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Glavaš, Goran (10)
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The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021 (3)
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Hits 1 – 10 of 10
1
Data for paper: "Evaluating Resource-Lean Cross-Lingual Embedding Models in Unsupervised Retrieval" ...
Litschko, Robert
;
Glavaš, Goran
. - : Mannheim University Library, 2021
BASE
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2
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems ...
Razumovskaia, Evgeniia
;
Glavaš, Goran
;
Majewska, Olga
. - : arXiv, 2021
BASE
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3
On Cross-Lingual Retrieval with Multilingual Text Encoders ...
Litschko, Robert
;
Vulić, Ivan
;
Ponzetto, Simone Paolo
;
Glavaš, Goran
. - : arXiv, 2021
Abstract:
In this work we present a systematic empirical study focused on the suitability of the state-of-the-art multilingual encoders for cross-lingual document and sentence retrieval tasks across a number of diverse language pairs. We first treat these models as multilingual text encoders and benchmark their performance in unsupervised ad-hoc sentence- and document-level CLIR. In contrast to supervised language understanding, our results indicate that for unsupervised document-level CLIR -- a setup with no relevance judgments for IR-specific fine-tuning -- pretrained multilingual encoders on average fail to significantly outperform earlier models based on CLWEs. For sentence-level retrieval, we do obtain state-of-the-art performance: the peak scores, however, are met by multilingual encoders that have been further specialized, in a supervised fashion, for sentence understanding tasks, rather than using their vanilla 'off-the-shelf' variants. Following these results, we introduce localized relevance matching for ... : to appear in IRJ ECIR 2021 Special Issue. arXiv admin note: substantial text overlap with arXiv:2101.08370 ...
Keyword:
Computation and Language cs.CL
;
FOS Computer and information sciences
;
H.3.3; I.2.7
;
Information Retrieval cs.IR
URL:
https://dx.doi.org/10.48550/arxiv.2112.11031
https://arxiv.org/abs/2112.11031
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4
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval ...
Litschko, Robert
;
Vulić, Ivan
;
Ponzetto, Simone Paolo
. - : arXiv, 2021
BASE
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5
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Barikeri, Soumya
;
Glavaš, Goran
. - : Underline Science Inc., 2021
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6
LexFit: Lexical Fine-Tuning of Pretrained Language Models ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Glavaš, Goran
;
Korhonen, Anna
. - : Underline Science Inc., 2021
BASE
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7
Verb Knowledge Injection for Multilingual Event Processing ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Glavaš, Goran
;
Korhonen, Anna
. - : Underline Science Inc., 2021
BASE
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8
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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9
Evaluating multilingual text encoders for unsupervised cross-lingual retrieval
Litschko, Robert
;
Vulić, Ivan
;
Ponzetto, Simone Paolo
. - : Springer, 2021
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10
Training and domain adaptation for supervised text segmentation
Glavaš, Goran
;
Ganesh, Ananya
;
Somasundaran, Swapna
. - : Association for Computational Linguistics, 2021
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