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Publication search results
found 13 matches
- 2021
- Eya Hammami, Rim Faiz, Imen Akermi:
A Dynamic Convolutional Neural Network Approach for Legal Text Classification. ICIKS 2021: 71-84 - 2020
- Imen Akermi, Johannes Heinecke, Frédéric Herledan:
Tansformer based Natural Language Generation for Question-Answering. INLG 2020: 349-359 - Imen Akermi, Johannes Heinecke, Frédéric Herledan:
Approche de génération de réponse à base de transformers (Transformer based approach for answer generation). JEP-TALN-RECITAL (2) 2020: 2-11 - 2019
- Eya Hammami, Imen Akermi, Rim Faiz, Mohand Boughanem:
Deep Learning for French Legal Data Categorization. MEDI 2019: 96-105 - 2018
- Imen Akermi, Rim Faiz:
Situation assessment for non-intrusive recommendation. RCIS 2018: 1-11 - Imen Akermi, Mohand Boughanem, Rim Faiz:
A probabilistic model for intrusive recommendation assessment. RecSys 2018: 441-445 - 2017
- Imen Akermi:
Un modèle hybride pour la recommandation proactive et contextuelle. (A hybrid model for context-aware proactive recommendation). Paul Sabatier University, Toulouse, France, 2017 - 2016
- Imen Akermi, Mohand Boughanem, Rim Faiz:
Just-In-Time Recommendation Approach within a Mobile Context. WI 2016: 636-639 - 2015
- Imen Akermi, Rim Faiz:
A Mobile Context-Aware Proactive Recommendation Approach. ICCCI (1) 2015: 400-409 - Imen Akermi, Mohand Boughanem, Rim Faiz:
Une Approche de recommandation proactive dans un environnement mobile. INFORSID 2015: 301-316 - 2014
- Imen Akermi, Rim Faiz:
An Approach to Semantic Text Similarity Computing. CSOC 2014: 383-393 - 2012
- Imen Akermi, Rim Faiz:
Mesure de similarité sémantique entre les mots en utilisant le contenu du Web. EGC 2012: 545-546 - Imen Akermi, Rim Faiz:
Hybrid Method for Computing Word-Pair Similarity based on Web Content. WIMS 2012: 63:1-63:4
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