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Génération de question à partir d’analyse sémantique pour l’adaptation non supervisée de modèles de compréhension de documents (Question generation from semantic analysis for unsupervised adaptation of document understanding models)
La génération automatique de questions à partir de textes peut permettre d’obtenir des corpus d’apprentissage pour des modèles de compréhension de documents de type question/réponse sur des textes.
Abstraction ou hallucination ? État des lieux et évaluation du risque pour les modèles de génération de résumés automatiques de type séquence-à-séquence (Abstraction or Hallucination ? Status and Risk assessment for sequence-to-sequence Automatic)
La génération de texte a récemment connu un très fort intérêt au vu des avancées notables dans le domaine des modèles de langage neuronaux.
Question Generation and Answering for exploring Digital Humanities collections
This paper introduces the question answering paradigm as a way to explore digitized archive collections for Social Science studies.
Transfer Learning and Masked Generation for Answer Verbalization
In general, QA systems query a Knowledge Base (KB) to detect and extract the raw answers as final prediction.
Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters
Text generation from Abstract Meaning Representation (AMR) has substantially benefited from the popularized Pretrained Language Models (PLMs).
Cross-lingual and Cross-domain Evaluation of Machine Reading Comprehension with Squad and CALOR-Quest Corpora
Machine Reading received recently a lot of attention thanks to both the availability of very large corpora such as SQuAD or MS MARCO containing triplets (document, question, answer), and the introduction of Transformer Language Models such as BERT which obtain excellent results, even matching human performance according to the SQuAD leaderboard.
CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations
Machine reading comprehension is a task related to Question-Answering where questions are not generic in scope but are related to a particular document.
CALOR-QUEST : un corpus d'entra\^\inement et d'\'evaluation pour la compr\'ehension automatique de textes (Machine reading comprehension is a task related to Question-Answering where questions are not generic in scope but are related to a particular document)
Le but de cette {\'e}tude est de permettre le d{\'e}veloppement de telles ressources pour d{'}autres langues {\`a} moindre co{\^u}t en proposant une m{\'e}thode g{\'e}n{\'e}rant de mani{\`e}re semi-automatique des questions {\`a} partir d{'}une analyse s{\'e}mantique d{'}un grand corpus.
Semantic Frame Parsing for Information Extraction : the CALOR corpus
This paper presents a publicly available corpus of French encyclopedic history texts annotated according to the Berkeley FrameNet formalism.
FrameNet automatic analysis : a study on a French corpus of encyclopedic texts
This article presents an automatic frame analysis system evaluated on a corpus of French encyclopedic history texts annotated according to the FrameNet formalism.
D\'etection d'erreurs dans des transcriptions OCR de documents historiques par r\'eseaux de neurones r\'ecurrents multi-niveau (Combining character level and word level RNNs for post-OCR error detection)
Le traitement {\`a} posteriori de transcriptions OCR cherche {\`a} d{\'e}tecter les erreurs dans les sorties d{'}OCR pour tenter de les corriger, deux t{\^a}ches {\'e}valu{\'e}es par la comp{\'e}tition ICDAR-2017 Post-OCR Text Correction.
Evaluation automatique de la satisfaction client \`a partir de conversations de type ``chat'' par r\'eseaux de neurones r\'ecurrents avec m\'ecanisme d'attention (Customer satisfaction prediction with attention-based RNNs from a chat contact center corpus)
Cet article pr{\'e}sente des m{\'e}thodes permettant l{'}{\'e}valuation de la satisfaction client {\`a} partir de tr{\`e}s vastes corpus de conversation de type {``}chat{''} entre des clients et des op{\'e}rateurs.
Correcting prepositional phrase attachments using multimodal corpora
PP-attachments are an important source of errors in parsing natural language.
Apprentissage d'agents conversationnels pour la gestion de relations clients (Training chatbots for customer relation management)
Ce travail d{\'e}montre la faisabilit{\'e} d{'}entra{\^\i}ner des chatbots sur des traces de conversations dans le domaine de la relation client.
Supervised Term Weighting Metrics for Sentiment Analysis in Short Text
While previous studies have focused on proposing or comparing different weighting metrics at two-classes document level sentiment analysis, this study propose to analyse the results given by each metric in order to find out the characteristics of good and bad weighting metrics.
Fusion d'espaces de repr\'esentations multimodaux pour la reconnaissance du r\^ole du locuteur dans des documents t\'el\'evisuels (Multimodal embedding fusion for robust speaker role recognition in video broadcast )
L{'}identification du r{\^o}le d{'}un locuteur dans des {\'e}missions de t{\'e}l{\'e}vision est un probl{\`e}me de classification de personne selon une liste de r{\^o}les comme pr{\'e}sentateur, journaliste, invit{\'e}, etc.
D\'etection de concepts pertinents pour le r\'esum\'e automatique de conversations par recombinaison de patrons (Relevant concepts detection for the automatic summary of conversations using patterns recombination )
automatique de conversations par recombinaison de patrons J{\'e}r{\'e}my Trione Benoit Favre Fr{\'e}d{\'e}ric B{\'e}chet Aix-Marseille Universit{\'e}, CNRS, LIF UMR 7279, 13000, Marseille, France pr{\'e}nom. nom@lif. univ-mrs. fr R {\'E}SUM{\'E} Ce papier d{\'e}crit une approche pour cr{\'e}er des r{\'e}sum{\'e}s de conversations parl{\'e}es par remplissage de patrons.
Summarizing Behaviours: An Experiment on the Annotation of Call-Centre Conversations
Annotating and predicting behavioural aspects in conversations is becoming critical in the conversational analytics industry.
Sentiment Analysis in Scholarly Book Reviews
So far different studies have tackled the sentiment analysis in several domains such as restaurant and movie reviews.
Automatically enriching spoken corpora with syntactic information for linguistic studies
Syntactic parsing of speech transcriptions faces the problem of the presence of disfluencies that break the syntactic structure of the utterances.
Syntactic annotation of spontaneous speech: application to call-center conversation data
This paper describes the syntactic annotation process of the DECODA corpus.
DECODA: a call-centre human-human spoken conversation corpus
The goal of the DECODA project is to reduce the development cost of Speech Analytics systems by reducing the need for manual annotat ion.
