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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 3 4 5 6...10 Hits 21 – 40 of 191 21 Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Nigel; Korhonen, Anna. - : Underline Science Inc., 2021 BASE Show details 22 Improving Machine Translation of Rare and Unseen Word Senses ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Dario; Fraser, Alexander. - : Underline Science Inc., 2021 BASE Show details 23 LexFit: Lexical Fine-Tuning of Pretrained Language Models ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Glavaš, Goran; Korhonen, Anna. - : Underline Science Inc., 2021 BASE Show details 24 Verb Knowledge Injection for Multilingual Event Processing ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Glavaš, Goran; Korhonen, Anna. - : Underline Science Inc., 2021 BASE Show details 25 A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Hinrich; Korhonen, Anna. - : Underline Science Inc., 2021 BASE Show details 26 BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine. ... Majewska, Olga; Collins, Charlotte; Baker, Simon. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 27 BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine. ... Majewska, Olga; Collins, Charlotte; Baker, Simon. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 28 BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine ... Majewska, Olga; Collins, Charlotte; Baker, Simon. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 29 BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine. Majewska, Olga; Collins, Charlotte; Baker, Simon... In: nlmid: 101531992 ; essn: 2041-1480 (2021) BASE Show details 30 BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine. Majewska, Olga; Collins, Charlotte; Baker, Simon. - : Springer Science and Business Media LLC, 2021. : J Biomed Semantics, 2021 BASE Show details 31 BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine Majewska, Olga; Collins, Charlotte; Baker, Simon. - : BioMed Central, 2021. : Journal of Biomedical Semantics, 2021 BASE Show details 32 Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity Vulic, Ivan; Baker, Simon; Ponti, Edoardo Maria; Petti, Ulla; Leviant, Ira; Wing, Kelly; Majewska, Olga; Bar, Eden; Malone, Matt; Poibeau, Thierry; Reichart, Roi; Korhonen, Anna In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02975786 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2020, 46 (4), pp.847-897 ; https://direct.mit.edu/coli/article/46/4/847/97326/Multi-SimLex-A-Large-Scale-Evaluation-of (2020) Abstract: Données et informations liées à la publication : https://multisimlex.com/ ; International audience ; We introduce Multi-SimLex, a large-scale lexical resource and evaluation benchmark covering datasets for 12 typologically diverse languages, including major languages (e.g., Mandarin Chinese, Spanish, Russian) as well as less-resourced ones (e.g., Welsh, Kiswahili). Each language dataset is annotated for the lexical relation of semantic similarity and contains 1,888 semantically aligned concept pairs, providing a representative coverage of word classes (nouns, verbs, adjectives, adverbs), frequency ranks, similarity intervals, lexical fields, and concreteness levels. Additionally, owing to the alignment of concepts across languages, we provide a suite of 66 cross-lingual semantic similarity datasets. Due to its extensive size and language coverage, Multi-SimLex provides entirely novel opportunities for experimental evaluation and analysis. On its monolingual and cross-lingual benchmarks, we evaluate and analyze a wide array of recent state-of-the-art monolingual and cross-lingual representation models, including static and contextualized word embeddings (such as fastText, M-BERT and XLM), externally informed lexical representations, as well as fully unsupervised and (weakly) supervised cross-lingual word embeddings. We also present a step-by-step dataset creation protocol for creating consistent, Multi-Simlex-style resources for additional languages. We make these contributions -- the public release of Multi-SimLex datasets, their creation protocol, strong baseline results, and in-depth analyses which can be be helpful in guiding future developments in multilingual lexical semantics and representation learning -- available via a website which will encourage community effort in further expansion of Multi-Simlex to many more languages. Such a large-scale semantic resource could inspire significant further advances in NLP across languages. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; [SHS.INFO]Humanities and Social Sciences/Library and information sciences; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [SHS.STAT]Humanities and Social Sciences/Methods and statistics; Lexicon; Linguistic Resource; Multilinguality; Semantics; Typology URL: https://hal.archives-ouvertes.fr/hal-02975786/file/coli_a_00391.pdf https://hal.archives-ouvertes.fr/hal-02975786 https://hal.archives-ouvertes.fr/hal-02975786/document BASE Hide details 33 Towards zero-shot language modeling ... Ponti, Edoardo; Vulić, I; Cotterell, R. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 34 Multidirectional Associative Optimization of Function-Specific Word Representations ... Gerz, Daniela; Vulic, Ivan; Rei, Marek. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 35 XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning ... Ponti, Edoardo Maria; Glavaš, Goran; Majewska, Olga. - : arXiv, 2020 BASE Show details 36 Emergent Communication Pretraining for Few-Shot Machine Translation ... Li, Yaoyiran; Ponti, Edoardo M.; Vulić, Ivan. - : arXiv, 2020 BASE Show details 37 Manual Clustering and Spatial Arrangement of Verbs for Multilingual Evaluation and Typology Analysis ... Majewska, Olga; Vulic, Ivan; McCarthy, Diana. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 38 Emergent Communication Pretraining for Few-Shot Machine Translation ... Li, Yaoyiran; Ponti, Edoardo; Vulic, Ivan. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 39 XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning ... Ponti, Edoardo; Glavaš, Goran; Majewska, Olga. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 40 Emergent Communication Pretraining for Few-Shot Machine Translation ... The 28th International Conference on Computational Linguistics 2020; Korhonen, Anna; Li, Yaoyiran. - : Underline Science Inc., 2020 BASE Show details Page: 1 2 3 4 5 6...10

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