• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher:
    
    • de Lhoneux, Miryam (31)
    • Abend, Omri (19)
    • Angelov, Krasimir (17)
    • Bouamor, Dhouha (17)
    • Constant, Mathieu (17)
    • Dyvik, Helge (17)
    • Ehrmann, Maud (17)
    • Eryiğit, Gülşen (17)
    • Foufi, Vasiliki (17)
    • Greshler, Tali Arad (17)
    •   more
  • 
    Year
  • 
    Medium
  • 
    Type:
    
    • Book (18)
    • Miscellaneous (10)
    • Article (4)
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 32 1 Challenges and Strategies in Cross-Cultural NLP ... Hershcovich, Daniel; Frank, Stella; Lent, Heather. - : arXiv, 2022 BASE Show details 2 Finding Structural Knowledge in Multimodal-BERT ... Milewski, Victor; de Lhoneux, Miryam; Moens, Marie-Francine. - : arXiv, 2022 BASE Show details 3 Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning ... de Lhoneux, Miryam; Zhang, Sheng; Søgaard, Anders. - : arXiv, 2022 BASE Show details 4 Parsing with Pretrained Language Models, Multiple Datasets, and Dataset Embeddings ... van der Goot, Rob; de Lhoneux, Miryam. - : arXiv, 2021 Abstract: With an increase of dataset availability, the potential for learning from a variety of data sources has increased. One particular method to improve learning from multiple data sources is to embed the data source during training. This allows the model to learn generalizable features as well as distinguishing features between datasets. However, these dataset embeddings have mostly been used before contextualized transformer-based embeddings were introduced in the field of Natural Language Processing. In this work, we compare two methods to embed datasets in a transformer-based multilingual dependency parser, and perform an extensive evaluation. We show that: 1) embedding the dataset is still beneficial with these models 2) performance increases are highest when embedding the dataset at the encoder level 3) unsurprisingly, we confirm that performance increases are highest for small datasets and datasets with a low baseline score. 4) we show that training on the combination of all datasets performs similarly to ... : Accepted to TLT at SyntaxFest 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2112.03625 https://dx.doi.org/10.48550/arxiv.2112.03625 BASE Hide details 5 A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; de Lhoneux, Miryam; Hartmann, Mareike. - : Underline Science Inc., 2021 BASE Show details 6 On Language Models for Creoles ... Lent, Heather; Bugliarello, Emanuele; de Lhoneux, Miryam. - : arXiv, 2021 BASE Show details 7 What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions? ... NAACL 2021 2021; de Lhoneux, Miryam; Nivre, Joakim. - : Underline Science Inc., 2021 BASE Show details 8 I’ve got a construction looks funny – representing and recovering non-standard constructions in UD Ruppenhofer, Josef [Verfasser]; Rehbein, Ines [Verfasser]; de Marneffe, Marie-Catherine [Herausgeber]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020 DNB Subject Category Language Show details 9 Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding ... Hershcovich, Daniel; de Lhoneux, Miryam; Kulmizev, Artur. - : arXiv, 2020 BASE Show details 10 Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics ... Hershcovich, Daniel; Schneider, Nathan; Dvir, Dotan. - : arXiv, 2020 BASE Show details 11 Representation and parsing of multiword expressions: Current trends Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 12 Representation and parsing of multiword expressions: Current trends Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 13 Representation and parsing of multiword expressions: Current trends Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 14 Representation and parsing of multiword expressions: Current trends Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 15 Representation and parsing of multiword expressions: Current trends Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 16 Representation and parsing of multiword expressions: Current trends Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 17 Representation and parsing of multiword expressions: Current trends Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 18 Representation and parsing of multiword expressions: Current trends Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 19 Representation and parsing of multiword expressions: Current trends Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 20 Representation and parsing of multiword expressions: Current trends Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details Page: 1 2

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 1 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 31 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0