Search Results for author: François Portet

Found 26 papers, 4 papers with code

Controllable Neural Natural Language Generation: comparison of state-of-the-art control strategies

no code implementations ACL (WebNLG, INLG) 2020 Yuanmin Leng, François Portet, Cyril Labbé, Raheel Qader

In this paper, we study different strategies of control in triple-totext generation systems particularly from the aspects of text structure and text length.

TAG Text Generation

Vers la compréhension automatique de la parole bout-en-bout à moindre effort (Towards automatic end-to-end speech understanding with less effort)

no code implementations JEP/TALN/RECITAL 2022 Marco Naguib, François Portet, Marco Dinarelli

Les approches de compréhension automatique de la parole ont récemment bénéficié de l’apport de modèles préappris par autosupervision sur de gros corpus de parole.

Citation Context Classification: Critical vs Non-critical

no code implementations sdp (COLING) 2022 Sonita Te, Amira Barhoumi, Martin Lentschat, Frédérique Bordignon, Cyril Labbé, François Portet

In this work, we investigate how to automatically classify the critical citation contexts using Natural Language Processing (NLP).

Classification

Multi3Generation: Multitask, Multilingual, Multimodal Language Generation

no code implementations EAMT 2022 Anabela Barreiro, José GC de Souza, Albert Gatt, Mehul Bhatt, Elena Lloret, Aykut Erdem, Dimitra Gkatzia, Helena Moniz, Irene Russo, Fabio Kepler, Iacer Calixto, Marcin Paprzycki, François Portet, Isabelle Augenstein, Mirela Alhasani

This paper presents the Multitask, Multilingual, Multimodal Language Generation COST Action – Multi3Generation (CA18231), an interdisciplinary network of research groups working on different aspects of language generation.

Text Generation

Spoken Dialogue System for Medical Prescription Acquisition on Smartphone: Development, Corpus and Evaluation

no code implementations6 Nov 2023 Ali Can Kocabiyikoglu, François Portet, Jean-Marc Babouchkine, Prudence Gibert, Hervé Blanchon, Gaëtan Gavazzi

In this paper, we present a natural language interface for e-prescribing software in the form of a spoken dialogue system accessible on a smartphone.

Data Augmentation

Can GPT models Follow Human Summarization Guidelines? Evaluating ChatGPT and GPT-4 for Dialogue Summarization

no code implementations25 Oct 2023 Yongxin Zhou, Fabien Ringeval, François Portet

This study explores the capabilities of prompt-driven Large Language Models (LLMs) like ChatGPT and GPT-4 in adhering to human guidelines for dialogue summarization.

Semantic Similarity Semantic Textual Similarity

FRACAS: A FRench Annotated Corpus of Attribution relations in newS

no code implementations19 Sep 2023 Ange Richard, Laura Alonzo-Canul, François Portet

Quotation extraction is a widely useful task both from a sociological and from a Natural Language Processing perspective.

Evaluating Emotional Nuances in Dialogue Summarization

no code implementations23 Jul 2023 Yongxin Zhou, Fabien Ringeval, François Portet

Automatic dialogue summarization is a well-established task that aims to identify the most important content from human conversations to create a short textual summary.

Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity

1 code implementation23 Jun 2023 Riccardo Presotto, Sannara Ek, Gabriele Civitarese, François Portet, Philippe Lalanda, Claudio Bettini

In this paper, we propose a novel strategy to combine publicly available datasets with the goal of learning a generalized HAR model that can be fine-tuned using a limited amount of labeled data on an unseen target domain.

Human Activity Recognition

Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones

no code implementations30 Oct 2022 Sannara Ek, François Portet, Philippe Lalanda, German Vega

Unfortunately, however, the most popular federated learning algorithms have been shown not to be adapted to some highly heterogeneous pervasive computing environments.

Federated Learning Human Activity Recognition +1

Lightweight Transformers for Human Activity Recognition on Mobile Devices

1 code implementation22 Sep 2022 Sannara Ek, François Portet, Philippe Lalanda

Human Activity Recognition (HAR) on mobile devices has shown to be achievable with lightweight neural models learned from data generated by the user's inertial measurement units (IMUs).

Human Activity Recognition

A Spoken Drug Prescription Dataset in French for Spoken Language Understanding

no code implementations LREC 2022 Ali Can Kocabiyikoglu, François Portet, Prudence Gibert, Hervé Blanchon, Jean-Marc Babouchkine, Gaëtan Gavazzi

To facilitate the research and development of spoken medical dialogue systems, we present, to the best of our knowledge, the first spoken medical drug prescriptions corpus, named PxSLU.

Spoken Language Understanding

Effectiveness of French Language Models on Abstractive Dialogue Summarization Task

no code implementations LREC 2022 Yongxin Zhou, François Portet, Fabien Ringeval

We further discuss the limits of such pre-trained models and the challenges that must be addressed for summarizing spontaneous dialogues.

Abstractive Dialogue Summarization

Federated Continual Learning through distillation in pervasive computing

no code implementations17 Jul 2022 Anastasiia Usmanova, François Portet, Philippe Lalanda, German Vega

Current solutions rely on the availability of large amounts of stored data at the client side in order to fine-tune the models sent by the server.

Continual Learning Federated Learning +1

Vers la compréhension automatique de la parole bout-en-bout à moindre effort

no code implementations1 Jul 2022 Marco Naguib, François Portet, Marco Dinarelli

Recent advances in spoken language understanding benefited from Self-Supervised models trained on large speech corpora.

Spoken Language Understanding

Toward Low-Cost End-to-End Spoken Language Understanding

no code implementations1 Jul 2022 Marco Dinarelli, Marco Naguib, François Portet

Recent advances in spoken language understanding benefited from Self-Supervised models trained on large speech corpora.

Spoken Language Understanding

GenderedNews: Une approche computationnelle des écarts de représentation des genres dans la presse française

1 code implementation11 Feb 2022 Ange Richard, Gilles Bastin, François Portet

We then detail the methods adopted by {\it GenderedNews} and the two metrics implemented: the masculinity rate of mentions and the proportion of men quoted in online news.

A distillation-based approach integrating continual learning and federated learning for pervasive services

no code implementations9 Sep 2021 Anastasiia Usmanova, François Portet, Philippe Lalanda, German Vega

Federated Learning, a new machine learning paradigm enhancing the use of edge devices, is receiving a lot of attention in the pervasive community to support the development of smart services.

Continual Learning Federated Learning +2

Arcades: A deep model for adaptive decision making in voice controlled smart-home

no code implementations5 Jul 2018 Alexis Brenon, François Portet, Michel Vacher

In a voice-controlled smart-home, a controller must respond not only to user's requests but also according to the interaction context.

Decision Making reinforcement-learning +1

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