Французский корпус

A two-tier model for the description of morphologi- cal, syntactic and semantic variations of multi-word terms is presented. It is applied to term normal- ization of French and English corpora …...

We present a general model for PP attach- ment resolution and NP analysis in French. We make explicit the different assumptions our model relies on, and show how it gener- …...

AbstractThe annotation of causal relations in natural language texts can lead to a low inter-annotator agreement. A French corpus annotated with causal relations would be helpful for the evaluation of …...

AbstractWithin the general purpose of information extraction, detection of event descriptions is often an important clue. An important characteristic of event designation in texts, and especially in media, is that …...

Distant Speech Recognition in a Smart Home : Comparison of Several Multisource ASRs in Realistic Conditions While the smart home domain has become a major field of application of ICT …...

AbstractThe Asfalda project aims to develop a French corpus with frame-based semantic annotations and automatic tools for shallow semantic analysis. We present the first part of the project: focusing on …...

AbstractWe present DisMo, a multi-level annotator for spoken language corpora that integrates part-of-speech tagging with basic disfluency detection and annotation, and multi-word unit recognition. DisMo is a hybrid system that …...

This paper presents a knowledge base containing triples involving pairs of verbs associated with semantic or discourse relations. The relations in these triples are marked by discourse connectors between two …...

AbstractThis paper investigates the effectiveness of 65 cohesion-based variables that are commonly used in the literature as predictive features to assess text readability. We evaluate the efficiency of these variables …...

AbstractWe present a large, free, French corpus of online written conversations extracted from the Ubuntu platform’s forums, mailing lists and IRC channels. The corpus is meant to support multi-modality and …...

AbstractModern Natural Language Processing relies on the availability of annotated corpora for training and evaluating models. Such resources are scarce, especially for specialized domains in languages other than English. In …...