Learn More
The LIMSI ARISE system provides vocal access to rail travel information for main French intercity connections, including timetables, simulated fares and reservations, reductions and services. Our goal is to obtain high dialog success rates with a very open structure, where the user is free to ask any question or to provide any information at any point in(More)
This paper relates some of our experiments on the possibility of predictive performance measures of dialog systems. Experimenting dialog systems is often a very high cost procedure due to the necessity to carry out user trials. Obviously it is advantageous when evaluation can be carried out automatically. It would be helpfull if for each application we were(More)
Within the framework of the construction of a fact database, we defined guidelines to extract named entities, using a taxonomy based on an extension of the usual named entities definition. We thus defined new types of entities with broader coverage including substantive-based expressions. These extended named entities are hierarchical (with types and(More)
We present in this paper the three LIMSI question-answering systems on speech transcripts which participated to the QAst 2009 evaluation. These systems are based on a complete and multi-level analysis of both queries and documents. These systems use an automatically generated research descriptor. A score based on those descriptors is used to select(More)
We focus in this paper on the named entity recognition task in spoken data. The proposed approach investigates the use of various contexts of the words to improve recognition. Experimental results carried out on speech data from French broadcast news, using conditional random fields (CRF) show that the use of semantic information, generated using symbolic(More)
Dialog management is of particular importance in telephone-based services. In this paper we describe our recent activities in dialog management and natural language generation in the LIMSI RAIL-TEL system for access to rail travel information. The aim of LE-MLAP project RAILTEL was to assess the capabilities of spoken language technology for interactive(More)
In the context of the LE-3 ARISE project we have been developing a dialog system for vocal access to rail travel information. The system provides schedule information for the main French intercity connections, as well as, simulated fares and reservations, reductions and services. Our goal is to obtain high dialog success rates with a very open dialog(More)