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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
Computer corpora and open source software for language learning : emerging research and opportunities
Posavec, Kristina. - Hershey, PA : IGI Global, 2020
BLLDB
UB Frankfurt Linguistik
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3
A project-based approach to translation technology
Mitchell-Schuitevoerder, Rosemary. - New York : Routledge, 2020
BLLDB
UB Frankfurt Linguistik
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4
Typical and impaired processing in morphosyntax
Torrens, Vincent. - Amsterdam ; Philadelphia : John Benjamins Publishing Company, 2020
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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5
Terminologies augmented recurrent neural network model for clinical named entity recognition
In: ISSN: 1532-0464 ; EISSN: 1532-0480 ; Journal of Biomedical Informatics ; https://hal.archives-ouvertes.fr/hal-02428771 ; Journal of Biomedical Informatics, Elsevier, 2020, 102, pp.103356. ⟨10.1016/j.jbi.2019.103356⟩ (2020)
BASE
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6
CAS: corpus of clinical cases in French
In: ISSN: 2041-1480 ; Journal of Biomedical Semantics ; https://hal.archives-ouvertes.fr/hal-03021064 ; Journal of Biomedical Semantics, BioMed Central, 2020, ⟨10.1186/s13326-020-00225-x⟩ (2020)
BASE
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7
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration
In: NeurIPS 2020 - 34th Conference on Neural Information Processing Systems ; https://hal.archives-ouvertes.fr/hal-03083158 ; NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtual, Canada (2020)
BASE
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8
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)
Abstract: International audience ; Both statistical and rule-based methods for named entity recognition are quite sensitive to the type of language used in the analysed texts. Former studies have shown for example that it was harder to detect named entities in SMS or microblog messages where words are abridged or changed to lowercase. In this article, we focus on old French texts to evaluate the impact of manual and automatic normalization before applying five geographical named entity recognition tools, as well as an improved version of one of them, in order to help building maps displaying the locations mentioned in ancient texts. Our results show that manual normalisation leads to better results for all methods and that automatic normalisation performs differently depending on the tool used to extract geographical named entities, but with a significant improvement on most methods.
Keyword: [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]; CasEN; CoreNLP; digital humanities; geographical named entity recognition; natural language processing; Perdido; SEM; Spacy; text normalization; Unitex
URL: https://hal-upec-upem.archives-ouvertes.fr/hal-02955867/file/KogkitsidouGambette-2020-postprint.pdf
https://doi.org/10.1145/3423337.3429437
https://hal-upec-upem.archives-ouvertes.fr/hal-02955867/document
https://hal-upec-upem.archives-ouvertes.fr/hal-02955867
BASE
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9
Using Silence MR Image to Synthesise Dynamic MRI Vocal Tract Data of CV
In: INTERSPEECH 2020 ; https://hal.inria.fr/hal-03090808 ; INTERSPEECH 2020, Oct 2020, Shangaï / Virtual, China ; http://www.interspeech2020.org/ (2020)
BASE
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10
The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding.
In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.inria.fr/hal-03476839 ; Studies in Health Technology and Informatics, IOS Press, 2020, 270, pp.432-436. ⟨10.3233/SHTI200197⟩ (2020)
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11
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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12
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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13
The ASL-CDI 2.0: an updated, normed adaptation of the MacArthur Bates Communicative Development Inventory for American Sign Language
Lieberman, Amy M.; Caselli, Naomi K.; Pyers, Jennie E.. - : Psychonomic Society, 2020
BASE
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14
A User-Centric and Sentiment Aware Privacy-Disclosure Detection Framework Based on Multi-Input Neural Network
In: Computer Science Faculty Publications and Presentations (2020)
BASE
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15
Author Identification in Free Texts
Wang, Yahui (Kay). - : Auckland University of Technology, 2020
BASE
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16
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)
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17
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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18
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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19
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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20
State Machine based Human-Bot Conversation Model and Services
In: CAiSE 2020: 32nd International Conference on Advanced Information Systems Engineering ; https://hal.archives-ouvertes.fr/hal-03122974 ; CAiSE 2020: 32nd International Conference on Advanced Information Systems Engineering, Jun 2020, Grenoble, France. pp.199-214, ⟨10.1007/978-3-030-49435-3_13⟩ (2020)
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