no code implementations • LREC 2020 • Salima Mdhaffar, Yannick Est{\`e}ve, Antoine Laurent, Hern, Nicolas ez, Richard Dufour, Delphine Charlet, Geraldine Damnati, Solen Quiniou, Nathalie Camelin
The use cases concern scientific fields from both speech and text processing, with language model adaptation, thematic segmentation and transcription to slide alignment.
no code implementations • RANLP 2019 • Amir Hazem, Hern, Nicolas ez
In this paper, we introduce the concept of disruption which we define as a side effect of the training process of embedding models.
no code implementations • RANLP 2019 • Amir Hazem, Hern, Nicolas ez
In this paper, we propose a systematic study of the impact of the main word embedding models on sentence representation.
no code implementations • JEPTALNRECITAL 2019 • Salima Mdhaffar, Yannick Est{\`e}ve, Hern, Nicolas ez, Antoine Laurent, Solen Quiniou
Les transcriptions automatiques de ces syst{\`e}mes sont de plus en plus exploitables et utilis{\'e}es dans des syst{\`e}mes complexes de traitement automatique du langage naturel, par exemple pour la traduction automatique, l{'}indexation, la recherche documentaire... Des {\'e}tudes r{\'e}centes ont propos{\'e} des m{\'e}triques permettant de comparer la qualit{\'e} des transcriptions automatiques de diff{\'e}rents syst{\`e}mes en fonction de la t{\^a}che vis{\'e}e. Dans cette {\'e}tude nous souhaitons mesurer, qualitativement, l{'}apport de l{'}adaptation automatique des mod{\`e}les de langage au domaine vis{\'e} par un cours magistral.
no code implementations • COLING 2018 • Nikita Bhutani, Kun Qian, Yunyao Li, H. V. Jagadish, Hern, Mauricio ez, Mitesh Vasa
We show that programs for mapping entity mentions to their structures can be automatically generated using human-comprehensible labels.
no code implementations • JEPTALNRECITAL 2018 • Basma El Amel Boussaha, Hern, Nicolas ez, Christine Jacquin, Emmanuel Morin
En se basant sur la similarit{\'e} s{\'e}mantique entre le contexte et la r{\'e}ponse, notre approche apprend {\`a} mieux distinguer les bonnes r{\'e}ponses des mauvaises.
no code implementations • RANLP 2017 • Amir Hazem, Basma El Amel Boussaha, Hern, Nicolas ez
Since the advent of word embedding methods, the representation of longer pieces of texts such as sentences and paragraphs is gaining more and more interest, especially for textual similarity tasks.
no code implementations • WS 2017 • Wen-wai Yim, Dario Tedesco, Catherine Curtin, Hern, Tina ez-Boussard
Pain and anesthesia information are crucial elements to identifying surgery-related processes and outcomes.
no code implementations • SEMEVAL 2017 • Hern, Simon David ez, Davide Buscaldi, Thierry Charnois
This paper describes the system used by the team LIPN in SemEval 2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications.
1 code implementation • WS 2017 • Daniel Braun, Hern, Adrian ez Mendez, Florian Matthes, Manfred Langen
Conversational interfaces recently gained a lot of attention.
no code implementations • JEPTALNRECITAL 2016 • Soufian Salim, Hern, Nicolas ez, Emmanuel Morin
D{'}autres exp{\'e}riences sont d{\'e}taill{\'e}es, et nous rapportons les r{\'e}sultats obtenus avec diff{\'e}rentes approches et diff{\'e}rents traits sur les diff{\'e}rentes parties de notre corpus multimodal.
no code implementations • LREC 2016 • Johann Poignant, Mateusz Budnik, Herv{\'e} Bredin, Claude Barras, Mickael Stefas, Pierrick Bruneau, Gilles Adda, Laurent Besacier, Hazim Ekenel, Gil Francopoulo, Hern, Javier o, Joseph Mariani, Ramon Morros, Georges Qu{\'e}not, Sophie Rosset, Thomas Tamisier
In this paper, we describe the organization and the implementation of the CAMOMILE collaborative annotation framework for multimodal, multimedia, multilingual (3M) data.
no code implementations • LREC 2016 • Hern, Nicolas ez, Soufian Salim, Elizaveta Loginova Clouet
We present a large, free, French corpus of online written conversations extracted from the Ubuntu platform{'}s forums, mailing lists and IRC channels.
no code implementations • LREC 2012 • Hern, Nicolas ez
And we propose a component to wrap command lines third party tools and a set of components to connect various markup languages with the UIMA data structure.