Hatim Khouzaimi


2015

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Turn-taking phenomena in incremental dialogue systems
Hatim Khouzaimi | Romain Laroche | Fabrice Lefèvre
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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Optimising Turn-Taking Strategies With Reinforcement Learning
Hatim Khouzaimi | Romain Laroche | Fabrice Lefèvre
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue

2014

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An easy method to make dialogue systems incremental
Hatim Khouzaimi | Romain Laroche | Fabrice Lefevre
Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)

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A simple approach to make dialogue systems incremental (Vers une approche simplifiée pour introduire le caractère incrémental dans les systèmes de dialogue) [in French]
Hatim Khouzaimi | Romain Laroche | Fabrice Lefèvre
Proceedings of TALN 2014 (Volume 1: Long Papers)

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DictaNum: a dialogue system for numbers dictation (DictaNum : système de dialogue incrémental pour la dictée de numéros.) [in French]
Hatim Khouzaimi | Romain Laroche | Fabrice Lefèvre
Proceedings of TALN 2014 (Volume 3: System Demonstrations)

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NASTIA: Negotiating Appointment Setting Interface
Layla El Asri | Rémi Lemonnier | Romain Laroche | Olivier Pietquin | Hatim Khouzaimi
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

This paper describes a French Spoken Dialogue System (SDS) named NASTIA (Negotiating Appointment SeTting InterfAce). Appointment scheduling is a hybrid task halfway between slot-filling and negotiation. NASTIA implements three different negotiation strategies. These strategies were tested on 1734 dialogues with 385 users who interacted at most 5 times with the SDS and gave a rating on a scale of 1 to 10 for each dialogue. Previous appointment scheduling systems were evaluated with the same experimental protocol. NASTIA is different from these systems in that it can adapt its strategy during the dialogue. The highest system task completion rate with these systems was 81% whereas NASTIA had an 88% average and its best performing strategy even reached 92%. This strategy also significantly outperformed previous systems in terms of overall user rating with an average of 8.28 against 7.40. The experiment also enabled highlighting global recommendations for building spoken dialogue systems.