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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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3
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
Abstract: This thesis presents various techniques to implement the natural language understanding in argumentative dialog systems. We examine various models like the ones which exploit the linguistic properties of the English language, models which rely on the vector representation of words, with different similarity measurement techniques. In order to structure the user responses, we formalize the user interaction as an argument game. And we explore chat bot designs in order to understand the user intents in the game. The models are tested for the data obtained from Wikipedia pages. We also collect the real user responses and evaluate the model. The output indicates that, the training data, model architecture and the similarity measurement techniques play a significant role in the performance. In addition, the models based on linguistic properties perform better than the ones based on vector representation. ...
Keyword: Artificial intelligence; Automatic speech recognition; Automatische Sprachanalyse; BERT; Computational linguistics; DDC 004 / Data processing & computer science; Dialogue game for argumentation; Digitale Sprachverarbeitung; GloVe; Intent classification; Künstliche Intelligenz; Natürliche Sprache; Natural language processing Computer science; Natural language understanding; RASA; Semantic similarity measures; Semantics; Data processing; Utterance mapping; Word embedding; Word2Vec; WordNet
URL: https://dx.doi.org/10.18725/oparu-23716
https://oparu.uni-ulm.de/xmlui/handle/123456789/23779
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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
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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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