Mehdi Mirzapour
Mehdi Mirzapour
Ph.D. in Computer Science (Montpellier University)
Verified email at - Homepage
Cited by
Cited by
Collecting weighted coercions from crowd-sourced lexical data for compositional semantic analysis
M Lafourcade, B Mery, M Mirzapour, R Moot, C Retoré
JSAI International Symposium on Artificial Intelligence, 214-230, 2017
Finding Missing Categories in Incomplete Utterances
M Mirzapour
24e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), 149, 2017
AI-Based Syntactic Complexity Metrics and Sight Interpreting Performance
VLN Zou L., Carl M., Mirzapour M., Jacquenet H.
Intelligent Human Computer Interaction. IHCI 2021. Lecture Notes in Computer …, 2022
Logic and Algorithms in Computational Linguistics 2018 (LACompLing2018)
R Loukanova
Springer International Publishing, 2020
Quantifier scoping and semantic preferences
D Catta, M Mirzapour
CONLI: Computing Natural Language Inference, 2017
Categorial Proof Nets and Dependency Locality: A New Metric for Linguistic Complexity
M Mirzapour, JP Prost, C Retoré
LACompLing: Logic and Algorithms in Computational Linguistics, 73-86, 2018
French FastContext: A publicly accessible system for detecting negation, temporality and experiencer in French clinical notes
M Mirzapour, A Abdaoui, A Tchechmedjiev, W Digan, S Bringay, ...
Journal of Biomedical Informatics 117, 103733, 2021
Measuring linguistic complexity: introducing a new categorial metric
M Mirzapour, JP Prost, C Retoré
Logic and Algorithms in Computational Linguistics 2018 (LACompLing2018), 95-123, 2020
Prediction of Missing Semantic Relations in Lexical-Semantic Network using Random Forest Classifier
K Cousot, M Mirzapour, W Ragheb
arXiv preprint arXiv:1911.04759, 2019
Modeling Preferences for Ambiguous Utterance Interpretations
M Mirzapour
Université Montpellier, 2018
Modeling Preferences for Ambiguous Utterance Interpretations.(Modélisation de préférences pour l'interprétation d'énoncés ambigus).
M Mirzapour
Laboratoire d'Informatique, de Robotique et de Microélectronique de …, 2018
Collecting Crowd-Sourced Lexical Coercions for Compositional Semantic Analysis
M Lafourcade, B Mery, M Mirzapour, R Moot, C Retoré
Logic and Engineering of Natural Language Semantics 14, 2017
Emotional Speech Recognition with Pre-trained Deep Visual Models
W Ragheb, M Mirzapour, A Delfardi, H Jacquenet, L Carbon
Deep Learning for NLP Workshop, Extraction et Gestion des Connaissances (EGC …, 2022
Introducing RezoJDM16k: a French Knowledge Graph DataSet for Link Prediction
M Mirzapour, W Ragheb, MJ Saeedizade, K Cousot, H Jacquenet, ...
Syntactic Complexity and Translation Performance in English-to-Chinese Sight Translation
L Zou, Mirzapour, Mehdi, H Jacquenet
Applied Linguistics and Professional Practice, 2021
Le repérage de nominations dans les corpus textuels: de l'exploitation de l'analyse des données textuelles à l'exploration des chaînes de coréférence par le TAL
J Longhi, JY Antoine, M Mirzapour, A Jackiewicz, ...
JADT 2020: 15es Journées internationales d’Analyse statistique des Données …, 2020
Représentations et transmission des connaissances à la lumière de l’innovation numérique. Actes du colloque Jeunes Chercheurs PRAXILING UMR 5267, 7-8 Novembre 2019
J Magnier, AL Biales, P Bellet, O Le Deuff, C Pélissier, D Ozil, Y Guo, ...
The Groundability of Four Figures of Aristotelian’s Syllogism
M Hafi, M Bagheri, M Mirzapour, G Zakiani
Logical Study, IHCS 9, 2018
Medieval Supposition Theory: The Implicit Semantic of Aristotle's Sophistical Refutations
M Bagheri, M Mirzapour, G Zakiani
Logical Study, IHCS 9, 2018
Venn Diagram and Evaluation of Syllogisms with Negative Terms: A New Algorithm
M Mirzapour, C Retoré
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