no code implementations • 11 Apr 2024 • Juliette Faille, Quentin Brabant, Gwenole Lecorve, Lina M. Rojas-Barahona, Claire Gardent
We explore question generation in the context of knowledge-grounded dialogs focusing on explainability and evaluation.
no code implementations • 8 Jan 2024 • Morgan Veyret, Jean-Baptiste Duchene, Kekeli Afonouvi, Quentin Brabant, Gwenole Lecorve, Lina M. Rojas-Barahona
Typically available dialogue frameworks have adopted a semantic representation based on dialogue-acts and slot-value pairs.
no code implementations • 22 Dec 2023 • Jay Kejriwal, Stefan Benus, Lina M. Rojas-Barahona
Speakers tend to engage in adaptive behavior, known as entrainment, when they become similar to their interlocutor in various aspects of speaking.
no code implementations • 29 Aug 2023 • Quentin Brabant, Gwenole Lecorve, Lina M. Rojas-Barahona, Claire Gardent
We present KGConv, a large, conversational corpus of 71k conversations where each question-answer pair is grounded in a Wikidata fact.
no code implementations • 28 Apr 2023 • Michele Cafagna, Lina M. Rojas-Barahona, Kees Van Deemter, Albert Gatt
When applied to Image-to-text models, interpretability methods often provide token-by-token explanations namely, they compute a visual explanation for each token of the generated sequence.
no code implementations • 22 Feb 2023 • Thibault Cordier, Tanguy Urvoy, Fabrice Lefevre, Lina M. Rojas-Barahona
Reinforcement learning has been widely adopted to model dialogue managers in task-oriented dialogues.
no code implementations • 12 Feb 2023 • Sebastien Montella, Alexis Nasr, Johannes Heinecke, Frederic Bechet, Lina M. Rojas-Barahona
Text generation from Abstract Meaning Representation (AMR) has substantially benefited from the popularized Pretrained Language Models (PLMs).
no code implementations • SIGDIAL (ACL) 2022 • Thibault Cordier, Tanguy Urvoy, Fabrice Lefèvre, Lina M. Rojas-Barahona
Task-oriented dialogue systems are designed to achieve specific goals while conversing with humans.
no code implementations • 29 Jul 2022 • Léo Jacqmin, Lina M. Rojas-Barahona, Benoit Favre
DST has received a lot of interest in recent years with the text-to-text paradigm emerging as the favored approach.
1 code implementation • LREC 2022 • Quentin Brabant, Gwenole Lecorve, Lina M. Rojas-Barahona
CoQAR can be used in the supervised learning of three tasks: question paraphrasing, question rewriting and conversational question answering.
no code implementations • 13 Jan 2021 • Lina M. Rojas-Barahona
The impact of user satisfaction in policy learning task-oriented dialogue systems has long been a subject of research interest.
no code implementations • 25 Nov 2020 • Thibault Cordier, Tanguy Urvoy, Lina M. Rojas-Barahona, Fabrice Lefèvre
We notably propose a randomised exploration policy which allows for a seamless hybridisation of the learned policy and the expert.
no code implementations • WS 2019 • Lina M. Rojas-Barahona, Pascal Bellec, Benoit Besset, Martinho Dos-Santos, Johannes Heinecke, Munshi Asadullah, Olivier Le-Blouch, Jean Y. Lancien, Géraldine Damnati, Emmanuel Mory, Frédéric Herledan
We present a spoken conversational question answering proof of concept that is able to answer questions about general knowledge from Wikidata.
no code implementations • 14 Jun 2018 • Lina M. Rojas-Barahona, Stefan Ultes, Pawel Budzianowski, Iñigo Casanueva, Milica Gasic, Bo-Hsiang Tseng, Steve Young
This paper presents two ways of dealing with scarce data in semantic decoding using N-Best speech recognition hypotheses.
no code implementations • WS 2017 • Kyusong Lee, Tiancheng Zhao, Yulun Du, Edward Cai, Allen Lu, Eli Pincus, David Traum, Stefan Ultes, Lina M. Rojas-Barahona, Milica Gasic, Steve Young, Maxine Eskenazi
DialPort collects user data for connected spoken dialog systems.
no code implementations • 9 Sep 2016 • Milica Gasic, Nikola Mrksic, Lina M. Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve Young
Spoken dialogue systems allow humans to interact with machines using natural speech.
no code implementations • EMNLP 2016 • Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina M. Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Steve Young
Recently a variety of LSTM-based conditional language models (LM) have been applied across a range of language generation tasks.
1 code implementation • EACL 2017 • Tsung-Hsien Wen, David Vandyke, Nikola Mrksic, Milica Gasic, Lina M. Rojas-Barahona, Pei-Hao Su, Stefan Ultes, Steve Young
Teaching machines to accomplish tasks by conversing naturally with humans is challenging.
no code implementations • NAACL 2016 • Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina M. Rojas-Barahona, Pei-Hao Su, David Vandyke, Steve Young
Moving from limited-domain natural language generation (NLG) to open domain is difficult because the number of semantic input combinations grows exponentially with the number of domains.
no code implementations • LREC 2012 • Lina M. Rojas-Barahona, Alej Lorenzo, ra, Claire Gardent
We describe the acquisition of a dialog corpus for French based on multi-task human-machine interactions in a serious game setting.
no code implementations • LREC 2012 • Fabrice Lef{\`e}vre, Djamel Mostefa, Laurent Besacier, Yannick Est{\`e}ve, Matthieu Quignard, Nathalie Camelin, Benoit Favre, Bassam Jabaian, Lina M. Rojas-Barahona
The PORTMEDIA project is intended to develop new corpora for the evaluation of spoken language understanding systems.