Machine Learning (ML) techniques have allowed a great performance improvement of
different challenging Spoken Language Understanding (SLU) tasks. Among these methods …

In this paper, we study the impact of dialogue representations and classification methods in
the task of theme identification of telephone conversation services having highly imperfect …

This paper describes a research on topic identification in a realworld customer service
telephone conversations between an agent and a customer. Separate hidden spaces are …

This study proposes a novel unsupervised approach for extracting keywords from Japanese
legal documents by applying knowledge of Japanese syntax. Japanese keywords usually …

Mapping text documents in an LDA-based topic-space is a classical way to extract high-level
representation of text documents. Unfortunately, LDA is highly sensitive to hyper-parameters …

Various studies highlighted that topicbased approaches give a powerful spoken content
representation of documents. Nonetheless, these documents may contain more than one …

This article addresses the problem of automatically extracting legal indices which express
the important contents of legal documents. Legal indices are not limited to single-word …

Performance of Automatic Speech Recognition (ASR) systems drops dramatically when
transcribing conversations recorded in noisy conditions. Speech analytics suffer from this …

In this paper, we present a new approach to learning the classification of questions.
Question classification received interest recently in the context of question answering …

This article presents a method for automatic tagging of Youtube videos. The proposed
method combines an automatic speech recognition (ASR) system, that extracts the spoken …