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1
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval ...
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Geographic Adaptation of Pretrained Language Models ...
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3
On cross-lingual retrieval with multilingual text encoders
Litschko, Robert; Vulić, Ivan; Ponzetto, Simone Paolo. - : Springer Science + Business Media, 2022
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Data for paper: "Evaluating Resource-Lean Cross-Lingual Embedding Models in Unsupervised Retrieval" ...
Litschko, Robert; Glavaš, Goran. - : Mannheim University Library, 2021
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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
On Cross-Lingual Retrieval with Multilingual Text Encoders ...
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7
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval ...
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8
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models ...
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9
LexFit: Lexical Fine-Tuning of Pretrained Language Models ...
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10
Verb Knowledge Injection for Multilingual Event Processing ...
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11
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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12
Evaluating multilingual text encoders for unsupervised cross-lingual retrieval
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13
Training and domain adaptation for supervised text segmentation
Glavaš, Goran; Ganesh, Ananya; Somasundaran, Swapna. - : Association for Computational Linguistics, 2021
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14
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings ...
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15
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning ...
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16
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation ...
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17
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer ...
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18
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning ...
Ponti, Edoardo; Glavaš, Goran; Majewska, Olga. - : Apollo - University of Cambridge Repository, 2020
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19
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers ...
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20
Verb Knowledge Injection for Multilingual Event Processing ...
Abstract: In parallel to their overwhelming success across NLP tasks, language ability of deep Transformer networks, pretrained via language modeling (LM) objectives has undergone extensive scrutiny. While probing revealed that these models encode a range of syntactic and semantic properties of a language, they are still prone to fall back on superficial cues and simple heuristics to solve downstream tasks, rather than leverage deeper linguistic knowledge. In this paper, we target one such area of their deficiency, verbal reasoning. We investigate whether injecting explicit information on verbs' semantic-syntactic behaviour improves the performance of LM-pretrained Transformers in event extraction tasks -- downstream tasks for which accurate verb processing is paramount. Concretely, we impart the verb knowledge from curated lexical resources into dedicated adapter modules (dubbed verb adapters), allowing it to complement, in downstream tasks, the language knowledge obtained during LM-pretraining. We first demonstrate ... : 19 pages, 1 figure, 8 tables ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2012.15421
https://dx.doi.org/10.48550/arxiv.2012.15421
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