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- affiliation: Uppsala University
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2020 – today
- 2024
[c156]Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Liane Guillou, Joakim Nivre, Magnus Sahlgren, Aarne Talman, Shorouq Zahra:
Overview of ELOQUENT 2024 - Shared Tasks for Evaluating Generative Language Model Quality. CLEF (2) 2024: 53-72- [c155]Luise Dürlich, Evangelia Gogoulou, Liane Guillou, Joakim Nivre, Shorouq Zahra:
Overview of the CLEF-2024 Eloquent Lab: Task 2 on HalluciGen. CLEF (Working Notes) 2024: 691-702 - [c154]Leonie Weissweiler, Nina Böbel, Kirian Guiller, Santiago Herrera, Wesley Samuel Scivetti, Arthur Lorenzi, Nurit Melnik, Archna Bhatia, Hinrich Schütze, Lori S. Levin, Amir Zeldes, Joakim Nivre, William Croft, Nathan Schneider:
UCxn: Typologically-Informed Annotation of Constructions Atop Universal Dependencies. LREC/COLING 2024: 16919-16932 - [c153]Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Liane Guillou, Joakim Nivre, Magnus Sahlgren, Aarne Talman
:
ELOQUENT CLEF Shared Tasks for Evaluation of Generative Language Model Quality. ECIR (5) 2024: 459-465 - [c152]Fredrik Carlsson, Johan Broberg, Erik Hillbom, Magnus Sahlgren, Joakim Nivre:
Branch-GAN: Improving Text Generation with (not so) Large Language Models. ICLR 2024 - [c151]Evangelia Gogoulou, Timothée Lesort, Magnus Boman, Joakim Nivre:
Continual Learning Under Language Shift. TSD (1) 2024: 71-84 - [c150]Anastasiia Aleksandrova, Joakim Nivre:
Models and Strategies for Russian Word Sense Disambiguation: A Comparative Analysis. TSD (1) 2024: 267-278 - [i28]Leonie Weissweiler, Nina Böbel, Kirian Guiller, Santiago Herrera, Wesley Scivetti, Arthur Lorenzi, Nurit Melnik, Archna Bhatia, Hinrich Schütze, Lori S. Levin, Amir Zeldes, Joakim Nivre, William Croft, Nathan Schneider:
UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies. CoRR abs/2403.17748 (2024) - 2023
- [c149]Artur Kulmizev, Joakim Nivre:
Investigating UD Treebanks via Dataset Difficulty Measures. EACL 2023: 1076-1089 - [c148]Luise Dürlich, Evangelia Gogoulou, Joakim Nivre:
On the Concept of Resource-Efficiency in NLP. NoDaLiDa 2023: 135-145 - [i27]Evangelia Gogoulou, Timothée Lesort, Magnus Boman, Joakim Nivre:
A Study of Continual Learning Under Language Shift. CoRR abs/2311.01200 (2023) - [i26]Timothy Baldwin, William Croft, Joakim Nivre, Agata Savary, Sara Stymne, Ekaterina Vylomova:
Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics (Dagstuhl Seminar 23191). Dagstuhl Reports 13(5): 22-70 (2023) - 2022
- [j32]Joakim Nivre, Ali Basirat, Luise Dürlich, Adam Moss:
Nucleus Composition in Transition-based Dependency Parsing. Comput. Linguistics 48(4): 849-886 (2022) - [j31]Artur Kulmizev, Joakim Nivre:
Schrödinger's tree - On syntax and neural language models. Frontiers Artif. Intell. 5 (2022) - [j30]Maja Buljan, Joakim Nivre, Stephan Oepen, Lilja Øvrelid:
A tale of four parsers: methodological reflections on diagnostic evaluation and in-depth error analysis for meaning representation parsing. Lang. Resour. Evaluation 56(4): 1075-1102 (2022) - [c147]Fredrik Carlsson, Joey Öhman, Fangyu Liu, Severine Verlinden, Joakim Nivre, Magnus Sahlgren:
Fine-Grained Controllable Text Generation Using Non-Residual Prompting. ACL (1) 2022: 6837-6857 - [c146]Vinit Ravishankar, Joakim Nivre:
The Effects of Corpus Choice and Morphosyntax on Multilingual Space Induction. EMNLP (Findings) 2022: 4130-4139 - [c145]Luise Dürlich, Sebastian Reimann, Gustav Finnveden, Joakim Nivre, Sara Stymne:
Cause and Effect in Governmental Reports: Two Data Sets for Causality Detection in Swedish. PoliticalNLP@LREC 2022: 46-55 - 2021
- [j29]Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, Daniel Zeman:
Universal Dependencies. Comput. Linguistics 47(2): 255-308 (2021) - [j28]Gongbo Tang, Philipp Rönchen, Rico Sennrich, Joakim Nivre:
Revisiting Negation in Neural Machine Translation. Trans. Assoc. Comput. Linguistics 9: 70-755 (2021) - [c144]Ali Basirat, Joakim Nivre:
Syntactic Nuclei in Dependency Parsing - A Multilingual Exploration. EACL 2021: 1376-1387 - [c143]Vinit Ravishankar, Artur Kulmizev, Mostafa Abdou, Anders Søgaard, Joakim Nivre:
Attention Can Reflect Syntactic Structure (If You Let It). EACL 2021: 3031-3045 - [i25]Vinit Ravishankar, Artur Kulmizev, Mostafa Abdou, Anders Søgaard, Joakim Nivre:
Attention Can Reflect Syntactic Structure (If You Let It). CoRR abs/2101.10927 (2021) - [i24]Ali Basirat, Joakim Nivre:
Syntactic Nuclei in Dependency Parsing - A Multilingual Exploration. CoRR abs/2101.11959 (2021) - [i23]Gongbo Tang, Philipp Rönchen, Rico Sennrich, Joakim Nivre:
Revisiting Negation in Neural Machine Translation. CoRR abs/2107.12203 (2021) - [i22]Artur Kulmizev, Joakim Nivre:
Schrödinger's Tree - On Syntax and Neural Language Models. CoRR abs/2110.08887 (2021) - [i21]Timothy Baldwin, William Croft, Joakim Nivre, Agata Savary:
Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics (Dagstuhl Seminar 21351). Dagstuhl Reports 11(7): 89-138 (2021) - 2020
- [j27]Miryam de Lhoneux, Sara Stymne, Joakim Nivre:
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions? Comput. Linguistics 46(4): 763-784 (2020) - [j26]Ali Basirat, Joakim Nivre:
Real-valued syntactic word vectors. J. Exp. Theor. Artif. Intell. 32(4): 557-579 (2020) - [c142]Artur Kulmizev, Vinit Ravishankar, Mostafa Abdou, Joakim Nivre:
Do Neural Language Models Show Preferences for Syntactic Formalisms? ACL 2020: 4077-4091 - [c141]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English. COLING 2020: 4251-4262 - [c140]Daniel Hershcovich, Miryam de Lhoneux, Artur Kulmizev, Elham Pejhan, Joakim Nivre:
Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding. IWPT 2020 2020: 236-244 - [c139]Maja Buljan, Joakim Nivre, Stephan Oepen, Lilja Øvrelid:
A Tale of Three Parsers: Towards Diagnostic Evaluation for Meaning Representation Parsing. LREC 2020: 1902-1909 - [c138]Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajic, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis M. Tyers, Daniel Zeman:
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection. LREC 2020: 4034-4043 - [c137]Joakim Nivre:
Multilingual Dependency Parsing from Universal Dependencies to Sesame Street. TDS 2020: 11-29 - [i20]Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajic, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis M. Tyers, Daniel Zeman:
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection. CoRR abs/2004.10643 (2020) - [i19]Artur Kulmizev, Vinit Ravishankar, Mostafa Abdou, Joakim Nivre:
Do Neural Language Models Show Preferences for Syntactic Formalisms? CoRR abs/2004.14096 (2020) - [i18]Daniel Hershcovich, Miryam de Lhoneux, Artur Kulmizev, Elham Pejhan, Joakim Nivre:
Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding. CoRR abs/2005.12094 (2020) - [i17]Ali Basirat, Christian Hardmeier, Joakim Nivre:
Principal Word Vectors. CoRR abs/2007.04629 (2020) - [i16]Ali Basirat, Joakim Nivre:
Greedy Transition-Based Dependency Parsing with Discrete and Continuous Supertag Features. CoRR abs/2007.04686 (2020) - [i15]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English. CoRR abs/2011.03469 (2020)
2010 – 2019
- 2019
- [c136]Elena Fano, Jussi Karlgren, Joakim Nivre:
Uppsala University and Gavagai at CLEF eRISK: Comparing Word Embedding Models. CLEF (Working Notes) 2019 - [c135]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Encoders Help You Disambiguate Word Senses in Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 1429-1435 - [c134]Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre:
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited. EMNLP/IJCNLP (1) 2019: 2755-2768 - [c133]Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre:
Recursive Subtree Composition in LSTM-Based Dependency Parsing. NAACL-HLT (1) 2019: 1566-1576 - [c132]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models. RANLP 2019: 1186-1193 - [i14]Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre:
Recursive Subtree Composition in LSTM-Based Dependency Parsing. CoRR abs/1902.09781 (2019) - [i13]Miryam de Lhoneux, Sara Stymne, Joakim Nivre:
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions? CoRR abs/1907.07950 (2019) - [i12]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models. CoRR abs/1907.08158 (2019) - [i11]Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre:
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited. CoRR abs/1908.07397 (2019) - [i10]Gongbo Tang, Rico Sennrich, Joakim Nivre:
Encoders Help You Disambiguate Word Senses in Neural Machine Translation. CoRR abs/1908.11771 (2019) - 2018
- [j25]Marie Dubremetz, Joakim Nivre:
Rhetorical Figure Detection: Chiasmus, Epanaphora, Epiphora. Frontiers Digit. Humanit. 5: 10 (2018) - [j24]Yan Shao, Christian Hardmeier, Joakim Nivre:
Universal Word Segmentation: Implementation and Interpretation. Trans. Assoc. Comput. Linguistics 6: 421-435 (2018) - [c131]Sara Stymne, Miryam de Lhoneux, Aaron Smith, Joakim Nivre:
Parser Training with Heterogeneous Treebanks. ACL (2) 2018: 619-625 - [c130]Gosse Bouma, Jan Hajic, Dag Trygve Truslew Haug, Joakim Nivre, Per Erik Solberg, Lilja Øvrelid:
Expletives in Universal Dependency Treebanks. UDW@EMNLP 2018: 18-26 - [c129]Joakim Nivre, Paola Marongiu, Filip Ginter, Jenna Kanerva, Simonetta Montemagni, Sebastian Schuster, Maria Simi:
Enhancing Universal Dependency Treebanks: A Case Study. UDW@EMNLP 2018: 102-107 - [c128]Gongbo Tang, Fabienne Cap, Eva Pettersson, Joakim Nivre:
An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization. COLING 2018: 1320-1331 - [c127]Daniel Zeman, Jan Hajic, Martin Popel, Martin Potthast, Milan Straka, Filip Ginter, Joakim Nivre, Slav Petrov:
CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. CoNLL Shared Task (2) 2018: 1-21 - [c126]Aaron Smith, Bernd Bohnet, Miryam de Lhoneux, Joakim Nivre, Yan Shao, Sara Stymne:
82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models. CoNLL Shared Task (2) 2018: 113-123 - [c125]Aaron Smith, Miryam de Lhoneux, Sara Stymne, Joakim Nivre:
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing. EMNLP 2018: 2711-2720 - [c124]Sebastian Schuster, Joakim Nivre, Christopher D. Manning:
Sentences with Gapping: Parsing and Reconstructing Elided Predicates. NAACL-HLT 2018: 1156-1168 - [c123]Gongbo Tang, Rico Sennrich, Joakim Nivre:
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation. WMT 2018: 26-35 - [i9]Sebastian Schuster, Joakim Nivre, Christopher D. Manning:
Sentences with Gapping: Parsing and Reconstructing Elided Predicates. CoRR abs/1804.06922 (2018) - [i8]Sara Stymne, Miryam de Lhoneux, Aaron Smith, Joakim Nivre:
Parser Training with Heterogeneous Treebanks. CoRR abs/1805.05089 (2018) - [i7]Gongbo Tang, Fabienne Cap, Eva Pettersson, Joakim Nivre:
An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization. CoRR abs/1806.05210 (2018) - [i6]Yan Shao, Christian Hardmeier, Joakim Nivre:
Universal Word Segmentation: Implementation and Interpretation. CoRR abs/1807.02974 (2018) - [i5]Aaron Smith, Miryam de Lhoneux, Sara Stymne, Joakim Nivre:
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing. CoRR abs/1808.09060 (2018) - [i4]Aaron Smith, Bernd Bohnet, Miryam de Lhoneux, Joakim Nivre, Yan Shao, Sara Stymne:
82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models. CoRR abs/1809.02237 (2018) - [i3]Gongbo Tang, Rico Sennrich, Joakim Nivre:
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation. CoRR abs/1810.07595 (2018) - 2017
- [c122]Joakim Nivre, Chiao-Ting Fang:
Universal Dependency Evaluation. UDW@NoDaLiDa 2017: 86-95 - [c121]Daniel Zeman, Martin Popel, Milan Straka, Jan Hajic, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis M. Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinková, Jan Hajic Jr., Jaroslava Hlavácová, Václava Kettnerová, Zdenka Uresová, 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 de Paiva, Kira Droganova, Héctor Martínez Alonso, Çagri Çöltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali El-Kahky, 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 Mendonça, Tatiana Lando, Rattima Nitisaroj, Josie Li:
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. CoNLL Shared Task (2) 2017: 1-19 - [c120]Miryam de Lhoneux, Yan Shao, Ali Basirat, Eliyahu Kiperwasser, Sara Stymne, Yoav Goldberg, Joakim Nivre:
From Raw Text to Universal Dependencies - Look, No Tags! CoNLL Shared Task (2) 2017: 207-217 - [c119]Yan Shao, Christian Hardmeier, Joakim Nivre:
Recall is the Proper Evaluation Metric for Word Segmentation. IJCNLP(2) 2017: 86-90 - [c118]Yan Shao, Christian Hardmeier, Jörg Tiedemann, Joakim Nivre:
Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF. IJCNLP(1) 2017: 173-183 - [c117]Miryam de Lhoneux, Sara Stymne, Joakim Nivre:
Arc-Hybrid Non-Projective Dependency Parsing with a Static-Dynamic Oracle. IWPT 2017: 99-104 - [c116]Ali Basirat, Joakim Nivre:
Real-valued Syntactic Word Vectors (RSV) for Greedy Neural Dependency Parsing. NODALIDA 2017: 20-28 - [c115]Marie Dubremetz, Joakim Nivre:
Machine Learning for Rhetorical Figure Detection: More Chiasmus with Less Annotation. NODALIDA 2017: 37-45 - [c114]Miryam de Lhoneux, Sara Stymne, Joakim Nivre:
Old School vs. New School: Comparing Transition-Based Parsers with and without Neural Network Enhancement. TLT 2017: 99-110 - [e7]Marie-Catherine de Marneffe, Joakim Nivre, Sebastian Schuster:
Proceedings of the NoDaLiDa Workshop on Universal Dependencies, UDW@NoDaLiDa 2017, Gothenburg, Sweden, May 22, 2017. Association for Computational Linguistics 2017, ISBN 978-91-7685-501-0 [contents] - [e6]Simonetta Montemagni, Joakim Nivre:
Proceedings of the Fourth International Conference on Dependency Linguistics, Depling 2017, Pisa, Italy, September 18-20, 2017. Linköping University Electronic Press 2017, ISBN 978-91-7685-467-9 [contents] - [i2]Yan Shao, Christian Hardmeier, Jörg Tiedemann, Joakim Nivre:
Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF. CoRR abs/1704.01314 (2017) - 2016
- [j23]Miguel Ballesteros, Joakim Nivre:
MaltOptimizer: Fast and effective parser optimization. Nat. Lang. Eng. 22(2): 187-213 (2016) - [j22]Ali Basirat, Heshaam Faili, Joakim Nivre:
A statistical model for grammar mapping. Nat. Lang. Eng. 22(2): 215-255 (2016) - [c113]Matthieu Constant, Joakim Nivre:
A Transition-Based System for Joint Lexical and Syntactic Analysis. ACL (1) 2016 - [c112]Yan Shao, Joakim Nivre:
Applying Neural Networks to English-Chinese Named Entity Transliteration. NEWS@ACM 2016: 73-77 - [c111]Marie Dubremetz, Joakim Nivre:
Syntax Matters for Rhetorical Structure: The Case of Chiasmus. CLfL@NAACL-HLT 2016: 47-53 - [c110]Umut Sulubacak, Memduh Gokirmak, Francis M. Tyers, Çagri Çöltekin, Joakim Nivre, Gülsen Eryigit:
Universal Dependencies for Turkish. COLING 2016: 3444-3454 - [c109]Kaja Dobrovoljc, Joakim Nivre:
The Universal Dependencies Treebank of Spoken Slovenian. LREC 2016 - [c108]Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Yoav Goldberg, Jan Hajic, Christopher D. Manning, Ryan T. McDonald, Slav Petrov, Sampo Pyysalo, Natalia Silveira, Reut Tsarfaty, Daniel Zeman:
Universal Dependencies v1: A Multilingual Treebank Collection. LREC 2016 - [c107]Mojgan Seraji, Filip Ginter, Joakim Nivre:
Universal Dependencies for Persian. LREC 2016 - [i1]Bernd Bohnet, Miguel Ballesteros, Ryan T. McDonald, Joakim Nivre:
Static and Dynamic Feature Selection in Morphosyntactic Analyzers. CoRR abs/1603.06503 (2016) - 2015
- [c106]Yan Shao, Jörg Tiedemann, Joakim Nivre:
Boosting English-Chinese Machine Transliteration via High Quality Alignment and Multilingual Resources. NEWS@ACL 2015: 56-60 - [c105]Joakim Nivre:
Towards a Universal Grammar for Natural Language Processing. CICLing (1) 2015: 3-16 - [c104]Marie Dubremetz, Joakim Nivre:
Rhetorical Figure Detection: the Case of Chiasmus. CLfL@NAACL-HLT 2015: 23-31 - [c103]Mojgan Seraji, Bernd Bohnet, Joakim Nivre:
ParsPer: A Dependency Parser for Persian. DepLing 2015: 300-309 - [c102]Anders Björkelund, Joakim Nivre:
Non-Deterministic Oracles for Unrestricted Non-Projective Transition-Based Dependency Parsing. IWPT 2015: 76-86 - [c101]Eva Pettersson, Beáta Megyesi, Joakim Nivre:
Ranking Relevant Verb Phrases Extracted from Historical Text. LaTeCH@ACL 2015: 39-47 - [c100]Meghdad Farahmand, Aaron Smith, Joakim Nivre:
A Multiword Expression Data Set: Annotating Non-Compositionality and Conventionalization for English Noun Compounds. MWE@NAACL-HLT 2015: 29-33 - [c99]Meghdad Farahmand, Joakim Nivre:
Modeling the Statistical Idiosyncrasy of Multiword Expressions. MWE@NAACL-HLT 2015: 34-38 - [c98]Eva Pettersson, Joakim Nivre:
Improving Verb Phrase Extraction from Historical Text by use of Verb Valency Frames. NODALIDA 2015: 153-161 - [e5]Eva Hajicová, Joakim Nivre:
Proceedings of the Third International Conference on Dependency Linguistics, DepLing 2015, August 24-26 2015, Uppsala University, Uppsala, Sweden. Uppsala University, Department of Linguistics and Philology 2015, ISBN 978-91-637-8965-6 [contents] - 2014
- [j21]Joakim Nivre, Yoav Goldberg, Ryan T. McDonald:
Constrained Arc-Eager Dependency Parsing. Comput. Linguistics 40(2): 249-527 (2014) - [j20]Joakim Nivre, Daniel Fernández-González:
Arc-Eager Parsing with the Tree Constraint. Comput. Linguistics 40(2): 259-267 (2014) - [j19]Harry Bunt, Andreas Maletti, Joakim Nivre:
Grammars, Parsers and Recognizers. J. Log. Comput. 24(2): 309 (2014) - [c97]Kepa Bengoetxea, Eneko Agirre, Joakim Nivre, Yue Zhang, Koldo Gojenola:
On WordNet Semantic Classes and Dependency Parsing. ACL (2) 2014: 649-655 - [c96]Jörg Tiedemann, Zeljko Agic, Joakim Nivre:
Treebank Translation for Cross-Lingual Parser Induction. CoNLL 2014: 130-140 - [c95]Joakim Nivre:
Adventures in Multilingual Parsing. HyTra@EACL 2014: 67-68 - [c94]Eva Pettersson, Beáta Megyesi, Joakim Nivre:
A Multilingual Evaluation of Three Spelling Normalisation Methods for Historical Text. LaTeCH@EACL 2014: 32-41 - [c93]Mojgan Seraji, Carina Jahani, Beáta Megyesi, Joakim Nivre:
A Persian Treebank with Stanford Typed Dependencies. LREC 2014: 796-801 - [c92]Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, Katri Haverinen, Filip Ginter, Joakim Nivre, Christopher D. Manning:
Universal Stanford dependencies: A cross-linguistic typology. LREC 2014: 4585-4592 - [c91]Marie Dubremetz, Joakim Nivre:
Extraction of Nominal Multiword Expressions in French. MWE@EACL 2014: 72-76 - [c90]Edvin Ullman, Joakim Nivre:
Paraphrasing Swedish Compound Nouns in Machine Translation. MWE@EACL 2014: 99-103 - [c89]Nina Schottmüller, Joakim Nivre:
Issues in Translating Verb-Particle Constructions from German to English. MWE@EACL 2014: 124-131 - [c88]Christian Hardmeier, Sara Stymne, Jörg Tiedemann, Aaron Smith, Joakim Nivre:
Anaphora Models and Reordering for Phrase-Based SMT. WMT@ACL 2014: 122-129 - [c87]Sara Stymne, Jörg Tiedemann, Joakim Nivre:
Estimating Word Alignment Quality for SMT Reordering Tasks. WMT@ACL 2014: 275-286 - 2013
- [j18]Miguel Ballesteros, Joakim Nivre:
Going to the Roots of Dependency Parsing. Comput. Linguistics 39(1): 5-13 (2013) - [j17]Reut Tsarfaty, Djamé Seddah, Sandra Kübler, Joakim Nivre:
Parsing Morphologically Rich Languages: Introduction to the Special Issue. Comput. Linguistics 39(1): 15-22 (2013) - [j16]