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Complete Variable-Length Codes: An Excursion into Word Edit Operations
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In: LATA 2020 ; https://hal.archives-ouvertes.fr/hal-02389403 ; LATA 2020, Mar 2020, Milan, Italy (2020)
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Apprentissage de plongements de mots sur des corpus en langue de spécialité : une étude d’impact
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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
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In: https://hal.archives-ouvertes.fr/tel-02938554 ; Computation and Language [cs.CL]. Université de Nantes, 2020. English (2020)
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Word Representations Concentrate and This is Good News!
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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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Implementing Eco’s Model Reader with WordEmbeddings. An Experiment on Facebook Ideological Bots
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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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Natural language understanding in argumentative dialogue systems ...
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Automatic Creation of Correspondence Table of Meaning Tags from Two Dictionaries in One Language Using Bilingual Word Embedding
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ArAutoSenti: Automatic annotation and new tendencies for sentiment classification of Arabic messages
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French AXA Insurance Word Embeddings : Effects of Fine-tuning BERT and Camembert on AXA France’s data
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Zouari, Hend. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020
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Entropy-Based Approach for the Detection of Changes in Arabic Newspapers’ Content
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In: Entropy ; Volume 22 ; Issue 4 (2020)
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A Framework for Word Embedding Based Automatic Text Summarization and Evaluation
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In: Information ; Volume 11 ; Issue 2 (2020)
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Data from: Wide range screening of algorithmic bias in word embedding models using large sentiment lexicons reveals underreported bias types ...
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Early Vedic – Morphosyntactic structures, Part 3 ... : Word Order, Embedding ...
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Keydana, Götz. - : Georg-August-Universität Göttingen,Sprachwissenschaftliches Seminar, 2020
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COMBINING TEXT EMBEDDING WITH ADDITIONAL KNOWLEDGE FOR INFORMATION EXTRACTION ...
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Roy, Arpita. - : Maryland Shared Open Access Repository, 2020
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Assessing Topical Homogeneity with Word Embedding and Distance Matrices
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In: School of Information Studies - Faculty Scholarship (2020)
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Abstract:
Researchers from many fields have used statistical tools to make sense of large bodies of text. Many tools support quantitative analysis of documents within a corpus, but relatively few studies have examined statistical characteristics of whole corpora. Statistical summaries of whole corpora and comparisons between corpora have potential application in the analysis of topically organized applications such social media platforms. In this study, we created matrix representations of several corpora and examined several statistical tests to make comparisons between pairs of corpora with respect to the topical homogeneity of documents within each corpus. Results of three experiments suggested that a matrix of cosine distances calculated from vector summaries of short phrases contains useful information about how closely the documents within a corpus relate to one another. Both the tested summarization method and a non-parametric test for comparing cosine distance matrices appear to have utility for examining and comparing corpora containing brief texts.
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Keyword:
Applied Linguistics; data analysis; Databases and Information Systems; Library and Information Science; Management Sciences and Quantitative Methods; text analysis; word embedding
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URL: https://surface.syr.edu/cgi/viewcontent.cgi?article=1197&context=istpub https://surface.syr.edu/istpub/193
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Quantum-like generalization of complex word embedding: a lightweight approach for textual classification.
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USE OF WORD EMBEDDING TO GENERATE SIMILAR WORDS AND MISSPELLINGS FOR TRAINING PURPOSE IN CHATBOT DEVELOPMENT
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