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Hits 101 – 120 of 186

101
Probing pretrained language models for lexical semantics
Vulić, Ivan; Korhonen, Anna; Litschko, Robert. - : Association for Computational Linguistics, 2020
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102
Common sense or world knowledge? Investigating adapter-based knowledge injection into pretrained transformers
Lauscher, Anne; Majewska, Olga; Ribeiro, Leonardo F. R.. - : Association for Computational Linguistics, 2020
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103
XHate-999: analyzing and detecting abusive language across domains and languages
Glavaš, Goran; Karan, Mladen; Vulić, Ivan. - : Association for Computational Linguistics, 2020
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104
XCOPA: A multilingual dataset for causal commonsense reasoning
Ponti, Edoardo Maria; Majewska, Olga; Liu, Qianchu. - : Association for Computational Linguistics, 2020
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105
Improving bilingual lexicon induction with unsupervised post-processing of monolingual word vector spaces
Glavaš, Goran; Korhonen, Anna; Vulić, Ivan. - : Association for Computational Linguistics, 2020
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106
From zero to hero: On the limitations of zero-shot language transfer with multilingual transformers
Ravishankar, Vinit; Glavaš, Goran; Lauscher, Anne. - : Association for Computational Linguistics, 2020
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107
SemEval-2020 Task 2: Predicting multilingual and cross-lingual (graded) lexical entailment
Glavaš, Goran; Vulić, Ivan; Korhonen, Anna. - : Association for Computational Linguistics, 2020
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108
Towards instance-level parser selection for cross-lingual transfer of dependency parsers
Litschko, Robert; Vulić, Ivan; Agić, Želiko. - : Association for Computational Linguistics, 2020
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109
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02425462 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2019, 45 (3), pp.559-601. ⟨10.1162/coli_a_00357⟩ ; https://www.mitpressjournals.org/doi/abs/10.1162/coli_a_00357 (2019)
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110
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing ...
Ponti, Edoardo; O'Horan, Helen; Berzak, Yevgeni. - : Apollo - University of Cambridge Repository, 2019
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111
Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines ...
Shareghi, Ehsan; Gerz, Daniela; Vulic, Ivan. - : Apollo - University of Cambridge Repository, 2019
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112
Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity ...
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113
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? ...
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114
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions ...
Abstract: Cross-lingual word embeddings (CLEs) enable multilingual modeling of meaning and facilitate cross-lingual transfer of NLP models. Despite their ubiquitous usage in downstream tasks, recent increasingly popular projection-based CLE models are almost exclusively evaluated on a single task only: bilingual lexicon induction (BLI). Even BLI evaluations vary greatly, hindering our ability to correctly interpret performance and properties of different CLE models. In this work, we make the first step towards a comprehensive evaluation of cross-lingual word embeddings. We thoroughly evaluate both supervised and unsupervised CLE models on a large number of language pairs in the BLI task and three downstream tasks, providing new insights concerning the ability of cutting-edge CLE models to support cross-lingual NLP. We empirically demonstrate that the performance of CLE models largely depends on the task at hand and that optimizing CLE models for BLI can result in deteriorated downstream performance. We indicate the ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1902.00508
https://dx.doi.org/10.48550/arxiv.1902.00508
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115
Specialising Distributional Vectors of All Words for Lexical Entailment ...
Kamath, Aishwarya; Pfeiffer, Jonas; Ponti, Edoardo. - : Apollo - University of Cambridge Repository, 2019
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116
Multilingual and cross-lingual graded lexical entailment ...
Vulic, Ivan; Ponzetto, SP; Glavaš, G. - : Apollo - University of Cambridge Repository, 2019
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117
Generalized tuning of distributional word vectors for monolingual and cross-lingual lexical entailment ...
Glavaš, G; Vulic, Ivan. - : Apollo - University of Cambridge Repository, 2019
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118
Generalized tuning of distributional word vectors for monolingual and cross-lingual lexical entailment
Glavaš, G; Vulic, Ivan. - : Association for Computational Linguistics, 2019. : ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, 2019
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119
Multilingual and cross-lingual graded lexical entailment
Vulic, Ivan; Ponzetto, SP; Glavaš, G. - : Association for Computational Linguistics, 2019. : ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, 2019
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120
How to (properly) evaluate cross-lingual word embeddings: On strong baselines, comparative analyses, and some misconceptions
Glavaš, G; Litschko, R; Ruder, S. - : Association for Computational Linguistics, 2019. : ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, 2019
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