[1] Joakim Nivre. Verb second in categorial grammar. In Papers from the 12th Scandinavian Conference of Linguistics, pages 314--325, 1991. [ bib ]
[2] William Black, Jens Allwood, Harry Bunt, Frens Dols, Carlo Donzella, Giacomo Ferrari, John Gallagher, Rainer Haidan, Bill Imlah, Kristiina Jokinen, Jean-Marie Lancel, Joakim Nivre, Gerard Sabah, and Tom Wachtel. A pragmatics based language understanding system. In Proceedings of the ESPRIT Conference, 1991. [ bib ]
[3] Joakim Nivre. A situation theoretic analysis of meaning as communicative intention. In Proceedings of the XIVth Scandinavian Conference of Linguistics and the VIIIth Conference of Nordic and General Linguistics, pages 311--321, 1994. [ bib ]
[4] Joakim Nivre. Dialogue management through context management. In NODALIDA '93. Proceedings of `9:e Nordiska Datalingvistikdagarna', pages 165--174, 1994. [ bib ]
[5] Joakim Nivre. Empty categories and syntactic ontology. In Papers from the XVth Scandinavian Conference of Linguistics, 1995. [ bib ]
[6] Joakim Nivre and Torbjörn Nordgård. Two ways of eliminating empty categories. In Short Papers Presented at the 10th Nordic Conference of Computational Linguistics (NODALIDA), 1995. [ bib ]
[7] Joakim Nivre, Leif Grönqvist, Malin Gustafsson, Torbjörn Lager, and Sylvana Sofkova. Tagging spoken language using written language statistics. In Proceedings of the 16th International Conference of Computational Linguistics (COLING-96), 1996. [ bib | .pdf ]
[8] Harold Somers, Bill Black, Jeremy Ellman, Luca Gilardoni, Torbjörn Lager, Annarosa Multari, Joakim Nivre, and Alex Rogers. Multilingual generation and summarization of job adverts: The tree project. In Proceedings of the Fifth Applied Natural Language Processing Conference, 1997. [ bib | .pdf ]
[9] Joakim Nivre, Jens Allwood, Jenny Holm, Dario Lopez-Kästen, Kristina Tullgren, Elisabeth Ahlsén, Leif Grönqvist, and Sylvana Sofkova. Towards multimodal spoken language corpora: Transtool and synctool. In Proceedings of the COLING-ACL Workshop on Partially Automated Techniques for Transcribing Naturally Occurring Speech, 1998. [ bib ]
[10] Joakim Nivre and Torbjörn Nordgård. Semantic anchoring of syntactic theories. In Papers from the 16th Scandinavian Conference of Linguistics, pages 320--331, 1998. [ bib ]
[11] Joakim Nivre. Existential indefinites in spoken Swedish. In Korpusar i forskning och undervisning. Rapport från ASLA:s höstsymposium, pages 242--254, 2000. [ bib ]
[12] Joakim Nivre. A Scandinavian perspective on Swedish indefinite determiners. In Proceedings of the 18th Scandinavian Conference of Linguistics. Volume 2, pages 81--92, 2001. [ bib ]
[13] Joakim Nivre. On statistical methods in natural language processing. In Promote IT. Second Conference for the Promotion of Research in IT at New Universities and University Colleges in Sweden, pages 684--694, 2002. [ bib | .pdf ]
[14] Joakim Nivre. What kinds of trees grow in Swedish soil? A comparison of four annotation schemes for Swedish. In Proceedings of the First Workshop on Treebanks and Linguistic Theories (TLT), 2002. [ bib | .pdf ]
[15] Niklas Pettersson, Jesper Andersson, and Joakim Nivre. Architectural mismatch detection using feature logic. In Proceedings of Software Engineering Research and Practice (SERPS), 2002. [ bib ]
[16] Joakim Nivre. An efficient algorithm for projective dependency parsing. In Proceedings of the 8th International Workshop on Parsing Technologies (IWPT), pages 149--160, 2003. [ bib | .pdf ]
[17] Joakim Nivre. Optimizing a deterministic dependency parser for unrestricted Swedish text. In Proceedings of Promote IT, 2003. [ bib | .pdf ]
[18] Joakim Nivre. Theory-supporting treebanks. In Proceedings of the Second Workshop on Treebanks and Linguistic Theories (TLT), pages 199--206, 2003. xs. [ bib | .pdf ]
[19] Joakim Nivre, Johan Hall, and Jens Nilsson. Memory-based dependency parsing. In Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL), pages 49--56, 2004. [ bib | .pdf ]
[20] Joakim Nivre and Jens Nilsson. Multiword units in syntactic parsing. In MEMURA 2004 -- Methodologies and Evaluation of Multiword Units in Real-World Applications (LREC Workshop), pages 39--46, 2004. [ bib | .pdf ]
[21] Joakim Nivre. Incrementality in deterministic dependency parsing. In Incremental Parsing: Bringing Engineering and Cognition Together (ACL Workshop), pages 50--57, 2004. [ bib | .pdf ]
[22] Joakim Nivre and Mario Scholz. Deterministic dependency parsing of English text. In Proceedings of the 20th International Conference on Computational Linguistics (COLING), pages 64--70, 2004. [ bib | .pdf ]
[23] Joakim Nivre. Bootstrapping lexical models in deterministic dependency parsing. In Proceedings of Promote IT 2005, pages 327--336, 2005. [ bib ]
[24] Jens Nilsson, Johan Hall, and Joakim Nivre. MAMBA meets TIGER: Reconstructing a Swedish treebank from antiquity. In Proceedings from the special session on treebanks at NODALIDA 2005, pages 119--132, 2005. [ bib | .pdf ]
[25] Joakim Nivre and Johan Hall. A generic architecture for data-driven dependency parsing. In Proceedings of the 15th NODALIDA Conference, pages 47--56, 2005. [ bib ]
[26] Joakim Nivre and Jens Nilsson. Pseudo-projective dependency parsing. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL), pages 99--106, 2005. [ bib | .pdf ]
[27] Joakim Nivre and Johan Hall. MaltParser: A language-independent system for data-driven dependency parsing. In Proceedings of the Fourth Workshop on Treebanks and Linguistic Theories (TLT), pages 137--148, 2005. [ bib | .pdf ]
[28] Svetoslav Marinov and Joakim Nivre. A data-driven parser for Bulgarian. In Proceedings of the Fourth Workshop on Treebanks and Linguistic Theories (TLT), pages 89--100, 2005. [ bib | .pdf ]
[29] Joakim Nivre. Constraints on non-projective dependency parsing. In Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pages 73--80, 2006. [ bib | .pdf ]
[30] Joakim Nivre, Johan Hall, and Jens Nilsson. MaltParser: A data-driven parser-generator for dependency parsing. In Proceedings of the 5th International Conference on Language Resources and Evaluation (LREC), pages 2216--2219, 2006. [ bib | .pdf ]
[31] Joakim Nivre, Jens Nilsson, and Johan Hall. Talbanken05: A Swedish treebank with phrase structure and dependency annotation. In Proceedings of the 5th International Conference on Language Resources and Evaluation (LREC), pages 1392--1395, 2006. [ bib | .pdf ]
[32] Joakim Nivre, Johan Hall, Jens Nilsson, Gülsen Eryiğit, and Svetoslav Marinov. Labeled pseudo-projective dependency parsing with support vector machines. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL), pages 221--225, 2006. [ bib | .pdf ]
[33] Jens Nilsson, Joakim Nivre, and Johan Hall. Graph transformations in data-driven dependency parsing. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL), pages 257--264, 2006. [ bib | .pdf ]
[34] Johan Hall, Joakim Nivre, and Jens Nilsson. Discriminative classifiers for deterministic dependency parsing. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL) Main Conference Poster Sessions, pages 316--323, 2006. [ bib | .pdf ]
[35] Marco Kuhlmann and Joakim Nivre. Mildly non-projective dependency structures. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL) Main Conference Poster Sessions, pages 507--514, 2006. [ bib | .pdf ]
[36] Gülsen Eryiğit, Joakim Nivre, and Kemal Oflazer. The incremental use of morphological information and lexicalization in data-driven dependency parsing. In Proceedings of the 21st International Conference on the Computer Processing of Oriental Languages, pages 498--507, 2006. [ bib ]
[37] Niklas Pettersson, Welf Löwe, and Joakim Nivre. On evaluation of accuracy in pattern detection. In Proceedings of the First International Workshop on Design Pattern Detection for Reverse Engineering (DPD4RE), 2006. [ bib ]
[38] Joakim Nivre. Incremental non-projective dependency parsing. In Proceedings of Human Language Technologies: The Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT), pages 396--403, 2007. [ bib | .pdf ]
[39] Susanne Ekeklint and Joakim Nivre. A dependency-based conversion of PropBank. In Proceedings of FRAME 2007: Building Frame Semantics Resources for Scandinavian and Baltic Languages, pages 19--25, 2007. [ bib | .pdf ]
[40] Johan Hall, Joakim Nivre, and Jens Nilsson. A hybrid constituency-dependency parser for Swedish. In Proceedings of the 16th Nordic Conference on Computational Linguistics (NODALIDA), pages 284--287, 2007. [ bib | http ]
[41] Joakim Nivre. Data-driven dependency parsing across languages and domains: Perspectives from the CoNLL-2007 shared task. In Proceedings of the Tenth International Conference on Parsing Technologies, pages 168--170, 2007. [ bib | .pdf ]
[42] Jens Nilsson, Joakim Nivre, and Johan Hall. Tree transformations for inductive dependency parsing. In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics, pages 968--975, 2007. [ bib | .pdf ]
[43] Ryan McDonald and Joakim Nivre. Characterizing the errors of data-driven dependency parsing models. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 122--131, 2007. [ bib | .pdf ]
[44] Joakim Nivre, Johan Hall, Sandra Kübler, Ryan McDonald, Jens Nilsson, Sebastian Riedel, and Deniz Yuret. The CoNLL 2007 shared task on dependency parsing. In Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007, pages 915--932, 2007. [ bib | .pdf ]
[45] Johan Hall, Jens Nilsson, Joakim Nivre, Gülsen Eryiğit, Beáta Megyesi, Mattias Nilsson, and Marcus Saers. Single malt or blended? a study in multilingual parser optimization. In Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007, pages 933--939, 2007. [ bib | .pdf ]
[46] Lilja Øvrelid and Joakim Nivre. When word order and part-of-speech tags are not enough -- Swedish dependency parsing with rich linguistic features. In Proceedings of the International Conference on Recent Advances in Natural Language Processing, pages 447--451, 2007. [ bib | .pdf ]
[47] Joakim Nivre and Beáta Megyesi. Bootstrapping a Swedish treeebank using cross-corpus harmonization and annotation projection. In Proceedings of the 6th International Workshop on Treebanks and Linguistic Theories, pages 97--102, 2007. [ bib | .pdf ]
[48] Jens Nilsson and Joakim Nivre. MaltEval: An evaluation and visualization tool for dependency parsing. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC), pages 161--166, 2008. [ bib | .pdf ]
[49] Beáta Megyesi, Bengt Dahlqvist, Eva Pettersson, and Joakim Nivre. Swedish-Turkish parallel treebank. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC), pages 470--473, 2008. [ bib | .pdf ]
[50] Joakim Nivre and Ryan McDonald. Integrating graph-based and transition-based dependency parsers. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-08: HLT), pages 950--958, 2008. [ bib | .pdf ]
[51] Johan Hall and Joakim Nivre. A dependency-driven parser for German dependency and constituency representations. In Proceedings of the ACL Workshop on Parsing German, pages 47--54, 2008. [ bib | .pdf ]
[52] Mihai Surdeanu, Richard Johansson, Adam Meyers, Lluís Màrquez, and Joakim Nivre. The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies. In Proceedings of the 12th Conference on Computational Natural Language Learning (CoNLL), pages 159--177, 2008. [ bib | .pdf ]
[53] Joakim Nivre, Igor M. Boguslavsky, and Leonid K. Iomdin. Parsing the SynTagRus treebank of Russian. In Proceedings of the 22nd International Conference on Computational Linguistics (COLING), pages 641--648, 2008. [ bib | .pdf ]
[54] Joakim Nivre. Sorting out dependency parsing. In Proceedings of the 6th International Conference on Natural Language Processing (GoTAL), pages 16--27, 2008. [ bib | .pdf ]
[55] Johan Hall and Joakim Nivre. Parsing discontinuous phrase structure with grammatical functions. In Proceedings of the 6th International Conference on Natural Language Processing (GoTAL), pages 169--180, 2008. [ bib ]
[56] Jens Nilsson and Joakim Nivre. Dependency parsing by transformation and combination. In Proceedings of the 6th International Conference on Natural Language Processing (GoTAL), pages 348--359, 2008. [ bib ]
[57] Mihaela Calacean and Joakim Nivre. A data-driven dependency parser for Romanian. In Proceedings of the Seventh International Workshop on Treebanks and Linguistic Theories (TLT), pages 65--76, 2009. [ bib | .pdf ]
[58] Mark Fishel and Joakim Nivre. Voting and stacking in data-driven dependency parsing. In Proceedings of the 17th Nordic Conference of Computational Linguistics (NODALIDA), 2009. [ bib | http ]
[59] Mattias Nilsson and Joakim Nivre. Learning where to look: Modeling eye movements in reading. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL), pages 93--101, 2009. [ bib | .pdf ]
[60] Jan Hajič, Massimiliano Ciaramita, Richard Johansson, Daisuke Kawahara, M. Antònia Martí, Lluís Màrquez, Adam Meyers, Joakim Nivre, Sebastian Padó, Jan Štěpánek, Pavel Straňák, Mihai Surdeanu, Nianwen Xue, and Yue Zhang. The CoNLL-2009 shared task: Syntactic and semantic dependencies in multiple languages. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task, pages 1--18, 2009. [ bib | .pdf ]
[61] Joakim Nivre. Non-projective dependency parsing in expected linear time. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, pages 351--359, 2009. [ bib | .pdf ]
[62] Marcus Saers, Joakim Nivre, and Dekai Wu. Learning stochastic bracketing inversion transduction grammars with a cubic time biparsing algorithm. In Proceedings of the 11th International Conference on Parsing Technologies (IWPT), pages 29--32, 2009. [ bib | .pdf ]
[63] Jens Nilsson, Welf Löwe, Johan Hall, and Joakim Nivre. Parsing formal languages using natural language parsing techniques. In Proceedings of the 11th International Conference on Parsing Technologies (IWPT), pages 49--60, 2009. [ bib | .pdf ]
[64] Joakim Nivre, Marco Kuhlmann, and Johan Hall. An improved oracle for dependency parsing with online reordering. In Proceedings of the 11th International Conference on Parsing Technologies (IWPT), pages 73--76, 2009. [ bib | .pdf ]
[65] Alberto Lavelli, Johan Hall, Jens Nilsson, and Joakim Nivre. MaltParser at the EVALITA 2009 dependency parsing task. In Proceedings of EVALITA 2009, 2009. [ bib ]
[66] Joakim Nivre. Parsing Indian languages with MaltParser. In Proceedings of the ICON09 NLP Tools Contest: Indian Language Dependency Parsing, pages 12--18, 2009. [ bib | .pdf ]
[67] Christina Bosco, Simonetta Montemagni, Alessandro Mazzei, Vincenzo Lombardo, Felice Dell'Orletta, Alessandro Lenci, Leonardo Lesmo, Giuseppe Attardi, Maria Simi, Alberto Lavelli, Johan Hall, Jens Nilsson, and Joakim Nivre. Comparing the influence of different treebank annotations on dependency parsing. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC), pages 1794--1801, 2010. [ bib ]
[68] Beáta Megyesi, Bengt Dahlqvist, Eva A. Csato, and Joakim Nivre. The English-Swedish-Turkish parallel treebank. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC), pages 3393--3397, 2010. [ bib | .pdf ]
[69] Marcus Saers, Joakim Nivre, and Dekai Wu. Word alignment with stochastic bracketing linear inversion transduction grammar. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 341--344, 2010. [ bib | .pdf ]
[70] Bharat Ram Ambati, Samar Husain, Joakim Nivre, and Rajeev Sangal. On the role of morphosyntactic features in Hindi dependency parsing. In Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages, pages 94--102, 2010. [ bib | .pdf ]
[71] Carlos Gómez-Rodríguez and Joakim Nivre. A transition-based parser for 2-planar dependency structures. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 1492--1501, 2010. [ bib | .pdf ]
[72] Mattias Nilsson and Joakim Nivre. Towards a data-driven model of eye movement control in reading. In Proceedings of the ACL Workshop on Cognitive Modeling and Computational Linguistics, pages 63--71, 2010. [ bib | .pdf ]
[73] Marcus Saers, Joakim Nivre, and Dekai Wu. Linear inversion transduction grammar alignments as a second translation path. In Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, pages 167--171, 2010. [ bib | .pdf ]
[74] Joakim Nivre, Laura Rimell, Ryan McDonald, and Carlos Gómez-Rodríguez. Evaluation of dependency parsers on unbounded dependencies. In Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), pages 833--841, 2010. [ bib | .pdf ]
[75] Marie Candito, Joakim Nivre, Pascal Denis, and Ernesto Henestroza Anguiano. Benchmarking of statistical dependency parsers for French. In Coling 2010: Posters, pages 108--116, 2010. [ bib | .pdf ]
[76] Marcus Saers, Joakim Nivre, and Dekai Wu. A systematic comparison between inversion transduction grammar and linear transduction grammar for word alignment. In Proceedings of the 4th Workshop on Syntax and Structure in Statistical Translation, pages 10--18, 2010. [ bib | .pdf ]
[77] Joakim Nivre. Bare-bones dependency parsing -- a case for Occam's razor? In Proceedings of the 18th Nordic Conference of Computational Linguistics (NODALIDA), pages 6--11, 2011. [ bib ]
[78] Yue Zhang and Joakim Nivre. Transition-based dependency parsing with rich non-local features. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 188--193, 2011. [ bib | .pdf ]
[79] Eneko Agirre, Kepa Bengoetxea, Koldo Gojenola, and Joakim Nivre. Improving dependency parsing with semantic classes. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 699--703, 2011. [ bib | .pdf ]
[80] Mattias Nilsson and Joakim Nivre. A survival analysis of fixation times in reading. In Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics (ACL Workshop), pages 107--115, 2011. [ bib | .pdf ]
[81] Eva Pettersson and Joakim Nivre. Automatic verb extraction from historical Swedish texts. In Proceedings of the 5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, pages 87--95, 2011. [ bib | .pdf ]
[82] Li Wang, Marco Lui, Su Nam Kim, Joakim Nivre, and Tim Baldwin. Predicting thread discourse structure over technical web forums. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 13--25, 2011. [ bib | .pdf ]
[83] Reut Tsarfaty, Joakim Nivre, and Evelina Andersson. Evaluating dependency parsing: Robust and heuristics-free cross-annotation evaluation. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 385--396, 2011. [ bib | .pdf ]
[84] Jennifer Foster, Ozlem Cetinoglu, Joachim Wagner, Joseph Le Roux, Joakim Nivre, Deirdre Hogan, and Josef van Genabith. From news to comment: Resources and benchmarks for parsing the language of web 2.0. In Proceedings of 5th International Joint Conference on Natural Language Processing, pages 893--901, 2011. [ bib | .pdf ]
[85] Samar Husain, Phani Gadde, Joakim Nivre, and Rajeev Sangal. Clausal parsing helps data-driven dependency parsing: Experiments with Hindi. In Proceedings of 5th International Joint Conference on Natural Language Processing, pages 1279--1287, 2011. [ bib | .pdf ]
[86] Jennifer Foster, Ozlem Cetinoglu, Joachim Wagner, Joseph Le Roux, Stephen Hogan, Joakim Nivre, Deirdre Hogan, and Josef van Genabith. # hardtoparse: POS tagging and parsing the twitterverse. In Proceedings of the Workshop On Analyzing Microtext (AAAI 2011), pages 20--25, 2011. [ bib ]
[87] Reut Tsarfaty, Joakim Nivre, and Evelina Andersson. Cross-framework evaluation for statistical parsing. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pages 44--54, 2012. [ bib | .pdf ]
[88] Miguel Ballesteros and Joakim Nivre. MaltOptimizer: An optimization tool for MaltParser. In Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pages 58--62, 2012. [ bib | .pdf ]
[89] Eva Pettersson, Beáta Megyesi, and Joakim Nivre. Parsing the past -- identification of verb constructions in historical text. In Proceedings of the 6th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, pages 65--74, 2012. [ bib | .pdf ]
[90] Miguel Ballesteros and Joakim Nivre. MaltOptimizer: A system for MaltParser optimization. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC), 2012. [ bib | .pdf ]
[91] Mojgan Seraji, Beáta Megyesi, and Joakim Nivre. A basic language resource kit for Persian. In Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12), pages 2245--2252, 2012. [ bib | .pdf ]
[92] Christian Hardmeier, Joakim Nivre, and Jörg Tiedemann. Tree kernels for machine translation quality estimation. In Proceedings of the Seventh Workshop on Statistical Machine Translation, pages 109--113, 2012. [ bib | .pdf ]
[93] Reut Tsarfaty, Joakim Nivre, and Evelina Andersson. Joint evaluation of morphological segmentation and syntactic parsing. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 6--10, 2012. [ bib | .pdf ]
[94] Bernd Bohnet and Joakim Nivre. A transition-based system for joint part-of-speech tagging and labeled non-projective dependency parsing. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages 1455--1465, 2012. [ bib | .pdf ]
[95] Christian Hardmeier, Joakim Nivre, and Jörg Tiedemann. Document-wide decoding for phrase-based statistical machine translation. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages 1179--1190, 2012. [ bib | .pdf ]
[96] Eva Pettersson, Beáta Megyesi, and Joakim Nivre. Rule-based normalisation of historical text -- a diachronic study. In Empirical Methods in Natural Language Processing: Proceedings of the Conference on Natural Language Processing (KONVENS), pages 333--341, 2012. [ bib ]
[97] Yoav Goldberg and Joakim Nivre. A dynamic oracle for arc-eager dependency parsing. In Proceedings of the 24th International Conference on Computational Linguistics (COLING), pages 959--976, 2012. [ bib | .pdf ]
[98] Yue Zhang and Joakim Nivre. Analyzing the effect of global learning and beam-search on transition-based dependency parsing. In Proceedings of the 24th International Conference on Computational Linguistics (COLING): Posters, pages 1391--1400, 2012. [ bib | .pdf ]
[99] Mojgan Seraji, Beáta Megyesi, and Joakim Nivre. Dependency parsers for Persian. In Proceedings of 10th Workshop on Asian Language Resources, pages 35--44, 2012. [ bib | .pdf ]
[100] Eva Pettersson, Beáta Megyesi, and Joakim Nivre. Normalisation of historical text using context-sensitive weighted Levenshtein distance and compound splitting. In Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA), pages 163--180, 2013. [ bib ]
[101] Sara Stymne, Jörg Tiedemann, Christian Hardmeier, and Joakim Nivre. Statistical machine translation with readability constraints. In Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA), pages 375--386, 2013. [ bib ]
[102] Oscar Täckström, Ryan McDonald, and Joakim Nivre. Target language adaptation of discriminative transfer parsers. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1061--1071, 2013. [ bib | .pdf ]
[103] Francesco Sartorio, Giorgio Satta, and Joakim Nivre. A transition-based dependency parser using a dynamic parsing strategy. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 135--144, 2013. [ bib | .pdf ]
[104] Ryan McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage, Yoav Goldberg, Dipanjan Das, Kuzman Ganchev, Keith Hall, Slav Petrov, Hao Zhang, Oscar Täckström, Claudia Bedini, Nuria Bertomeu Castelló, and Jungmee Lee. Universal dependency annotation for multilingual parsing. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 92--97, 2013. [ bib | .pdf ]
[105] Christian Hardmeier, Sara Stymne, Jörg Tiedemann, and Joakim Nivre. Docent: A document-level decoder for phrase-based statistical machine translation. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 193--198, 2013. [ bib | .pdf ]
[106] Sara Stymne, Christian Hardmeier, Jörg Tiedemann, and Joakim Nivre. Tunable distortion limits and corpus cleaning for SMT. In Proceedings of the Eighth Workshop on Statistical Machine Translation, pages 225--231, 2013. [ bib | .pdf ]
[107] Sara Stymne, Christian Hardmeier, Jörg Tiedemann, and Joakim Nivre. Feature weight optimization for discourse-level SMT. In Proceedings of the Workshop on Discourse in Machine Translation, pages 60--69, 2013. [ bib | .pdf ]
[108] Jurgita Kapociute-Dzikiene, Joakim Nivre, and Algis Krupavicius. Lithuanian dependency parsing with rich morphological features. In Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages, pages 12--21, 2013. [ bib | .pdf ]
[109] Djamé Seddah, Reut Tsarfaty, Sandra Kübler, Marie Candito, Jinho D. Choi, Richárd Farkas, Jennifer Foster, Iakes Goenaga, Koldo Gojenola Galletebeita, Yoav Goldberg, Spence Green, Nizar Habash, Marco Kuhlmann, Wolfgang Maier, Joakim Nivre, Adam Przepiórkowski, Ryan Roth, Wolfgang Seeker, Yannick Versley, Veronika Vincze, Marcin Woliński, and Alina Wróblewska. Overview of the spmrl 2013 shared task: A cross-framework evaluation of parsing morphologically rich languages. In Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages, pages 146--182, 2013. [ bib | .pdf ]
[110] Christian Hardmeier, Jörg Tiedemann, and Joakim Nivre. Latent anaphora resolution for cross-lingual pronoun prediction. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 380--391, 2013. [ bib | .pdf ]
[111] Eva Pettersson, Beáta Megyesi, and Joakim Nivre. A multilingual evaluation of three spelling normalisation methods for historical text. In Proceedings of the 8th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH), pages 32--41, 2014. [ bib | .pdf ]
[112] Marie Dubremetz and Joakim Nivre. Extraction of nominal multiword expressions in French. In Proceedings of the 10th Workshop on Multiword Expressions (MWE), pages 72--76, 2014. [ bib | .pdf ]
[113] Edvin Ullman and Joakim Nivre. Paraphrasing Swedish compound nouns in machine translation. In Proceedings of the 10th Workshop on Multiword Expressions (MWE), pages 99--103, 2014. [ bib | .pdf ]
[114] Nina Schottmüller and Joakim Nivre. Issues in translating verb-particle constructions from German to English. In Proceedings of the 10th Workshop on Multiword Expressions (MWE), pages 124--131, 2014. [ bib | .pdf ]
[115] Mojgan Seraji, Carina Jahani, Beáta Megyesi, and Joakim Nivre. A Persian treebank with Stanford typed dependencies. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC), pages 796--801, 2014. [ bib | .pdf ]
[116] Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, Katri Haverinen, Filip Ginter, Joakim Nivre, and Christopher D. Manning. Universal Stanford dependencies: A cross-linguistic typology. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC), pages 4585--4592, 2014. [ bib | .pdf ]
[117] Kepa Bengoetxea, Eneko Agirre, Joakim Nivre, Yue Zhang, and Koldo Gojenola. On wordnet semantic classes and dependency parsing. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 649--655, 2014. [ bib | .pdf ]
[118] Jörg Tiedemann, Željko Agić, and Joakim Nivre. Treebank translation for cross-lingual parser induction. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning (CoNLL), pages 130--140, 2014. [ bib | .pdf ]
[119] Christian Hardmeier, Sara Stymne, Jörg Tiedemann, Aaron Smith, and Joakim Nivre. Anaphora models and reordering for phrase-based SMT. In Proceedings of the Ninth Workshop on Statistical Machine Translation, pages 122--129, 2014. [ bib | .pdf ]
[120] Sara Stymne, Jörg Tiedemann, and Joakim Nivre. Estimating word alignment quality for SMT reordering tasks. In Proceedings of the Ninth Workshop on Statistical Machine Translation, pages 275--286, 2014. [ bib | .pdf ]
[121] Eva Pettersson and Joakim Nivre. Improving verb phrase extraction from historical text by use of verb valency frames. In Proceedings of the 20th Nordic Conference of Computational Linguistics, pages 153--161, 2015. [ bib | .pdf ]
[122] Marie Dubremetz and Joakim Nivre. Rhetorical figure detection: the case of chiasmus. In Proceedings of the Fourth Workshop on Computational Linguistics for Literature, pages 23--31, 2015. [ bib | .pdf ]
[123] Meghdad Farahmand, Aaron Smith, and Joakim Nivre. A multiword expression data set: Annotating non-compositionality and conventionalization for english noun compounds. In Proceedings of the 11th Workshop on Multiword Expressions, pages 29--33, 2015. [ bib | .pdf ]
[124] Meghdad Farahmand and Joakim Nivre. Modeling the statistical idiosyncrasy of multiword expressions. In Proceedings of the 11th Workshop on Multiword Expressions, pages 34--38, 2015. [ bib | .pdf ]
[125] Mojgan Seraji, Bernd Bohnet, and Joakim Nivre. ParsPer: A dependency parser for persian. In Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015), pages 300--309, 2015. [ bib | http ]
[126] Anders Björkelund and Joakim Nivre. Non-deterministic oracles for unrestricted non-projective transition-based dependency parsing. In Proceedings of the 14th International Conference on Parsing Technologies, pages 76--86, 2015. [ bib | http ]
[127] Eva Pettersson, Beáta Megyesi, and Joakim Nivre. Ranking relevant verb phrases extracted from historical text. In Proceedings of the 9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH), pages 39--47, 2015. [ bib | http ]
[128] Yan Shao, Jörg Tiedemann, and Joakim Nivre. Boosting english-chinese machine transliteration via high quality alignment and multilingual resources. In Proceedings of the Fifth Named Entity Workshop, pages 56--60, 2015. [ bib | http ]
[129] Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Yoav Goldberg, Jan Hajič, Christopher D. Manning, Ryan McDonald, Slav Petrov, Sampo Pyysalo, Natalia Silveira, Reut Tsarfaty, and Daniel Zeman. Universal dependencies v1: A multilingual treebank collection. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), pages 1659--1666, 2016. [ bib | .pdf ]
[130] Kaja Dobrovoljc and Joakim Nivre. The universal dependencies treebank of spoken slovenian. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), 2016. [ bib | .pdf ]
[131] Mojgan Seraji, Filip Ginter, and Joakim Nivre. Universal dependencies for persian. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), 2016. [ bib | .pdf ]
[132] Marie Dubremetz and Joakim Nivre. Syntax matters for rhetorical structure: The case of chiasmus. In Proceedings of the Fifth Workshop on Computational Linguistics for Literature, pages 47--53, 2016. [ bib | http ]
[133] Miryam de Lhoneux and Joakim Nivre. Should have, would have, could have. investigating verb group representations for parsing with universal dependencies. In Proceedings of the Workshop on Multilingual and Cross­-lingual Methods in NLP, pages 10--19, 2016. [ bib | http ]
[134] Matthieu Constant and Joakim Nivre. A transition-based system for joint lexical and syntactic analysis. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 161--171, 2016. [ bib | http ]
[135] Yan Shao and Joakim Nivre. Applying neural networks to english-chinese named entity transliteration. In Proceedings of the Sixth Named Entity Workshop, pages 73--77, 2016. [ bib | http ]
[136] Umut Sulubacak, Memduh Gokirmak, Francis Tyers, Çağrı Çöltekin, Joakim Nivre, and Gülsen Eryiğit. Universal dependencies for turkish. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 3444--3454, 2016. [ bib | http ]
[137] Marie Dubremetz and Joakim Nivre. Machine learning for rhetorical figure detection: More chiasmus with less annotation. In Proceedings of the 21st Nordic Conference of Computational Linguistics, pages 37--45, 2017. [ bib | http ]
[138] Yan Shao, Christian Hardmeier, Jörg Tiedemann, and Joakim Nivre. Character-based joint segmentation and POS tagging for chinese using bidirectional RNN-CRF. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 173--183, 2017. [ bib | http ]
[139] Yan Shao, Christian Hardmeier, and Joakim Nivre. Recall is the proper evaluation metric for word segmentation. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 86--90, 2017. [ bib | http ]
[140] Miryam de Lhoneux, Sara Stymne, and Joakim Nivre. Old school vs. new school: Comparing transition-based parsers with and without neural network enhancement. In Proceedings of the 15th Treebanks and Linguistic Theories Workshop (TLT), pages 99--110, 2017. [ bib | .pdf ]
[141] Miryam de Lhoneux, Sara Stymne, and Joakim Nivre. Arc-hybrid non-projective dependency parsing with a static-dynamic oracle. In Proceedings of the 15th International Conference on Parsing Technologies, pages 99--104, 2017. [ bib | http ]
[142] Miryam de Lhoneux, Yan Shao, Ali Basirat, Eliyahu Kiperwasser, Sara Stymne, Yoav Goldberg, and Joakim Nivre. From raw text to universal dependencies -- look, no tags! In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 207--217, 2017. [ bib | http ]
[143] Daniel Zeman, Martin Popel, Milan Straka, Jan Hajic, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinkova, Jan Hajic jr., Jaroslava Hlavacova, Václava Kettnerová, Zdenka Uresova, Jenna Kanerva, Stina Ojala, Anna Missilä, Christopher D. Manning, Sebastian Schuster, Siva Reddy, Dima Taji, Nizar Habash, Herman Leung, Marie-Catherine de Marneffe, Manuela Sanguinetti, Maria Simi, Hiroshi Kanayama, Valeria dePaiva, Kira Droganova, Héctor Martínez Alonso, Çağrı Çöltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Michael Mandl, Jesse Kirchner, Hector Fernandez Alcalde, Jana Strnadová, Esha Banerjee, Ruli Manurung, Antonio Stella, Atsuko Shimada, Sookyoung Kwak, Gustavo Mendonca, Tatiana Lando, Rattima Nitisaroj, and Josie Li. Conll 2017 shared task: Multilingual parsing from raw text to universal dependencies. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 1--19, 2017. [ bib | http ]
[144] Ali Basirat and Joakim Nivre. Real-valued syntactic word vectors (rsv) for greedy neural dependency parsing. In Proceedings of the 21st Nordic Conference on Computational Linguistics, pages 20--28, 2017. [ bib | http ]
[145] Joakim Nivre and Chiao-Ting Fang. Universal dependency evaluation. In Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies (UDW 2017), pages 86--95, 2017. [ bib | http ]
[146] Sebastian Schuster, Joakim Nivre, and Christopher D. Manning. Sentences with gapping: Parsing and reconstructing elided predicates. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 1156--1168, 2018. [ bib | http ]
[147] Sara Stymne, Miryam de Lhoneux, Aaron Smith, and Joakim Nivre. Parser training with heterogeneous treebanks. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 619--625, 2018. [ bib | http ]
[148] Aaron Smith, Miryam de Lhoneux, Sara Stymne, and Joakim Nivre. An investigation of the interactions between pre-trained word embeddings, character models and POS tags in dependency parsing. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 2711--2720, 2018. [ bib | http ]
[149] Aaron Smith, Bernd Bohnet, Miryam de Lhoneux, Joakim Nivre, Yan Shao, and Sara Stymne. 82 treebanks, 34 models: Universal dependency parsing with multi-treebank models. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 113--123, 2018. [ bib | http ]
[150] Daniel Zeman, Jan Hajič, Martin Popel, Martin Potthast, Milan Straka, Filip Ginter, Joakim Nivre, and Slav Petrov. Conll 2018 shared task: Multilingual parsing from raw text to universal dependencies. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 1--21, 2018. [ bib | http ]
[151] Gongbo Tang, Fabienne Cap, Eva Pettersson, and Joakim Nivre. An evaluation of neural machine translation models on historical spelling normalization. In Proceedings of the 27th International Conference on Computational Linguistics, pages 1320--1331, 2018. [ bib | http ]
[152] Gongbo Tang, Rico Sennrich, and Joakim Nivre. An analysis of attention mechanisms: The case of word sense disambiguation in neural machine translation. In Proceedings of the Third Conference on Machine Translation: Research Papers, pages 26--35, 2018. [ bib | http ]
[153] Gosse Bouma, Jan Haji{č}, Dag Haug, Joakim Nivre, Per Erik Solberg, and Lilja Øvrelid. Expletives in universal dependency treebanks. In Proceedings of the Second Workshop on Universal Dependencies (UDW 2018), pages 18--26, 2018. [ bib | http ]
[154] Joakim Nivre, Paola Marongiu, Filip Ginter, Jenna Kanerva, Simonetta Montemagni, Sebastian Schuster, and Maria Simi. Enhancing universal dependency treebanks: A case study. In Proceedings of the Second Workshop on Universal Dependencies (UDW 2018), pages 102--107, 2018. [ bib | http ]
[155] Miryam De Lhoneux, Miguel Ballesteros, and Joakim Nivre. Recursive subtree composition in LSTM-based dependency parsing. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 1566--1576, 2019. [ bib | http ]
[156] Gongbo Tang, Rico Sennrich, and Joakim Nivre. Encoders help you disambiguate word senses in neural machine translation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 1429--1435, 2019. [ bib | http ]
[157] Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, and Joakim Nivre. Deep contextualized word embeddings in transition-based and graph-based dependency parsing -- a tale of two parsers revisited. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 2755--2768, 2019. [ bib | http ]
[158] Gongbo Tang, Rico Sennrich, and Joakim Nivre. Understanding neural machine translation by simplification: The case of encoder-free models. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 1186--1193, 2019. [ bib | http ]
[159] Ailsa Meechan-Maddon and Joakim Nivre. How to parse low-resource languages: Cross-lingual parsing, target language annotation, or both? In Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019), pages 112--120, 2019. [ bib | http ]
[160] Elena Fano, Jussi Karlgren, and Joakim Nivre. Uppsala university and gavagai at CLEF eRISK: Comparing word embedding models. In Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019. CEUR-WS.org, 2019. [ bib | .pdf ]
[161] Gongbo Tang, Rico Sennrich, and Joakim Nivre. Understanding pure character-based neural machine translation: The case of translating Finnish into English. In Proceedings of the 28th International Conference on Computational Linguistics, pages 4251--4262. International Committee on Computational Linguistics, 2020. [ bib | http ]
[162] Daniel Hershcovich, Miryam de Lhoneux, Artur Kulmizev, Elham Pejhan, and Joakim Nivre. Køpsala: Transition-based graph parsing via efficient training and effective encoding. In Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, pages 236--244. Association for Computational Linguistics, 2020. [ bib | http ]
[163] Artur Kulmizev, Vinit Ravishankar, Mostafa Abdou, and Joakim Nivre. Do neural language models show preferences for syntactic formalisms? In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 4077--4091. Association for Computational Linguistics, 2020. [ bib | http ]
[164] Marsida Toska, Joakim Nivre, and Daniel Zeman. Universal Dependencies for Albanian. In Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020), pages 178--188. Association for Computational Linguistics, 2020. [ bib | http ]
[165] Maja Buljan, Joakim Nivre, Stephan Oepen, and Lilja Øvrelid. A tale of three parsers: Towards diagnostic evaluation for meaning representation parsing. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 1902--1909. European Language Resources Association, 2020. [ bib | http ]
[166] Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajič, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers, and Daniel Zeman. Universal Dependencies v2: An evergrowing multilingual treebank collection. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 4034--4043. European Language Resources Association, 2020. [ bib | http ]
[167] Joakim Nivre. Multilingual dependency parsing from universal dependencies to sesame street. In Petr Sojka, Ivan Kopeček, Karel Pala, and Aleš Horák, editors, Text, Speech, and Dialogue, pages 11--29. Springer International Publishing, 2020. [ bib ]
[168] Ali Basirat and Joakim Nivre. Syntactic nuclei in dependency parsing -- a multilingual exploration. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1376--1387, 2021. [ bib | DOI | http ]
[169] Vinit Ravishankar, Artur Kulmizev, Mostafa Abdou, Anders Søgaard, and Joakim Nivre. Attention can reflect syntactic structure (if you let it). In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 3031--3045, 2021. [ bib | DOI | http ]
[170] Fredrik Carlsson, Joey Öhman, Fangyu Liu, Severine Verlinden, Joakim Nivre, and Magnus Sahlgren. Fine-grained controllable text generation using non-residual prompting. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 6837--6857, 2022. [ bib | DOI | http ]
[171] Luise Dürlich, Sebastian Reimann, Gustav Finnveden, Joakim Nivre, and Sara Stymne. Cause and effect in governmental reports: Two data sets for causality detection in swedish. In Proceedings of the LREC 2022 Workshop on Natural Language Processing for Political Sciences, pages 46--55, 2022. [ bib | http ]
[172] Eva Lindqvist, Ellinor and. Pettersson and Joakim Nivre. To the most gracious highness, from your humble servant: Analysing Swedish 18th century petitions using text classification. In Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 53--64, 2022. [ bib | http ]
[173] Vinit Ravishankar and Joakim Nivre. The effects of corpus choice and morphosyntax on multilingual space induction. In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 4130--4139, 2022. [ bib | http ]
[174] Luise Dürlich, Evangelia Gogoulou, and Joakim Nivre. On the concept of resource-efficiency in NLP. In Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), pages 135--145, 2023. [ bib | http ]
[175] Artur Kulmizev and Joakim Nivre. Investigating UD treebanks via dataset difficulty measures. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 1076--1089, 2023. [ bib | http ]
[176] Luise Dürlich, Joakim Nivre, and Sara Stymne. What causes unemployment? unsupervised causality mining from Swedish governmental reports. In Proceedings of the Second Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2023), pages 25--29, 2023. [ bib | http ]
[177] Ellinor Lindqvist, Eva Pettersson, and Joakim Nivre. Low-resource techniques for analysing the rhetorical structure of Swedish historical petitions. In Proceedings of the Second Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2023), pages 132--139, 2023. [ bib | http ]
[178] Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Liane Guillou, Joakim Nivre, Magnus Sahlgren, Aarne Talman, and Shorouq Zahra. Overview of ELOQUENT 2024 -- shared tasks for evaluating generative language model quality. In Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2024), 2024. [ bib | http ]
[179] Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Liane Guillou, Joakim Nivre, Magnus Sahlgren, and Aarne Talman. ELOQUENT CLEF shared tasks for evaluation of generative language model quality. In Advances in Information Retrieval (ECIR 2024), 2024. [ bib | http ]
[180] Luise Dürlich, Evangelia Gogoulou, Liane Guillou, Joakim Nivre, and Shorouq Zahra. Overview of the CLEF-2024 eloquent lab: Task 2 on HalluciGen. In Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), pages 691--702, 2024. [ bib | .pdf ]
[181] Agata Savary, Daniel Zeman, Verginica Barbu Mititelu, Anabela Barreiro, Olesea Caftanatov, Marie-Catherine de Marneffe, Kaja Dobrovoljc, Gülsen Eryiğit, Voula Giouli, Bruno Guillaume, Stella Markantonatou, Nurit Melnik, Joakim Nivre, Atul Kr. Ojha, Carlos Ramisch, Abigail Walsh, Beata Wójtowicz, and Alina Wróblewska. UniDive: A COST action on universality, diversity and idiosyncrasy in language technology. In Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024, pages 372--382, 2024. [ bib | http ]
[182] Leonie Weissweiler, Nina Böbel, Kirian Guiller, Santiago Herrera, Wesley Scivetti, Arthur Lorenzi, Nurit Melnik, Archna Bhatia, Hinrich Schütze, Lori Levin, Amir Zeldes, Joakim Nivre, William Croft, and Nathan Schneider. UCxn: Typologically informed annotation of constructions atop Universal Dependencies. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 16919--16932, 2024. [ bib | http ]
[183] Ni Li, Shorouq Zahra, Mariana Brito, Clare Flynn, Olof Görnerup, Koffi Worou, Murathan Kurfali, Chanjuan Meng, Wim Thiery, Jakob Zscheischler, Gabriele Messori, and Joakim Nivre. Using LLMs to build a database of climate extreme impacts. In Proceedings of the 1st Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2024), pages 93--110, 2024. [ bib | http ]
[184] Fredrik Carlsson, Johan Broberg, Erik Hillbom, Magnus Sahlgren, and Joakim Nivre. Branch-GAN: Improving text generation with (not so) large language models. In The Twelfth International Conference on Learning Representations, 2024. [ bib | http ]
[185] Evangelia Gogoulou, Timothée Lesort, Magnus Boman, and Joakim Nivre. Continual learning under language shift. In Text, Speech, and Dialogue (TSD 2024), 2024. [ bib | http ]
[186] Anastasiia Aleksandrova and Joakim Nivre. Models and strategies for Russian word sense disambiguation: A comparative analysis. In Text, Speech, and Dialogue (TSD 2024), 2024. [ bib | http ]

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