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81
Navegación de corpus a través de anotaciones lingüísticas automáticas obtenidas por Procesamiento del Lenguaje Natural: de anecdótico a ecdótico
In: Revista de Humanidades Digitales, vol. 4, pp. 136 (2019)
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82
Identifying Semantic Divergences Across Languages
Vyas, Yogarshi. - 2019
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83
A Combined CNN and LSTM Model for Arabic Sentiment Analysis
In: Lecture Notes in Computer Science ; 2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE) ; https://hal.inria.fr/hal-02060041 ; 2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2018, Hamburg, Germany. pp.179-191, ⟨10.1007/978-3-319-99740-7_12⟩ (2018)
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84
Dialog Acts Annotations for Online Chats ; Annotation en Actes de Dialogue pour les Conversations d’Assistance en Ligne
In: Actes TALN-RECITAL 2018 ; 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN) ; https://hal.archives-ouvertes.fr/hal-01943345 ; 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN), 2018, Rennes, France (2018)
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85
Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2018, Avignon,France)
Bellot, Patrice; Trabelsi, Chiraz; Mothe, Josiane. - : HAL CCSD, 2018. : Springer Berlin / Heidelberg, 2018. : Springer, 2018
In: ISSN: 0302-9743 ; Lecture Notes in Computer Science ; 9th International Conference of the CLEF Association (CLEF 2018) ; https://hal.archives-ouvertes.fr/hal-03044243 ; Bellot, Patrice; Trabelsi, Chiraz; Mothe, Josiane; Murtagh, Fionn; Nie, Jian-Yun; Soulier, Laure; Sanjuan, Eric; Cappellato, Linda; Ferro, Nicola. 9th International Conference of the CLEF Association (CLEF 2018), Sep 2018, Avignon, France. Lecture Notes in Computer Science, Springer Berlin / Heidelberg; Springer, 2018, Experimental IR Meets Multilinguality, Multimodality, and Interaction, 978-3-319-98931-0. ⟨10.1007/978-3-319-98932-7⟩ ; https://link.springer.com/book/10.1007%2F978-3-319-98932-7 (2018)
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86
From Emoji Usage to Categorical Emoji Prediction
In: 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING 2018) ; https://hal-amu.archives-ouvertes.fr/hal-01871045 ; 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING 2018), Mar 2018, Hanoï, Vietnam ; https://www.cicling.org/2018/ (2018)
Abstract: International audience ; Emoji usage drastically increased recently, they are becoming some of the most common ways to convey emotions and sentiments in social messaging applications. Several research works automatically recommend emojis, so users do not have to go through a library of thousands of emojis. In order to improve emoji recommendation, we present and distribute two useful resources: an emoji embedding model from real usage, and emoji clustering based on these embeddings to automatically identify groups of emojis. Assuming that emojis are part of written natural language and can be considered as words, we only used unsu-pervised learning methods to extract patterns and knowledge from real emoji usage in tweets. Thereby, emotion categories of face emojis were obtained directly from text in a fully reproductible way. These resources and methodology have multiple usages; for example, they could be used to improve our understanding of emojis or enhance emoji recommendation .
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]; clustering; emoji; Natural language processing NLP; recommendation; resources; word embeddings
URL: https://hal-amu.archives-ouvertes.fr/hal-01871045
https://hal-amu.archives-ouvertes.fr/hal-01871045/file/cicling2-cameraready-fixed.pdf
https://hal-amu.archives-ouvertes.fr/hal-01871045/document
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87
CorpusExplorer
Rüdiger, Jan Oliver. - : Jan Oliver Rüdiger, 2018
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88
Prediction of Psychosis Using Big Web Data in the United States
In: http://rave.ohiolink.edu/etdc/view?acc_num=kent1532962079970169 (2018)
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89
An Empirical Study of Word Embedding Dimensionality Reduction ...
Ji, Yichao. - : Zenodo, 2018
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90
An Empirical Study of Word Embedding Dimensionality Reduction ...
Ji, Yichao. - : Zenodo, 2018
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91
Chromium Conversations ...
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92
Chromium Conversations ...
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93
Data-Driven Language Understanding for Spoken Dialogue Systems ...
Mrkšić, Nikola. - : Apollo - University of Cambridge Repository, 2018
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94
ОБЛАЧНЫЕ СЕРВИСЫ ДЛЯ ОБРАБОТКИ ТЕКСТОВ НА ЕСТЕСТВЕННОМ ЯЗЫКЕ ... : CLOUD SERVICES FOR NATURAL LANGUAGE PROCESSING ...
Mukhamediev, R.I.; Symagulov, A.; Kuchin, Y.I.. - : Международный научный журнал “Современные информационные технологии и ИТ-образование”, 2018
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95
Training Neural Models for Abstractive Text Summarization
Kryściński, Wojciech. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018
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96
Automatic Annotation And Retrieval System (Ilars) For Enhancing Organizational E-Learning ...
Chuan-Jun Su*, Yin-An Chen. - : Zenodo, 2018
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97
Automatic Annotation And Retrieval System (Ilars) For Enhancing Organizational E-Learning ...
Chuan-Jun Su*, Yin-An Chen. - : Zenodo, 2018
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98
Proposition-based summarization with a coherence-driven incremental model
Fang, Yimai. - : University of Cambridge, 2018. : Computer Science and Technology, 2018. : Hughes Hall, 2018
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99
NLP Corpus Observatory – Looking for Constellations in Parallel Corpora to Improve Learners’ Collocational Skills
In: Schneider, Gerold; Graën, Johannes (2018). NLP Corpus Observatory – Looking for Constellations in Parallel Corpora to Improve Learners’ Collocational Skills. In: 7th Workshop on NLP for Computer Assisted Language Learning at SLTC 2018 (NLP4CALL 2018), Stockholm, 7 November 2018 - 7 November 2018, 69-78. (2018)
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100
Simple Convolutional Neural Networks with Linguistically-Annotated Input for Answer Selection in Question Answering
Sequiera, Royal. - : University of Waterloo, 2018
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