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Is "my favorite new movie" my favorite movie? Probing the Understanding of Recursive Noun Phrases ...
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Scalar Adjective Identification and Multilingual Ranking ...
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Scalar Adjective Identification and Multilingual Ranking ...
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Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into Senses ...
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Let's Play mono-poly: BERT Can Reveal Words' Degree of Polysemy ...
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ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns' Semantic Properties and their Prototypicality ...
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Abstract:
Large scale language models encode rich commonsense knowledge acquired through exposure to massive data during pre-training, but their understanding of entities and their semantic properties is unclear. We probe BERT (Devlin et al., 2019) for the properties of English nouns as expressed by adjectives that do not restrict the reference scope of the noun they modify (as in "red car"), but instead emphasise some inherent aspect ("red strawberry"). We base our study on psycholinguistics datasets that capture the association strength between nouns and their semantic features. We probe BERT using cloze tasks and in a classification setting, and show that the model has marginal knowledge of these features and their prevalence as expressed in these datasets. We discuss factors that make evaluation challenging and impede drawing general conclusions about the models' knowledge of noun properties. Finally, we show that when tested in a fine-tuning setting addressing entailment, BERT successfully leverages the ... : Accepted to BlackboxNLP 2021 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2110.06376 https://arxiv.org/abs/2110.06376
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BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised Representations ...
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MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning ...
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Common sense or world knowledge? Investigating adapter-based knowledge injection into pretrained transformers
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Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification ...
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Word Usage Similarity Estimation with Sentence Representations and Automatic Substitutes ...
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Simplification Using Paraphrases and Context-Based Lexical Substitution
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In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01838519 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, Jun 2018, Nouvelle Orléans, United States (2018)
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Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation
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In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01838521 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics Jun 2018, Nouvelle Orléans, United States (2018)
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Comparing Constraints for Taxonomic Organization
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In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01838520 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics Jun 2018, Nouvelle Orléans, United States (2018)
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UniMa at SemEval-2018 Task 7 : semantic relation extraction and classification from scientific publications
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Mapping the Paraphrase Database to WordNet
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In: Conference on Lexical and Computational Semantics ; https://hal.archives-ouvertes.fr/hal-01838527 ; Conference on Lexical and Computational Semantics, Aug 2017, Vancouver, Canada (2017)
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Learning Antonyms with Paraphrases and a Morphology-aware Neural Network
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In: Conference on Lexical and Computational Semantics ; https://hal.archives-ouvertes.fr/hal-01838526 ; Conference on Lexical and Computational Semantics, Aug 2017, Vancouver, Canada (2017)
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Word Sense Filtering Improves Embedding-Based Lexical Substitution
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In: Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01838524 ; Conference of the European Chapter of the Association for Computational Linguistics , Apr 2017, Valencia, Spain (2017)
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