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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 (5)
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Simple Search
Hits 1 – 9 of 9
1
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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2
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual 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
;
., Iryna
;
., Sebastian
. - : Underline Science Inc., 2021
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3
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
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
;
., Nigel
;
Korhonen, Anna
. - : Underline Science Inc., 2021
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4
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
;
Maria Ponti, Edoardo
;
Vulić, Ivan
. - : Underline Science Inc., 2021
Abstract:
Read paper: https://www.aclanthology.org/2021.acl-long.410 Abstract: Transformer-based language models (LMs) pretrained on large text collections implicitly store a wealth of lexical semantic knowledge, but it is non-trivial to extract that knowledge effectively from their parameters. Inspired by prior work on semantic specialization of static word embedding (WE) models, we show that it is possible to expose and enrich lexical knowledge from the LMs, that is, to specialize them to serve as effective and universal "decontextualized" word encoders even when fed input words "in isolation" (i.e., without any context). Their transformation into such word encoders is achieved through a simple and efficient lexical fine-tuning procedure (termed LexFit) based on dual-encoder network structures. Further, we show that LexFit can yield effective word encoders even with limited lexical supervision and, via cross-lingual transfer, in different languages without any readily available external knowledge. Our evaluation ...
Keyword:
Computational Linguistics
;
Condensed Matter Physics
;
Deep Learning
;
Electromagnetism
;
FOS Physical sciences
;
Information and Knowledge Engineering
;
Neural Network
;
Semantics
URL:
https://dx.doi.org/10.48448/2skf-gv34
https://underline.io/lecture/25829-lexfit-lexical-fine-tuning-of-pretrained-language-models
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5
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ...
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
;
., Hinrich
;
Korhonen, Anna
. - : Underline Science Inc., 2021
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6
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity
Vulic, Ivan
;
Baker, Simon
;
Ponti, Edoardo Maria
...
In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02975786 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2020, 46 (4), pp.847-897 ; https://direct.mit.edu/coli/article/46/4/847/97326/Multi-SimLex-A-Large-Scale-Evaluation-of (2020)
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7
A deep learning approach to bilingual lexicon induction in the biomedical domain. ...
Heyman, Geert
;
Vulić, Ivan
;
Moens, Marie-Francine
. - : Apollo - University of Cambridge Repository, 2018
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8
A deep learning approach to bilingual lexicon induction in the biomedical domain.
Heyman, Geert
;
Vulić, Ivan
;
Moens, Marie-Francine
. - : Springer Science and Business Media LLC, 2018. : BMC Bioinformatics, 2018
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9
Bio-SimVerb and Bio-SimLex: wide-coverage evaluation sets of word similarity in biomedicine.
Chiu, Billy
;
Pyysalo, Sampo
;
Vulić, Ivan
. - : BioMed Central, 2018. : BMC bioinformatics, 2018
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