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1
Delving Deeper into Cross-lingual Visual Question Answering ...
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2
Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation ...
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3
Improving Word Translation via Two-Stage Contrastive Learning ...
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4
Towards Zero-shot Language Modeling ...
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5
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems ...
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6
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
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 general-domain bitext helps propagate the available English knowledge ... : ACL-IJCNLP 2021 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.2105.14398
https://arxiv.org/abs/2105.14398
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7
Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification ...
Zhu, Yi; Shareghi, Ehsan; Li, Yingzhen. - : arXiv, 2021
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8
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
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9
Context vs Target Word: Quantifying Biases in Lexical Semantic Datasets ...
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10
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
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11
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
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12
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning ...
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13
Emergent Communication Pretraining for Few-Shot Machine Translation ...
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14
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ...
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15
Verb Knowledge Injection for Multilingual Event Processing ...
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16
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity ...
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17
Probing Pretrained Language Models for Lexical Semantics ...
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18
The Secret is in the Spectra: Predicting Cross-lingual Task Performance with Spectral Similarity Measures ...
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19
Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity ...
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20
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? ...
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