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Keyword Extraction and Clustering for Document Recommendation in Conversations

Related publications (32)

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ClusterRank: A Graph Based Method for Meeting Summarization

Nikhil Garg

This paper presents an unsupervised, graph based approach for extractive summarization of meetings. Graph based methods such as TextRank have been used for sentence extraction from news articles. These methods model text as a graph with sentences as nodes ...

Isca-Inst Speech Communication Assoc, C/O Emmanuelle Foxonet, 4 Rue Des Fauvettes, Lieu Dit Lous Tourils, Baixas, F-66390, France2009

Machine learning for information retrieval

David Grangier

In this thesis, we explore the use of machine learning techniques for information retrieval. More specifically, we focus on ad-hoc retrieval, which is concerned with searching large corpora to identify the documents relevant to user queries. This identific ...

EPFL2008

Machine Learning for Information Retrieval

David Grangier

École Polytechnique Fédérale de Lausanne2008

Machine Learning for Information Retrieval

David Grangier

IDIAP2008

Error-Related EEG Potentials in Brain-Computer Interfaces

José del Rocio Millán Ruiz, Pierre Ferrez

Brain-computer interfaces (BCI), as any other interaction modality based on physiological signals and body channels (e.g., muscular activity, speech and gestures), are prone to errors in the recognition of subject's intent. An elegant approach to improve t ...

The MIT Press2007

Towards using slide information to enhance speech transcription of meetings

Hervé Bourlard, Artem Peregoudov, Alessandro Vinciarelli

In this paper we investigate the possibility of improving the speech recognition performance of meeting recordings by using slides captured during the recording process. The key hypothesis exploited in this work is that both slides and speech carry correla ...

IDIAP2006

Thematic Annotation: extracting concepts out of documents

Martin Rajman

Semantic document annotation may be useful for many tasks. In particular, in the framework of the MDM project(http://www.issco.unige.ch/projects/im2/mdm/), topical annotation -- i.e. the annotation of document segments with tags identifying the topics disc ...

2004

PLSA-based Image Auto-Annotation: Constraining the Latent Space

Daniel Gatica-Perez, Florent Monay Michaud

We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming equal relevance for the text and visual modalities, we propose a new way of m ...

2004

PLSA-based Image Auto-Annotation: Constraining the Latent Space

Daniel Gatica-Perez, Florent Monay Michaud

IDIAP2004

Thematic Indexing of Spoken Documents by Using Self-Organizing Maps

A method is presented to provide a useful searchable index for spoken audio documents. The task differs from the traditional (text) document indexing, because large audio databases are decoded by automatic speech recognition and decoding errors occur frequ ...

IDIAP2000