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1
Complete Variable-Length Codes: An Excursion into Word Edit Operations
In: LATA 2020 ; https://hal.archives-ouvertes.fr/hal-02389403 ; LATA 2020, Mar 2020, Milan, Italy (2020)
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2
Apprentissage de plongements de mots sur des corpus en langue de spécialité : une étude d’impact
In: Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL ; 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL ; https://hal.archives-ouvertes.fr/hal-02786198 ; 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL, Jun 2020, Nancy, France. pp.164-178 (2020)
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Unsupervised cross-lingual representation modeling for variable length phrases ; Apprentissage de représentations cross-lingue d’expressions de longueur variable
Liu, Jingshu. - : HAL CCSD, 2020
In: https://hal.archives-ouvertes.fr/tel-02938554 ; Computation and Language [cs.CL]. Université de Nantes, 2020. English (2020)
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4
Word Representations Concentrate and This is Good News!
In: CoNLL 2020 - 24th Conference on Computational Natural Language Learning ; https://hal.univ-grenoble-alpes.fr/hal-03356609 ; CoNLL 2020 - 24th Conference on Computational Natural Language Learning, Association for Computational Linguistics (ACL), Nov 2020, Online, France. pp.325-334, ⟨10.18653/v1/2020.conll-1.25⟩ (2020)
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5
Implementing Eco’s Model Reader with WordEmbeddings. An Experiment on Facebook Ideological Bots
In: JADT - Journées d'analyse des données textuelles ; https://hal.archives-ouvertes.fr/hal-03144105 ; JADT - Journées d'analyse des données textuelles, Jun 2020, Toulouse, France (2020)
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6
Natural language understanding in argumentative dialogue systems ...
Shigehalli, Pavan Rajashekhar. - : Universität Ulm, 2020
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7
Automatic Creation of Correspondence Table of Meaning Tags from Two Dictionaries in One Language Using Bilingual Word Embedding
Teruo Hirabayashi; Kanako Komiya; Masayuki Asahara. - : European Language Resources Association, 2020
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8
ArAutoSenti: Automatic annotation and new tendencies for sentiment classification of Arabic messages
Abstract: The file attached to this record is the author's final peer reviewed version. ; A corpus-based sentiment analysis approach for messages written in Arabic and its dialects is presented and implemented. The originality of this approach resides in the automation construction of the annotated sentiment corpus, which relies mainly on a sentiment lexicon that is also constructed automatically. For the classification step, shallow and deep classifiers are used with features being extracted applying word embedding models. For the validation of the constructed corpus, we proceed with a manual reviewing and it was found that 85.17% were correctly annotated. This approach is applied on the under-resourced Algerian dialect and the approach is tested on two external test corpora presented in the literature. The obtained results are very encouraging with an F1-score that is up to 88% (on the first test corpus) and up to 81% (on the second test corpus). These results respectively represent a 20% and a 6% improvement, respectively, when compared with existing work in the research literature.
Keyword: Arabic and its dialects; Arabic sentiment analysis; Automatic resources construction; document embedding; shallow/deep classification; word embedding
URL: https://doi.org/10.1007/s13278-020-00688-x
https://dora.dmu.ac.uk/handle/2086/20047
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9
French AXA Insurance Word Embeddings : Effects of Fine-tuning BERT and Camembert on AXA France’s data
Zouari, Hend. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020
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10
Entropy-Based Approach for the Detection of Changes in Arabic Newspapers’ Content
In: Entropy ; Volume 22 ; Issue 4 (2020)
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11
A Framework for Word Embedding Based Automatic Text Summarization and Evaluation
In: Information ; Volume 11 ; Issue 2 (2020)
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12
Data from: Wide range screening of algorithmic bias in word embedding models using large sentiment lexicons reveals underreported bias types ...
Rozado, David. - : Dryad, 2020
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13
Early Vedic – Morphosyntactic structures, Part 3 ... : Word Order, Embedding ...
Keydana, Götz. - : Georg-August-Universität Göttingen,Sprachwissenschaftliches Seminar, 2020
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14
Sense Identification Dataset - SID ...
Radicioni, Daniele P.. - : Mendeley, 2020
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15
Sense Identification Dataset - SID ...
Radicioni, Daniele P.. - : Mendeley, 2020
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16
COMBINING TEXT EMBEDDING WITH ADDITIONAL KNOWLEDGE FOR INFORMATION EXTRACTION ...
Roy, Arpita. - : Maryland Shared Open Access Repository, 2020
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17
Assessing Topical Homogeneity with Word Embedding and Distance Matrices
In: School of Information Studies - Faculty Scholarship (2020)
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18
Quantum-like generalization of complex word embedding: a lightweight approach for textual classification.
Frommholz, Ingo; Liu, Haiming; Holdack, Guilherme. - : CEUR Workshop Proceedings, 2020
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19
Towards Arabic textual and multi-modal sentiment analysis
Alqarafi, Abdulrahman. - : University of Stirling, 2020
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20
USE OF WORD EMBEDDING TO GENERATE SIMILAR WORDS AND MISSPELLINGS FOR TRAINING PURPOSE IN CHATBOT DEVELOPMENT
Thapa, Sanjay. - 2020
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