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1
Establishing a New State-of-the-Art for French Named Entity Recognition
In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02617950 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France ; http://www.lrec-conf.org (2020)
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2
OFrLex: A Computational Morphological and Syntactic Lexicon for Old French
In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02677957 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France. 3217-3225 (updated version) (2020)
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3
Controllable Sentence Simplification
In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02678214 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France ; http://www.lrec-conf.org/proceedings/lrec2020/index.html (2020)
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4
Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell
In: ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-02889804 ; ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, Canada. ⟨10.18653/v1/2020.acl-main.107⟩ (2020)
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5
CamemBERT: a Tasty French Language Model
In: ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-02889805 ; ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, United States. ⟨10.18653/v1/2020.acl-main.645⟩ (2020)
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6
A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages
In: ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-02863875 ; ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, United States. ⟨10.18653/v1/2020.acl-main.156⟩ ; https://acl2020.org (2020)
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7
Methodological Aspects of Developing and Managing an Etymological Lexical Resource: Introducing EtymDB 2.0
In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02678100 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France (2020)
Abstract: Due to COVID19 pandemic, the 12th edition is cancelled. The LREC 2020 Proceedings are available at http://www.lrec-conf.org/proceedings/lrec2020/index.html ; International audience ; Diachronic lexical information was mostly used in its natural field, historical linguistics, until recently, when promising but not yet conclusive applications to low resource languages machine translation started extending its usage to NLP. There is therefore a new need for fine-grained, large-coverage and accurate etymological lexical resources. In this paper, we propose a set of guidelines to generate such resources, for each step of the life-cycle of an etymological lexicon: creation, update, evaluation, dissemination, and exploitation. To illustrate the guidelines, we introduce EtymDB 2.0, an etymological database automatically generated from the Wiktionary, which contains 1.8 million lexemes, linked by more than 700,000 fine-grained etymological relations, across 2,536 living and dead languages. We also introduce use cases for which EtymDB 2.0 could represent a key resource, such as phylogenetic tree generation, low resource machine translation and medieval languages study.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; Etymological lexicon; Language Resource Life-cycle; Lexical Resource Development; Methodology
URL: https://hal.inria.fr/hal-02678100
https://hal.inria.fr/hal-02678100/document
https://hal.inria.fr/hal-02678100/file/Updating_and_correcting_an_etymological_database___LREC-4.pdf
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8
French Contextualized Word-Embeddings with a sip of CaBeRnet: a New French Balanced Reference Corpus
In: CMLC-8 - 8th Workshop on the Challenges in the Management of Large Corpora ; https://hal.inria.fr/hal-02678358 ; CMLC-8 - 8th Workshop on the Challenges in the Management of Large Corpora, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/CMLC-8book.pdf (2020)
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9
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
In: ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-02889823 ; ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, United States (2020)
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10
Evaluating the reliability of acoustic speech embeddings
In: INTERSPEECH 2020 - Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-02977539 ; INTERSPEECH 2020 - Annual Conference of the International Speech Communication Association, Oct 2020, Shanghai / Vitrtual, China (2020)
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11
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models
In: https://hal.inria.fr/hal-03109106 ; 2020 (2020)
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12
Comparing Statistical and Neural Models for Learning Sound Correspondences
In: LT4HALA 2020 : First Workshop on Language Technologies for Historical and Ancient Languages ; https://hal.inria.fr/hal-02529929 ; LT4HALA 2020 : First Workshop on Language Technologies for Historical and Ancient Languages, May 2020, Marseille, France (2020)
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13
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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14
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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15
Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi ...
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16
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering ...
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17
A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages ...
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18
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models ...
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19
MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases ...
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ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations ...
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