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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
Multilingual and Cross-Lingual Intent Detection from Spoken Data ...
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6
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems ...
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7
Modelling Latent Translations for Cross-Lingual Transfer ...
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8
Prix-LM: Pretraining for Multilingual Knowledge Base Construction ...
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9
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
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10
xGQA: Cross-Lingual Visual Question Answering ...
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11
On Cross-Lingual Retrieval with Multilingual Text Encoders ...
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12
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
Abstract: Recent work indicated that pretrained language models (PLMs) such as BERT and RoBERTa can be transformed into effective sentence and word encoders even via simple self-supervised techniques. Inspired by this line of work, in this paper we propose a fully unsupervised approach to improving word-in-context (WiC) representations in PLMs, achieved via a simple and efficient WiC-targeted fine-tuning procedure: MirrorWiC. The proposed method leverages only raw texts sampled from Wikipedia, assuming no sense-annotated data, and learns context-aware word representations within a standard contrastive learning setup. We experiment with a series of standard and comprehensive WiC benchmarks across multiple languages. Our proposed fully unsupervised MirrorWiC models obtain substantial gains over off-the-shelf PLMs across all monolingual, multilingual and cross-lingual setups. Moreover, on some standard WiC benchmarks, MirrorWiC is even on-par with supervised models fine-tuned with in-task data and sense labels. ... : CoNLL 2021 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2109.09237
https://arxiv.org/abs/2109.09237
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13
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval ...
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14
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
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15
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
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16
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning ...
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17
Emergent Communication Pretraining for Few-Shot Machine Translation ...
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18
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer ...
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19
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer ...
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20
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models ...
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