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Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization ...
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Graph Algorithms for Multiparallel Word Alignment
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In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ; The 2021 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03424044 ; The 2021 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Nov 2021, Punta Cana, Dominica ; https://2021.emnlp.org/ (2021)
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Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ...
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Measuring and Improving Consistency in Pretrained Language Models ...
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ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus ...
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Continuous Entailment Patterns for Lexical Inference in Context ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.556/ Abstract: Combining a pretrained language model (PLM) with textual patterns has been shown to help in both zero- and few-shot settings. For zero-shot performance, it makes sense to design patterns that closely resemble the text seen during self-supervised pretraining because the model has never seen anything else. Supervised training allows for more flexibility. If we allow for tokens outside the PLM's vocabulary, patterns can be adapted more flexibly to a PLM's idiosyncrasies. Contrasting patterns where a "token" can be any continuous vector vs. those where a discrete choice between vocabulary elements has to be made, we call our method CONtinuous pAtterNs (CONAN). We evaluate CONAN on two established benchmarks for lexical inference in context (LIiC) a.k.a. predicate entailment, a challenging natural language understanding task with relatively small training sets. In a direct comparison with discrete patterns, CONAN consistently leads to ...
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Keyword:
Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
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URL: https://dx.doi.org/10.48448/yxps-pp51 https://underline.io/lecture/37504-continuous-entailment-patterns-for-lexical-inference-in-context
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A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ...
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Measuring and Improving Consistency in Pretrained Language Models
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1012-1031 (2021) (2021)
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Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1408-1424 (2021) (2021)
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SimAlign: High Quality Word Alignments Without Parallel Training Data Using Static and Contextualized Embeddings
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In: EMNLP 2020 ; https://hal.archives-ouvertes.fr/hal-03013194 ; EMNLP 2020, Association for Computational Linguistics, Nov 2020, Online, United States. pp.1627 - 1643 (2020)
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Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction ...
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Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly
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BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance
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Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction
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Predicting the Growth of Morphological Families from Social and Linguistic Factors
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