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A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter
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| 102 |
Modal Adverbs in FDG: Putting the Theory to the Test
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In: Open Linguistics, Vol 4, Iss 1, Pp 356-390 (2018) (2018)
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| 103 |
Deep learning-based cryptocurrency sentiment construction
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Nasekin, Sergey; Chen, Cathy Yi-Hsuan. - : Berlin: Humboldt-Universität zu Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series", 2018
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| 104 |
A Framework to Understand Emoji Meaning: Similarity and Sense Disambiguation of Emoji using EmojiNet
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In: Browse all Theses and Dissertations (2018)
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| 105 |
Delexicalized Word Embeddings for Cross-lingual Dependency Parsing
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In: EACL ; https://hal.inria.fr/hal-01590639 ; EACL, Apr 2017, Valencia, Spain. pp.241 - 250, ⟨10.18653/v1/E17-1023⟩ ; http://eacl2017.org/ (2017)
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| 106 |
IRISA at DeFT2017 : classification systems of increasing complexity ; Participation de l'IRISA à DeFT2017 : systèmes de classification de complexité croissante
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In: DeFT 2017 - Défi Fouille de texte ; https://hal.archives-ouvertes.fr/hal-01643993 ; DeFT 2017 - Défi Fouille de texte, Jun 2017, Orléans, France. pp.1-10 (2017)
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| 107 |
Invariance: a Theoretical Approach for Coding Sets of Words Modulo Literal (Anti)Morphisms
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In: Springer, LNCS. ; https://hal-normandie-univ.archives-ouvertes.fr/hal-02117030 ; Springer, LNCS., 2017, pp.214-227 (2017)
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| 108 |
Things and Strings and More: Improving Place Name Disambiguation from Short Texts by Combining Entity Co-Occurrence, Topic Modeling, and Word Embedding
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Ju, Yiting. - : eScholarship, University of California, 2017
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In: Ju, Yiting. (2017). Things and Strings and More: Improving Place Name Disambiguation from Short Texts by Combining Entity Co-Occurrence, Topic Modeling, and Word Embedding. 0035: Geography. Retrieved from: http://www.escholarship.org/uc/item/4w60s702 (2017)
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| 109 |
An empirical study of the Algerian dialect of Social network
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In: ICNLSSP 2017 - International Conference on Natural Language, Signal and Speech Processing ; https://hal.inria.fr/hal-01659997 ; ICNLSSP 2017 - International Conference on Natural Language, Signal and Speech Processing, Dec 2017, Casablanca, Morocco ; http://icnlssp.isga.ma (2017)
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| 110 |
Cognitive Intelligence in Relational Databases ...
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Abstract:
We evaluate the applicability of distributed language embedding techniques from the domain of natural language processing to relational data. Relational data is typically stored in SQL databases. We apply modern distributed representations of words (Tomas Mikolov 2013c) and paragraph (Quoc V. Le 2014) techniques to this structured data and attempt to unlock the potential of enhanced cognitive querying. The research intention is to be able to perform queries which are non-trivial to perform using the SQL dialect alone. We tokenize the IMDB 5000 movie data-set to generate embeddings using word2vec and a modified version of doc2vec that we term as row2vec. We discuss the effects of various hyperparameter choices and tokenization techniques. We visualise these embedding using PCA and present the results for certain queries. Keywords: Word embedding, databases, word2vec, cognitive querying. ...
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Keyword:
cognitive querying; databases; Word embedding; word2vec
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URL: https://dx.doi.org/10.13016/m2wzew-tsoz
http://mdsoar.org/handle/11603/15494
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| 111 |
Linguistic Knowledge Transfer for Enriching Vector Representations
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In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1500571436042414 (2017)
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| 115 |
Induction de lexiques bilingues à partir de corpus comparables et parallèles
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| 116 |
Multimodal Emotion Recognition for AVEC 2016 Challenge
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In: Audio/Visual Emotion Challenge ; https://hal.archives-ouvertes.fr/hal-01837203 ; Audio/Visual Emotion Challenge, ACM, Oct 2016, Amsterdam, Netherlands (2016)
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| 117 |
Evaluating Lexical Similarity to build Sentiment Similarity
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In: Proceedings of the Language and Resource Conference, LREC ; Language and Resource Conference, LREC ; https://hal.archives-ouvertes.fr/hal-01394768 ; Language and Resource Conference, LREC, May 2016, portoroz, Slovenia (2016)
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| 119 |
IRISA at DeFT 2015: Supervised and Unsupervised Methods in Sentiment Analysis
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In: DeFT, Défi Fouille de Texte, joint à la conférence TALN 2015 ; https://hal.archives-ouvertes.fr/hal-01226528 ; DeFT, Défi Fouille de Texte, joint à la conférence TALN 2015, Jun 2015, Caen, France (2015)
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