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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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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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Abstract:
International audience ; We propose a variant of a well-known machine translation (MT) evaluation metric, HyTER (Dreyer and Marcu, 2012), which exploits reference translations enriched with meaning equivalent expressions. The original HyTER metric relied on hand-crafted paraphrase networks which restricted its applicability to new data. We test, for the first time, HyTER with automatically built paraphrase lattices. We show that although the metric obtains good results on small and carefully curated data with both manually and automatically selected substitutes, it achieves medium performance on much larger and noisier datasets, demonstrating the limits of the metric for tuning and evaluation of current MT systems.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; HyTER; lattice; MT evaluation; paraphrase
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URL: https://hal.archives-ouvertes.fr/hal-01838521
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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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