Search Results for author:
Found 9 papers, 0 papers with code
LDApol: vers une méthodologie de contextualisation des discours politiques (LDApol : towards a methodology of political speech contextualisation )
Nous comparons les distributions de mots dans les communiqués de presse politiques récents.
Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding)
In this paper we define the concept of Interestingness as a generalization of Informativeness, whereby the information need is diverse and formalized as an unknown set of implicit queries.
Audio Summarization with Audio Features and Probability Distribution Divergence
Our method, based on an extractive summarization approach, aims to select the most relevant segments until a time threshold is reached.
Intweetive Text Summarization
The amount of user generated contents from various social medias allows analyst to handle a wide view of conversations on several topics related to their business.
Étude de l'informativité des transcriptions : une approche basée sur le résumé automatique
In this paper we propose a new approach to evaluate the informativeness of transcriptions coming from Automatic Speech Recognition systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Extending Automatic Discourse Segmentation for Texts in Spanish to Catalan
In this article we present the first discourse segmenter for texts in Catalan.
Investigating the Image of Entities in Social Media: Dataset Design and First Results
The objective of this paper is to describe the design of a dataset that deals with the image (i. e., representation, web reputation) of various entities populating the Internet: politicians, celebrities, companies, brands etc.
