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Found 27 papers, 0 papers with code
Chunk Different Kind of Spoken Discourse: Challenges for Machine Learning
The methodology considers the specific character of the spoken data.
Mod\'elisation des processus d'acquisition syntaxique par jeux de langage entre agents artificiels (Modeling Syntactic Acquisition by Language Games between Artificial Agents )
Dans cet article, nous pr{\'e}sentons une mod{\'e}lisation de la situation d{'}acquisition de la syntaxe de sa langue maternelle par un enfant inspir{\'e}e des {``}jeux de langages{''} de Luc Steels.
Exploring Vector Spaces for Semantic Relations
Word embeddings are used with success for a variety of tasks involving lexical semantic similarities between individual words.
Effective Spoken Language Labeling with Deep Recurrent Neural Networks
Understanding spoken language is a highly complex problem, which can be decomposed into several simpler tasks.
Label-Dependencies Aware Recurrent Neural Networks
In this work we propose a solution far simpler but very effective: an evolution of the simple Jordan RNN, where labels are re-injected as input into the network, and converted into embeddings, in the same way as words.
R\'eseaux neuronaux profonds pour l'\'etiquetage de s\'equences (Deep Neural Networks for Sequence Labeling)
R{\'e}cemment, une variante de r{\'e}seau neuronal particuli{\`e}rement adapt{\'e} {\`a} l{'}{\'e}tiquetage de s{\'e}quences textuelles a {\'e}t{\'e} propos{\'e}e, utilisant des repr{\'e}sentations distributionnelles des {\'e}tiquettes.
Apports des analyses syntaxiques pour la d\'etection automatique de mentions dans un corpus de fran\ccais oral (Experiences in using deep and shallow parsing to detect entity mentions in oral French)
Cet article pr{\'e}sente trois exp{\'e}riences de d{\'e}tection de mentions dans un corpus de fran{\c{c}}ais oral : ANCOR.
D\'etection des mots non-standards dans les tweets avec des r\'eseaux de neurones (Detecting non-standard words in tweets with neural networks)
Dans cet article, nous proposons un mod{\`e}le pour d{\'e}tecter dans les textes g{\'e}n{\'e}r{\'e}s par des utilisateurs (en particulier les tweets), les mots non-standards {\`a} corriger.
D\'etection et classification non supervis\'ees de relations s\'emantiques dans des articles scientifiques (Unsupervised Classification of Semantic Relations in Scientific Papers)
Une analyse manuelle nous a permis de proposer une typologie des relations s{\'e}mantiques, et de classifier un {\'e}chantillon d{'}instances de relations.
\'Etude des r\'eseaux de neurones r\'ecurrents pour \'etiquetage de s\'equences (A study of Recurrent Neural Networks for Sequence Labelling)
Dans cet article nous {\'e}tudions plusieurs types de r{\'e}seaux neuronaux r{\'e}currents (RNN) pour l{'}{\'e}tiquetage de s{\'e}quences.
Improving Recurrent Neural Networks For Sequence Labelling
In this paper we study different types of Recurrent Neural Networks (RNN) for sequence labeling tasks.
Semantic Annotation of the ACL Anthology Corpus for the Automatic Analysis of Scientific Literature
This paper describes the process of creating a corpus annotated for concepts and semantic relations in the scientific domain.
Domain Adaptation for Named Entity Recognition Using CRFs
We explain the specificities of this corpus with examples and describe some baseline experiments.
Apprentissage automatique d'un mod\`ele de r\'esolution de la cor\'ef\'erence \`a partir de donn\'ees orales transcrites du fran\ccais : le syst\`eme CROC
Cet article pr{\'e}sente CROC 1 (Coreference Resolution for Oral Corpus), un premier syst{\`e}me de r{\'e}solution des cor{\'e}f{\'e}rences en fran{\c{c}}ais reposant sur des techniques d{'}apprentissage automatique.
Analyse syntaxique de l'ancien fran\ccais : quelles propri\'et\'es de la langue influent le plus sur la qualit\'e de l'apprentissage ?
L{'}article pr{\'e}sente des r{\'e}sultats d{'}exp{\'e}riences d{'}apprentissage automatique pour l{'}{\'e}tiquetage morpho-syntaxique et l{'}analyse syntaxique en d{\'e}pendance de l{'}ancien fran{\c{c}}ais.
Macrosyntactic Segmenters of a French Spoken Corpus
The aim of this paper is to describe an automated process to segment spoken French transcribed data into macrosyntactic units.
Evaluating the Impact of External Lexical Resources into a CRF-based Multiword Segmenter and Part-of-Speech Tagger
This paper evaluates the impact of external lexical resources into a CRF-based joint Multiword Segmenter and Part-of-Speech Tagger.
