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Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi ...
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Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering ...
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A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages ...
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When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models ...
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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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Abstract:
In order to simplify a sentence, human editors perform multiple rewriting transformations: they split it into several shorter sentences, paraphrase words (i.e. replacing complex words or phrases by simpler synonyms), reorder components, and/or delete information deemed unnecessary. Despite these varied range of possible text alterations, current models for automatic sentence simplification are evaluated using datasets that are focused on a single transformation, such as lexical paraphrasing or splitting. This makes it impossible to understand the ability of simplification models in more realistic settings. To alleviate this limitation, this paper introduces ASSET, a new dataset for assessing sentence simplification in English. ASSET is a crowdsourced multi-reference corpus where each simplification was produced by executing several rewriting transformations. Through quantitative and qualitative experiments, we show that simplifications in ASSET are better at capturing characteristics of simplicity when ... : Accepted to ACL 2020 (camera-ready version) ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2005.00481
https://dx.doi.org/10.48550/arxiv.2005.00481
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ASSET: A dataset for tuning and evaluation of sentence simplification models with multiple rewriting transformations
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Controllable Sentence Simplification
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In: https://hal.inria.fr/hal-02445874 ; 2019 (2019)
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Asynchronous Pipeline for Processing Huge Corpora on Medium to Low Resource Infrastructures
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In: 7th Workshop on the Challenges in the Management of Large Corpora (CMLC-7) ; https://hal.inria.fr/hal-02148693 ; 7th Workshop on the Challenges in the Management of Large Corpora (CMLC-7), Jul 2019, Cardiff, United Kingdom. ⟨10.14618/IDS-PUB-9021⟩ (2019)
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Development of a morphological and syntactic lexicon of Old French ; Développement d'un lexique morphologique et syntaxique de l'ancien français
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In: 26ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN) ; https://hal.inria.fr/hal-02148701 ; 26ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN), Jul 2019, Toulouse, France (2019)
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CamemBERT: a Tasty French Language Model
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In: https://hal.inria.fr/hal-02445946 ; 2019 (2019)
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Enhancing BERT for Lexical Normalization
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In: The 5th Workshop on Noisy User-generated Text (W-NUT) ; https://hal.inria.fr/hal-02294316 ; The 5th Workshop on Noisy User-generated Text (W-NUT), Nov 2019, Hong Kong, China (2019)
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What does BERT learn about the structure of language?
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In: ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-02131630 ; ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Jul 2019, Florence, Italy (2019)
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Modeling German Verb Argument Structures: LSTMs vs. Humans
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In: https://hal.archives-ouvertes.fr/hal-02417640 ; 2019 (2019)
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Metathesis of Proto-Indo-European Sonorants
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In: ISSN: 0077-1910 ; Münchener Studien zur Sprachwissenschaft ; https://hal.inria.fr/hal-02681179 ; Münchener Studien zur Sprachwissenschaft, Verlag J.H. Röll GmbH, 2019, 73 (1), pp.29-53 (2019)
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Preparing the Dictionnaire Universel for Automatic Enrichment
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In: 10th International Conference on Historical Lexicography and Lexicology (ICHLL) ; https://hal.inria.fr/hal-02131598 ; 10th International Conference on Historical Lexicography and Lexicology (ICHLL), Jun 2019, Leeuwarden, Netherlands ; https://easychair.org/smart-program/ICHLL-10/ (2019)
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Morphological complexities
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In: 16th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology ; https://hal.inria.fr/hal-02266999 ; 16th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, Aug 2019, Florence, Italy (2019)
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