Richard Dufour

发表

Graph-Based Features for Automatic Online Abuse Detection

Georges Linarès, Richard Dufour, Vincent Labatut, 2017, SLSP.

A topic-based approach for post-processing correction of automatic translations

Mohamed Morchid, Richard Dufour, Mohamed Morchid, 2014, IWSLT.

PERCOLI: A Person Identification System for the 2013 REPERE Challenge

Georges Linarès, Pierre Tirilly, Stéphane Ayache, 2013, SLAM@INTERSPEECH.

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations

Subhash Chandra Pujari, Richard Dufour, N. Sivadasan, 2022, ArXiv.

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations

Subhash Chandra Pujari, Richard Dufour, N. Sivadasan, 2022, Database J. Biol. Databases Curation.

Getting by with a Little Help from the Crowd : Optimal Human Computation Approaches to Social Image Labeling

Jonathon S. Hare, Mohamed Morchid, Richard Dufour, 2014 .

Conversational Networks for Automatic Online Moderation

Georges Linarès, Richard Dufour, Vincent Labatut, 2019, IEEE Transactions on Computational Social Systems.

Transcription automatique de la parole spontanée

Richard Dufour, Richard Dufour, R. Dufour, 2010 .

Feature selection using Principal Component Analysis for massive retweet detection

Mohamed Morchid, Georges Linarès, Richard Dufour, 2014, Pattern Recognit. Lett..

LIA @ MediaEval 2013 Spoken Web Search Task: An I-Vector based Approach

Mohamed Morchid, Georges Linarès, Driss Matrouf, 2013, MediaEval.

Qualitative Evaluation of ASR Adaptation in a Lecture Context: Application to the PASTEL Corpus

Yannick Estève, Antoine Laurent, Nicolas Hernandez, 2019, INTERSPEECH.

Tracking dialog states using an Author-Topic based representation

Titouan Parcollet, Mohamed Morchid, Richard Dufour, 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).

Automatic Text Summarization Approaches to Speed up Topic Model Learning Process

Mohamed Morchid, Georges Linarès, Richard Dufour, 2016, Int. J. Comput. Linguistics Appl..

Impact of Word Error Rate on theme identification task of highly imperfect human-human conversations

Mohamed Morchid, Georges Linarès, Richard Dufour, 2016, Comput. Speech Lang..

A comparison of normalization techniques applied to latent space representations for speech analytics

Mohamed Morchid, Driss Matrouf, Richard Dufour, 2015, INTERSPEECH.

A TOPIC MODELING BASED REPRESENTATION TO DETECT TWEET LOCATIONS. EXAMPLE OF THE EVENT ”JE SUIS CHARLIE”

Mohamed Morchid, Georges Linarès, Eitan Altman, 2015 .

Compact Multiview Representation of Documents Based on the Total Variability Space

Mohamed Morchid, Georges Linarès, Renato De Mori, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Author-topic based representation of call-center conversations

Mohamed Morchid, Georges Linarès, Richard Dufour, 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).

A Combined Thematic and Acoustic Approach for a Music Recommendation Service in TV Commercials

Mohamed Morchid, G. Linarès, Richard Dufour, 2014, ISMIR.

An I-vector Based Approach to Compact Multi-Granularity Topic Spaces Representation of Textual Documents

Mohamed Morchid, Georges Linarès, Renato De Mori, 2014, EMNLP.

Improving dialogue classification using a topic space representation and a Gaussian classifier based on the decision rule

Mohamed Morchid, Georges Linarès, Renato De Mori, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Theme identification in human-human conversations with features from specific speaker type hidden spaces

Mohamed Morchid, Georges Linarès, Renato De Mori, 2014, INTERSPEECH.

A LDA-based Topic Classification Approach from highly Imperfect Automatic Transcriptions

Mohamed Morchid, Georges Linarès, Richard Dufour, 2014, LREC.

Thematic Representation of Short Text Messages with Latent Topics: Application in the Twitter context

Mohamed Morchid, Georges Linarès, Richard Dufour, 2012 .

Person name recognition in ASR outputs using continuous context models

Georges Linarès, Richard Dufour, Corinne Fredouille, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Combining acoustic name spotting and continuous context models to improve spoken person name recognition in speech

Georges Linarès, Richard Dufour, Corinne Fredouille, 2013, INTERSPEECH.

Latent Topic Model Based Representations for a Robust Theme Identification of Highly Imperfect Automatic Transcriptions

Mohamed Morchid, Georges Linarès, Richard Dufour, 2015, CICLing.

An Author-Topic based Approach to Cluster Tweets and Mine their Location☆

Mohamed Morchid, Georges Linarès, Eitan Altman, 2015 .

LIA@RepLab 2013

Mohamed Morchid, Ludovic Bonnefoy, Juan-Manuel Torres-Moreno, 2013, CLEF.

Event detection from image hosting services by slightly-supervised multi-span context models

Mohamed Morchid, Georges Linarès, Richard Dufour, 2013, 2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI).

Text revision in Scientific Writing Assistance: An Overview

Richard Dufour, Nicolas Hernandez, Florian Boudin, 2023, arXiv.org.

Jean-François Bonastre, Richard Dufour, Vincent Labatut, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Apprentissage automatique de représentation de voix à l’aide d’une distillation de la connaissance pour le casting vocal (Learning voice representation using knowledge distillation for automatic voice casting )

Richard Dufour, Mathias Quillot, Adrien Gresse, 2020, JEPTALNRECITAL.

Topic-space based setup of a neural network for theme identification of highly imperfect transcriptions

Mohamed Morchid, Georges Linarès, Richard Dufour, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Initialisation de Réseaux de Neurones à l’aide d’un Espace Thématique

Mohamed Morchid, Georges Linarès, Richard Dufour, 2015, JEPTALNRECITAL.

Getting by with a Little Help from the Crowd: Practical Approaches to Social Image Labeling

Mohamed Morchid, Martha Larson, Michael Riegler, 2014, CrowdMM '14.

Detection of abusive messages in an on-line community

Georges Linarès, Richard Dufour, Vincent Labatut, 2017, CORIA.

Review of different robust x-vector extractors for speaker verification

Richard Dufour, Mickael Rouvier, Pierre-Michel Bousquet, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks

Richard Dufour, Mickael Rouvier, Yanis Labrak, 2023, ArXiv.

DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains

Richard Dufour, B. Daille, P. Gourraud, 2023, bioRxiv.

Team LIA/LS2N at BioCreative VII LitCovid Track: Multi-label Document Classification for COVID-19 Literature using Keyword Based Enhancement and Few-Shot Learning

Richard Dufour, Yanis Labrak, 2022 .

Characterizing and Predicting Bursty Events: The Buzz Case Study on Twitter

Mohamed Morchid, Georges Linarès, Richard Dufour, 2014, LREC.

Apprendre la guitare sur YouTube

Richard Dufour, Raphaël Roth, 2020, Partage, échange, contribution, participation (Partie II).

Automatic error region detection and characterization in LVCSR transcriptions of TV news shows

Delphine Charlet, Géraldine Damnati, Richard Dufour, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Some recent research work at LIUM based on the use of CMU Sphinx

Fethi Bougares, Holger Schwenk, Loïc Barrault, 2010 .

Systèmes du LIA à DEFT'13 pdf

Mohamed Morchid, Richard Dufour, Jean-Valère Cossu, 2013, ArXiv.

The Role of Global and Local Context in Named Entity Recognition

Vincent Labatut, Richard Dufour, Arthur Amalvy, 2023, ACL.

Remplacement de mentions pour l’adaptation d’un corpus de reconnaissance d’entités nommées à un domaine cible (Mention replacement for adapting a named entity recognition dataset to a target domain)

Vincent Labatut, Richard Dufour, Arthur Amalvy, 2022, JEPTALNRECITAL.

Graph Embeddings for Abusive Language Detection pdf

Richard Dufour, Vincent Labatut, No'e Cecillon, 2021, SN Computer Science.

Tuning Graph2vec with Node Labels for Abuse Detection in Online Conversations (extended abstract)

Georges Linarès, Richard Dufour, Vincent Labatut, 2020, MARAMI.

Data Augmentation for Robust Character Detection in Fantasy Novels

Vincent Labatut, Richard Dufour, Arthur Amalvy, 2023, ArXiv.

FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain

Richard Dufour, B. Daille, P. Gourraud, 2023, LOUHI.

LIA@CLEF 2018: Mining Events Opinion Argumentation from Raw Unlabeled Twitter Data using Convolutional Neural Network

Mickael Rouvier, Richard Dufour, Damien Malinas, 2018, CLEF.

ANTILLES: An Open French Linguistically Enriched Part-of-Speech Corpus

Richard Dufour, Yanis Labrak, 2022, TSD.

Quaternion Neural Networks for Spoken Language Understanding

Titouan Parcollet, Mohamed Morchid, Georges Linarès, 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).