I am a Scienor Data Scientist at Della where I work on Machine Reading and Question Answering for legal companies. Previously, I have obtained my PhD in Computer Science in October 2019 at the University of Nantes. During my PhD, I worked on Neural Conversational Systems (chatbots) with Deep Neural Networks under the supervision of Emmanuel Morin, Christine Jacquin and Nicolas Hernandez.

Previously, I graduated from Paris-Saclay University in 2016 with a Master's Degree (CILS)and from École Nationale Supérieure d'Informatiquein 2015 with a CS Engineer Degree.

Interests: Neural conversational systems, question answering, machine translation, image-text translation, discourse processing, deep learning, reinforcement learning.
basma.boussahaa@gmail.com Google Scholar GitHub LinkedIn Twitter

Publications

End-to-End Response Selection Based on Multi-Level Context Response Matching
Basma El Amel Boussaha, Nicolas Hernandez, Christine Jacquin, Emmanuel Morin
Computer Speech & Language Journal(CS&L), 2020
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(Thesis) Response Selection for End-to-End Retrieval-Based Dialogue Systems
Basma El Amel Boussaha
Universite de Nantes, 2019
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Deep Retrieval-Based Dialogue Systems A Short Review
Basma El Amel Boussaha, Nicolas Hernandez, Christine Jacquin, Emmanuel Morin
Preprint, 2019
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Towards Simple but Efficient Next Utterance Ranking
Basma El Amel Boussaha, Nicolas Hernandez, Christine Jacquin, Emmanuel Morin
International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2019
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Multi-level Context Response Matching in Retrieval-Based Dialog Systems
Basma El Amel Boussaha, Nicolas Hernandez, Christine Jacquin, Emmanuel Morin
DSTC7 workshop at the 33 rd conference on Artificial Intelligence (AAAI), 2019
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Ordonnancement de réponses dans les systèmes de dialogue basé sur une similarité contexte/réponse
Basma El Amel Boussaha, Nicolas Hernandez, Christine Jacquin, Emmanuel Morin
Conférence sur le Traitement Automatique des Langues Naturelles (TALN), 2018
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A Multi-Domain Framework for Textual Similarity. A Case Study on Question-to-Question and Question-Answering Similarity Tasks
Amir Hazem, Basma El Amel Boussaha, Nicolas Hernandez
Language Resources and Evaluation Conference (LREC), 2018
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Next utterance ranking based on context response similarity
Basma El Amel Boussaha, Nicolas Hernandez, Christine Jacquin, Emmanuel Morin
Machine Learning and Data Analytics Symposium (MLDAS), 2018
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MappSent at IJCNLP-2017 Task 5':' A Textual Similarity Approach Applied to Multi-choice Question Answering in Examinations
Amir Hazem, Basma El Amel Boussaha, Nicolas Hernandez
Recent Advances in Natural Language Processing Shared Tasks (RANLP), 2017
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MappSent':' a Textual Mapping Approach for Question-to-Question Similarity
Amir Hazem, Basma El Amel Boussaha, Nicolas Hernandez
Recent Advances in Natural Language Processing (RANLP), 2017
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Thread Reconstruction in Conversational Data using Neural Coherence Models
Dat Tien Nguyen, Shafiq Joty, Basma El Amel Boussaha, Maarten de Rijke
SIGIR Workshop on Neural Information Retrieval (Neu-IR), 2017
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Exploitation des plongements de mots pour l’analyse d’opinion et du langage
Amir Hazem, Basma El Amel Boussaha, Nicolas Hernandez
Conférence sur le Traitement Automatique des Langues Naturelles (TALN), 2017
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Teaching

Introduction to algorithms
65 hours – Institut Universitaire de Technologie (Nantes, France) – Fall 2017 and 2018

Data structure and fundamental programming
32 hours – Institut Universitaire de Technologie (Nantes, France) – Winter 2017 and 2018

Object-oriented programming
27 hours – Institut Universitaire de Technologie (Nantes, France) – Fall 2017

Deep learning for NLP
15 hours – Université de Nantes (Nantes, France) – Fall 2019