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1
Deep learning approaches to text production
Narayan, Shashi; Gardent, Claire. - [San Rafael, California] : Morgan & Claypool Publishers, 2020
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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2
Natural language processing with Spark NLP : learning to understand text at scale
Thomas, Alex. - Tokyo : O'Reilly, 2020
BLLDB
UB Frankfurt Linguistik
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3
Seq-to-NSeq model for multi-summary generation
In: ESANN 2020 ; https://hal.archives-ouvertes.fr/hal-02902734 ; ESANN 2020, Oct 2020, Bruges, Belgium (2020)
BASE
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4
Quality of syntactic implication of RL-based sentence summarization
In: AAAI Workshop on Engineering Dependable and Secure Machine Learning Systems 2020 ; https://hal.archives-ouvertes.fr/hal-02883327 ; AAAI Workshop on Engineering Dependable and Secure Machine Learning Systems 2020, Feb 2020, New York, United States (2020)
BASE
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5
Normalisation of 16th and 17th century texts in French and geographical named entity recognition
In: 4th ACM SIGSPATIAL International Workshop on Geospatial Humanities ; ACM SIGSPATIAL GeoHumanities'20 ; https://hal-upec-upem.archives-ouvertes.fr/hal-02955867 ; ACM SIGSPATIAL GeoHumanities'20, ACM, Nov 2020, Seattle (virtual), United States. pp.28-34, ⟨10.1145/3423337.3429437⟩ ; https://ludovicmoncla.github.io/sigspatial-geohumanities-2020/ (2020)
BASE
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6
Automatic processing of Historical Arabic Documents: a comprehensive survey
In: ISSN: 0031-3203 ; Pattern Recognition ; https://hal.archives-ouvertes.fr/hal-02481354 ; Pattern Recognition, Elsevier, 2020, 100, pp.107144-1:107144-17. ⟨10.1016/j.patcog.2019.107144⟩ (2020)
BASE
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7
A study of semantic projection from single word terms to multi-word terms in the environment domain
In: 6th International Workshop on Computational Terminology (COMPUTERM 2020) ; https://hal.archives-ouvertes.fr/hal-03478024 ; 6th International Workshop on Computational Terminology (COMPUTERM 2020), May 2020, Marseille, France. pp.ISBN 979-10-95546-57-3 (2020)
BASE
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8
An Evaluation Dataset for Identifying Communicative Functions of Sentences in English Scholarly Papers
In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; 12th Conference on Language Resources and Evaluation (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-03272825 ; 12th Conference on Language Resources and Evaluation (LREC 2020), May 2020, Marseille, France (2020)
BASE
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9
Improving Short Text Classification Through Global Augmentation Methods
In: Lecture Notes in Computer Science ; 4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE) ; https://hal.inria.fr/hal-03414750 ; 4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.385-399, ⟨10.1007/978-3-030-57321-8_21⟩ (2020)
BASE
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10
Overview of the Fourth BUCC Shared Task: Bilingual Dictionary Induction from Comparable Corpora
In: 13th Workshop on Building and Using Comparable Corpora (BUCC) ; https://hal.archives-ouvertes.fr/hal-03100822 ; 13th Workshop on Building and Using Comparable Corpora (BUCC), May 2020, Marseille, France. pp.6-13 (2020)
BASE
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11
From Linguistic Research Projects to Language Technology Platforms: A Case Study in Learner Data
In: LREC2020 ; https://hal.archives-ouvertes.fr/hal-02634745 ; LREC2020, European Language Resources Association (ELRA), May 2020, Marseille, France. pp.112-120 ; http://www.lrec-conf.org/proceedings/lrec2020/workshops/IWLTP2020/index.html (2020)
BASE
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12
Transformations syntaxiques pour une aide à l'apprentissage de la lecture : typologie, adéquation et corpus adaptés
In: ISSN: 2261-2424 ; SHS Web of Conferences ; https://hal.archives-ouvertes.fr/hal-02562205 ; SHS Web of Conferences, EDP Sciences, 2020, 7e Congrès Mondial de Linguistique Française 78, pp.14006. ⟨10.1051/shsconf/20207814006⟩ (2020)
Abstract: International audience ; Syntactic transformations to help learning to read : typology, adequacy and adapted corpora. In this paper, we present a typology of syntactic transformations targeted at adapting textual contents addressed to poor-readers and dyslexic children. To make this proposition, we have analyzed a set of parallel texts (original and adapted). We have also applied lexical, morpho-syntactic and discursive transformations to corpora usually read at primary school (second to fourth grades). The different versions have been read by different reader profiles at school. Based on both studies, we have defined a typology of syntactic transformations, with deleted, kept or added information, that could be used as guidelines to adapt texts and facilitate reading to children facing difficulties. ; Dans cet article, nous présentons une typologie de transformations syntaxiques permettant une adaptation des contenus textuels à destination d'enfants faibles lecteurs et dyslexiques. Pour arriver à cette proposition, nous avons analysé des textes parallèles originaux et adaptés. Nous avons aussi appliqué des transformations lexicales, morpho-syntaxiques et discursives à des corpus habituellement lus entre CE1 et CM1 que nous avons soumis à des enfants dans ces classes, tous profils confondus. Sur la base de ces deux études, nous avons défini une typologie de transformations syntaxiques, avec des informations supprimées, conservées ou ajoutées, qui pourra servir de guide pour adapter des textes et faciliter l'apprentissage de la lecture dans des cas d'enfants en difficulté
Keyword: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SHS.LANGUE]Humanities and Social Sciences/Linguistics
URL: https://hal.archives-ouvertes.fr/hal-02562205v2/file/Gala%20etal%20-%20shsconf_cmlf2020_14006.pdf
https://hal.archives-ouvertes.fr/hal-02562205v2/document
https://doi.org/10.1051/shsconf/20207814006
https://hal.archives-ouvertes.fr/hal-02562205
BASE
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13
Représentations lexicales pour la détection non supervisée d'événements dans un flux de tweets : étude sur des corpus français et anglais
In: Extraction et Gestion des connaissances, EGC 2020 ; https://hal-centralesupelec.archives-ouvertes.fr/hal-02432990 ; Extraction et Gestion des connaissances, EGC 2020, Jan 2020, Bruxelles, Belgique (2020)
BASE
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14
Patch-based Identification of Lexical Semantic Relations
In: 42nd European Conference on Information Retrieval (ECIR) ; https://hal.archives-ouvertes.fr/hal-02400661 ; 42nd European Conference on Information Retrieval (ECIR), 2020, Lisbon, Portugal (2020)
BASE
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15
Inference Annotation of a Chinese Corpus for Opinion Mining
In: LREC ; https://hal-inalco.archives-ouvertes.fr/hal-02507170 ; LREC, May 2020, Marseille, France (2020)
BASE
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16
Lexicon-Grammar based open information extraction from natural language sentences in Italian
In: ISSN: 0957-4174 ; Expert Systems with Applications ; https://hal.archives-ouvertes.fr/hal-02291746 ; Expert Systems with Applications, Elsevier, 2020, pp.112954. ⟨10.1016/j.eswa.2019.112954⟩ (2020)
BASE
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17
Syntactic and Semantic Impact of Prepositions in Machine Translation : An Empirical Study of French-English Translation of Prepositions ‘à’, ‘de’ and ‘en’
In: Human Language Technology. Challenges for Computer Science and Linguistics 8th Language and Technology Conference, LTC 2017, Poznań, Poland, November 17–19, 2017, Revised Selected Papers ; 8th Language and Technology Conference (LTC 2017) ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-03091307 ; Human Language Technology. Challenges for Computer Science and Linguistics 8th Language and Technology Conference, LTC 2017, Poznań, Poland, November 17–19, 2017, Revised Selected Papers, 12598, pp.273-287, 2020, Lecture Notes in Computer Science, 978-3-030-66526-5. ⟨10.1007/978-3-030-66527-2_20⟩ (2020)
BASE
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18
Automated Transliteration of Late Egyptian Using Neural Networks: An Experiment in “Deep Learning”
In: ISSN: 0942-5659 ; Lingua Aegyptia - Journal of Egyptian Language Studies ; https://hal.archives-ouvertes.fr/hal-03118369 ; Lingua Aegyptia - Journal of Egyptian Language Studies, Widmaier Verlag, 2020, 28, pp.233-257. ⟨10.37011/lingaeg.28.07⟩ (2020)
BASE
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19
Designing an IIR Research Apparatus with Users with Severe Intellectual Disability
In: ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR) ; https://hal-amu.archives-ouvertes.fr/hal-02470797 ; ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR), Mar 2020, Vancouver, Canada. pp.412-416, ⟨10.1145/3343413.3378008⟩ (2020)
BASE
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20
Using Twitter Streams for Opinion Mining: a case study on Airport Noise
In: ISSN: 1865-0929 ; Communications in Computer and Information Science ; https://hal.archives-ouvertes.fr/hal-03018998 ; Communications in Computer and Information Science, Springer Verlag, 2020, ⟨10.1007/978-3-030-44900-1_10⟩ (2020)
BASE
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