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1
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval ...
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2
On cross-lingual retrieval with multilingual text encoders
Litschko, Robert; Vulić, Ivan; Ponzetto, Simone Paolo. - : Springer Science + Business Media, 2022
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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
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models ...
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7
LexFit: Lexical Fine-Tuning of Pretrained Language Models ...
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8
Verb Knowledge Injection for Multilingual Event Processing ...
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9
Is supervised syntactic parsing beneficial for language understanding tasks? An empirical investigation
Glavaš, Goran; Vulić, Ivan. - : Association for Computational Linguistics, 2021
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10
Evaluating multilingual text encoders for unsupervised cross-lingual retrieval
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11
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning ...
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12
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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13
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers ...
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14
Verb Knowledge Injection for Multilingual Event Processing ...
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15
Probing Pretrained Language Models for Lexical Semantics ...
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16
SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment ...
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17
Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity ...
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18
Specializing unsupervised pretraining models for word-level semantic similarity
Ponti, Edoardo Maria; Korhonen, Anna; Vulić, Ivan. - : Association for Computational Linguistics, ACL, 2020
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19
Non-linear instance-based cross-lingual mapping for non-isomorphic embedding spaces
Glavaš, Goran; Vulić, Ivan. - : Association for Computational Linguistics, 2020
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20
Classification-based self-learning for weakly supervised bilingual lexicon induction
Vulić, Ivan; Korhonen, Anna; Glavaš, Goran. - : Association for Computational Linguistics, 2020
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