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Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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Visually Grounded Reasoning across Languages and Cultures ...
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Visually Grounded Reasoning across Languages and Cultures ...
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LexFit: Lexical Fine-Tuning of Pretrained Language Models ...
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Verb Knowledge Injection for Multilingual Event Processing ...
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Abstract:
Read paper: https://www.aclanthology.org/2021.acl-long.541 Abstract: Linguistic probing of pretrained Transformer-based language models (LMs) revealed that they encode a range of syntactic and semantic properties of a language. However, they are still prone to fall back on superficial cues and simple heuristics to solve downstream tasks, rather than leverage deeper linguistic information. In this paper, we target a specific facet of linguistic knowledge, the interplay between verb meaning and argument structure. We investigate whether injecting explicit information on verbs’ semantic-syntactic behaviour improves the performance of pretrained LMs in event extraction tasks, where accurate verb processing is paramount. Concretely, we impart the verb knowledge from curated lexical resources into dedicated adapter modules (verb adapters), allowing it to complement, in downstream tasks, the language knowledge obtained during LM-pretraining. We first demonstrate that injecting verb knowledge leads to performance ...
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URL: https://underline.io/lecture/25772-verb-knowledge-injection-for-multilingual-event-processing https://dx.doi.org/10.48448/cje1-ae20
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Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity ...
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