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1
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models ...
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2
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models ...
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3
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-short.72 Abstract: Injecting external domain-specific knowledge (e.g., UMLS) into pretrained language models (LMs) advances their capability to handle specialised in-domain tasks such as biomedical entity linking (BEL). However, such abundant expert knowledge is available only for a handful of languages (e.g., English). In this work, by proposing a novel cross-lingual biomedical entity linking task (XL-BEL) and establishing a new XL-BEL benchmark spanning 10 typologically diverse languages, we first investigate the ability of standard knowledge-agnostic as well as knowledge-enhanced monolingual and multilingual LMs beyond the standard monolingual English BEL task. The scores indicate large gaps to English performance. We then address the challenge of transferring domain-specific knowledge in resource-rich languages to resource-poor ones. To this end, we propose and evaluate a series of cross-lingual transfer methods for the XL-BEL task, and demonstrate that ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://underline.io/lecture/25632-learning-domain-specialised-representations-for-cross-lingual-biomedical-entity-linking
https://dx.doi.org/10.48448/v8cn-0854
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4
LexFit: Lexical Fine-Tuning of Pretrained Language Models ...
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5
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ...
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6
SemEval-2020 Task 3: Graded Word Similarity in Context ...
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7
Emergent Communication Pretraining for Few-Shot Machine Translation ...
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8
Manual Clustering and Spatial Arrangement of Verbs for Multilingual Evaluation and Typology Analysis ...
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9
SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment ...
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10
Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity ...
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