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1
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval ...
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2
Geographic Adaptation of Pretrained Language Models ...
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3
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems ...
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4
On Cross-Lingual Retrieval with Multilingual Text Encoders ...
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5
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval ...
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6
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings ...
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7
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning ...
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8
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation ...
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9
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer ...
Abstract: Adapter modules, additional trainable parameters that enable efficient fine-tuning of pretrained transformers, have recently been used for language specialization of multilingual transformers, improving downstream zero-shot cross-lingual transfer. In this work, we propose orthogonal language and task adapters (dubbed orthoadapters) for cross-lingual transfer. They are trained to encode language- and task-specific information that is complementary (i.e., orthogonal) to the knowledge already stored in the pretrained transformer's parameters. Our zero-shot cross-lingual transfer experiments, involving three tasks (POS-tagging, NER, NLI) and a set of 10 diverse languages, 1) point to the usefulness of orthoadapters in cross-lingual transfer, especially for the most complex NLI task, but also 2) indicate that the optimal adapter configuration highly depends on the task and the target language. We hope that our work will motivate a wider investigation of usefulness of orthogonality constraints in language- and ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2012.06460
https://arxiv.org/abs/2012.06460
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10
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers ...
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11
Verb Knowledge Injection for Multilingual Event Processing ...
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12
Probing Pretrained Language Models for Lexical Semantics ...
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13
Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity ...
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14
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? ...
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15
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions ...
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16
Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only ...
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17
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization ...
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18
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources ...
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19
A Resource-Light Method for Cross-Lingual Semantic Textual Similarity ...
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