My interests are centered around syntax and parsing. I like to work on syntactic parsing because it allows exploring interesting linguistic phenomena while working on a system that is central to NLP and useful to many applications. I am particularly interested in work on syntax and parsing from a multilingual perspective. In general, I work at the intersection between linguistics and NLP/Machine Learning.
- Miryam de Lhoneux, Sara Stymne and Joakim Nivre. Under review. What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions? Submitted to the Computational Linguistics journal. [pdf|code|submission history]
- Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano and Joakim Nivre. 2019. Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing – A Tale of Two Parsers Revisited. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing. [pdf|bib]
- Miryam de Lhoneux, Miguel Ballesteros and Joakim Nivre. 2019. Recursive Subtree Composition in LSTM-Based Dependency Parsing. Proceedings of NAACL. [pdf|bib|code|slides|video|live-tweet 1,2,3,4]
- Miryam de Lhoneux, Johannes Bjerva, Isabelle Augenstein and Anders Søgaard. 2018. Parameter sharing between dependency parsers for related languages. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. [pdf|bib|poster|code]
- Aaron Smith, Miryam de Lhoneux, Sara Stymne and Joakim Nivre. 2018. An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. [pdf|bib]
- Anders Søgaard, Miryam de Lhoneux and Isabelle Augenstein. 2018. Nightmare at test time: How punctuation prevents parsers from generalizing. Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP. [pdf|bib]
- Aaron Smith, Bernd Bohnet, Miryam de Lhoneux, Joakim Nivre, Yan Shao and Sara Stymne. 2018. 82 Treebanks, 34 Models: Universal Dependency Parsing with Cross-Treebank Models. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. [pdf|bib]
- Sara Stymne, Miryam de Lhoneux, Aaron Smith and Joakim Nivre. 2018. Parser Training with Heterogeneous Treebanks. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Short Papers). [pdf|bib|poster]
- Miryam de Lhoneux, Sara Stymne and Joakim Nivre. 2017. Arc-Hybrid Non-Projective Dependency Parsing with a Static-Dynamic Oracle. In Proceedings of the 15th International Conference on Parsing Technologies, pages 99-104, Association for Computational Linguistics. [pdf|bib|code|slides]
- Miryam de Lhoneux, Yan Shao, Ali Basirat, Eliyahu Kiperwasser, Sara Stymne, Yoav Goldberg, and Joakim Nivre. 2017. 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. Association for Computational Linguistics. [pdf|bib|code|poster]
- 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.
- Miryam de Lhoneux and Joakim Nivre. Should Have, Would Have, Could Have. Investigating Verb Group Representations for Parsing with Universal Dependencies. 2016. In Proceedings of the Workshop on Multilingual and Crosslingual Methods in NLP, pages 10-19. [pdf|bib|code|poster]
(best poster award)
- Miryam de Lhoneux, Omri Abend and Mark Steedman. 2019. Investigating the Effect of Automatic MWE Recognition on CCG Parsing. In Yannick Parmentier & Jakub Waszczuk (eds.). Representation and Parsing of Multiword Expressions: Current trends, 183-215. Berlin: Language Science Press.
[book html page|chapter pdf]
- Miryam de Lhoneux. Linguistically Informed Neural Dependency Parsing for Typologically Diverse Languages. 2019. PhD thesis. Uppsala University. [official version|pdf with clickable cross-references|bib]
- Miryam de Lhoneux. CCG Parsing and Multiword Expressions. 2014. Master's thesis. The University of Edinburgh. [pdf|bib|code]
- Miryam de Lhoneux. Towards a Systematic Contrastive Constructional Approach to the Resultative Construction: An Exploratory Study on English and French. 2013. Master's thesis, Université catholique de Louvain.
Non-archival (peer-reviewed) stuff
- Ali Basirat, Miryam de Lhoneux, Artur Kulmizev, Murathan Kurfalı, Joakim Nivre and Robert Östling. 2019. Polyglot Parsing for One Thousand and One Languages (And Then Some). First workshop on Typology for Polyglot NLP. [pdf|poster]
- Miryam de Lhoneux. Parameter Sharing in Multilingual Dependency Parsing. 2018. Presented at the Seventh Swedish Language Technology Conference (SLTC). [slides]
- Joakim Nivre, Miryam de Lhoneux, Aaron Smith and Sara Stymne. Universal Dependency Parsing at Uppsala University. 2018. Presented at the Seventh Swedish Language Technology Conference (SLTC).
- Miryam de Lhoneux and Joakim Nivre. UD Treebank Sampling for Comparative Parser Evaluation. 2016. Presented at the Sixth Swedish Language Technology Conference (SLTC).
Note: There is a public abstract which is not archival. The material presented in the abstract was later published in our TLT 2017 paper (see reference above).
- Miryam de Lhoneux. CCG Parsing and Multiword Expressions. Poster presented at the 4th general PARSEME meeting. Valletta, Malta. 2015. [poster|abstract]
- Do we need recursive subtree composition in dependency parsing? Invited talk at the Workshop on Data-driven Approaches to Parsing and Semantic Composition, Tübingen 10 December 2019. [slides]
- Tree Transformations for Parsing: 2 Case Studies. Seminar given at Uppsala University, 7th June 2016. [slides]