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ORCIDMiryam de Lhoneux
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2020 – today
- 2024
[j2]Heather C. Lent, Kushal Tatariya, Raj Dabre, Yiyi Chen, Marcell Fekete, Esther Ploeger, Li Zhou, Ruth-Ann Armstrong, Abee Eijansantos, Catriona Malau, Hans Erik Heje, Ernests Lavrinovics, Diptesh Kanojia, Paul Belony, Marcel Bollmann, Loïc Grobol, Miryam de Lhoneux, Daniel Hershcovich, Michel DeGraff, Anders Søgaard, Johannes Bjerva:
CreoleVal: Multilingual Multitask Benchmarks for Creoles. Trans. Assoc. Comput. Linguistics 12: 950-978 (2024)- [c24]Kushal Tatariya, Heather C. Lent, Johannes Bjerva, Miryam de Lhoneux
:
Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification. SIGTYPE 2024: 66-74 - [c23]Wessel Poelman, Esther Ploeger, Miryam de Lhoneux, Johannes Bjerva:
A Call for Consistency in Reporting Typological Diversity. SIGTYPE 2024: 75-77 - [i25]Kushal Tatariya, Heather C. Lent, Johannes Bjerva, Miryam de Lhoneux:
Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification. CoRR abs/2402.03137 (2024) - [i24]Esther Ploeger, Wessel Poelman, Miryam de Lhoneux, Johannes Bjerva:
What is 'Typological Diversity' in NLP? CoRR abs/2402.04222 (2024) - [i23]Esther Ploeger, Wessel Poelman, Andreas Holck Høeg-Petersen, Anders Schlichtkrull, Miryam de Lhoneux, Johannes Bjerva:
A Principled Framework for Evaluating on Typologically Diverse Languages. CoRR abs/2407.05022 (2024) - [i22]François Remy, Pieter Delobelle, Hayastan Avetisyan, Alfiya Khabibullina, Miryam de Lhoneux, Thomas Demeester:
Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP. CoRR abs/2408.04303 (2024) - 2023
- [c22]Anders Søgaard, Daniel Hershcovich, Miryam de Lhoneux:
A Two-Sided Discussion of Preregistration of NLP Research. EACL 2023: 83-93 - [c21]Phillip Rust, Jonas F. Lotz, Emanuele Bugliarello, Elizabeth Salesky, Miryam de Lhoneux, Desmond Elliott:
Language Modelling with Pixels. ICLR 2023 - [c20]Kushal Tatariya, Heather C. Lent, Miryam de Lhoneux:
Transfer Learning for Code-Mixed Data: Do Pretraining Languages Matter? WASSA@ACL 2023: 365-378 - [i21]Anders Søgaard, Daniel Hershcovich, Miryam de Lhoneux:
A Two-Sided Discussion of Preregistration of NLP Research. CoRR abs/2302.10086 (2023) - [i20]Heather C. Lent, Kushal Tatariya, Raj Dabre, Yiyi Chen, Marcell Fekete, Esther Ploeger, Li Zhou, Hans Erik Heje, Diptesh Kanojia, Paul Belony, Marcel Bollmann, Loïc Grobol, Miryam de Lhoneux, Daniel Hershcovich, Michel DeGraff, Anders Søgaard, Johannes Bjerva:
CreoleVal: Multilingual Multitask Benchmarks for Creoles. CoRR abs/2310.19567 (2023) - 2022
- [c19]Miryam de Lhoneux, Sheng Zhang, Anders Søgaard:
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning. ACL (2) 2022: 578-587 - [c18]Victor Milewski, Miryam de Lhoneux, Marie-Francine Moens:
Finding Structural Knowledge in Multimodal-BERT. ACL (1) 2022: 5658-5671 - [c17]Daniel Hershcovich, Stella Frank, Heather C. Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, Anders Søgaard:
Challenges and Strategies in Cross-Cultural NLP. ACL (1) 2022: 6997-7013 - [c16]Heather C. Lent, Kelechi Ogueji, Miryam de Lhoneux, Orevaoghene Ahia, Anders Søgaard:
What a Creole Wants, What a Creole Needs. LREC 2022: 6439-6449 - [i19]Miryam de Lhoneux, Sheng Zhang, Anders Søgaard:
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning. CoRR abs/2203.08555 (2022) - [i18]Victor Milewski, Miryam de Lhoneux, Marie-Francine Moens:
Finding Structural Knowledge in Multimodal-BERT. CoRR abs/2203.09306 (2022) - [i17]Daniel Hershcovich, Stella Frank, Heather C. Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, Anders Søgaard:
Challenges and Strategies in Cross-Cultural NLP. CoRR abs/2203.10020 (2022) - [i16]Heather C. Lent, Kelechi Ogueji, Miryam de Lhoneux, Orevaoghene Ahia, Anders Søgaard:
What a Creole Wants, What a Creole Needs. CoRR abs/2206.00437 (2022) - [i15]Phillip Rust, Jonas F. Lotz, Emanuele Bugliarello, Elizabeth Salesky, Miryam de Lhoneux, Desmond Elliott:
Language Modelling with Pixels. CoRR abs/2207.06991 (2022) - 2021
- [c15]Rahul Aralikatte, Miryam de Lhoneux, Anoop Kunchukuttan, Anders Søgaard:
Itihasa: A large-scale corpus for Sanskrit to English translation. WAT@ACL/IJCNLP 2021: 191-197 - [c14]Heather C. Lent, Emanuele Bugliarello, Miryam de Lhoneux, Chen Qiu, Anders Søgaard:
On Language Models for Creoles. CoNLL 2021: 58-71 - [c13]Mareike Hartmann, Miryam de Lhoneux, Daniel Hershcovich, Yova Kementchedjhieva, Lukas Nielsen, Chen Qiu, Anders Søgaard:
A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs. CoNLL 2021: 244-257 - [i14]Rahul Aralikatte, Miryam de Lhoneux, Anoop Kunchukuttan, Anders Søgaard:
Itihasa: A large-scale corpus for Sanskrit to English translation. CoRR abs/2106.03269 (2021) - [i13]Heather C. Lent, Emanuele Bugliarello, Miryam de Lhoneux, Chen Qiu, Anders Søgaard:
On Language Models for Creoles. CoRR abs/2109.06074 (2021) - [i12]Rob van der Goot, Miryam de Lhoneux:
Parsing with Pretrained Language Models, Multiple Datasets, and Dataset Embeddings. CoRR abs/2112.03625 (2021) - 2020
- [j1]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) - [c12]Daniel Hershcovich, Nathan Schneider, Dotan Dvir, Jakob Prange, Miryam de Lhoneux, Omri Abend:
Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics. COLING 2020: 2947-2966 - [c11]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 - [i11]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) - [i10]Daniel Hershcovich, Nathan Schneider, Dotan Dvir, Jakob Prange, Miryam de Lhoneux, Omri Abend:
Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics. CoRR abs/2011.00834 (2020)
2010 – 2019
- 2019
- [c10]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 - [c9]Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre:
Recursive Subtree Composition in LSTM-Based Dependency Parsing. NAACL-HLT (1) 2019: 1566-1576 - [i9]Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre:
Recursive Subtree Composition in LSTM-Based Dependency Parsing. CoRR abs/1902.09781 (2019) - [i8]Miryam de Lhoneux, Sara Stymne, Joakim Nivre:
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions? CoRR abs/1907.07950 (2019) - [i7]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) - 2018
- [c8]Sara Stymne, Miryam de Lhoneux, Aaron Smith, Joakim Nivre:
Parser Training with Heterogeneous Treebanks. ACL (2) 2018: 619-625 - [c7]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 - [c6]Anders Søgaard, Miryam de Lhoneux, Isabelle Augenstein:
Nightmare at test time: How punctuation prevents parsers from generalizing. BlackboxNLP@EMNLP 2018: 25-29 - [c5]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 - [c4]Miryam de Lhoneux, Johannes Bjerva, Isabelle Augenstein, Anders Søgaard:
Parameter sharing between dependency parsers for related languages. EMNLP 2018: 4992-4997 - [i6]Sara Stymne, Miryam de Lhoneux, Aaron Smith, Joakim Nivre:
Parser Training with Heterogeneous Treebanks. CoRR abs/1805.05089 (2018) - [i5]Miryam de Lhoneux, Johannes Bjerva, Isabelle Augenstein, Anders Søgaard:
Parameter sharing between dependency parsers for related languages. CoRR abs/1808.09055 (2018) - [i4]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) - [i3]Anders Søgaard, Miryam de Lhoneux, Isabelle Augenstein:
Nightmare at test time: How punctuation prevents parsers from generalizing. CoRR abs/1809.00070 (2018) - [i2]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) - 2017
- [c3]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 - [c2]Miryam de Lhoneux, Sara Stymne, Joakim Nivre:
Arc-Hybrid Non-Projective Dependency Parsing with a Static-Dynamic Oracle. IWPT 2017: 99-104 - [c1]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 - 2015
- [i1]Miryam de Lhoneux:
CCG Parsing and Multiword Expressions. CoRR abs/1505.04420 (2015)
Coauthor Index
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last updated on 2024-11-05 22:02 CET by the dblp team
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