Publications related to Dimensionality of Dialogue Act Tagsets: An Empirical Analysis of Large Corpora

Answering questions about archived, annotated meetings

Retrieving information from archived meetings is a new domain of information retrieval that has received increasing attention in the past few years. Search in spontaneous spoken conversations has been recognized as more difficult than text-based document r ...

EPFL2009

Constraint Solving for Software Reliability and Text Analysis

Viktor Kuncak

We will develop and implement new algorithms for constraint solving and apply them to construct two classes of tools: 1) bug finding and verification tools building on tools such as Java PathFinder and Jahob; 2) tools for deep semantic analysis of texts co ...

2008

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

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 ...

École Polytechnique Fédérale de Lausanne2008

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. Thisidentifica ...

IDIAP2008

A Thousand Words in a Scene

Daniel Gatica-Perez, Jean-Marc Odobez, Pedro Manuel Da Silva Quelhas

This paper presents a novel approach for visual scene modeling and classification, investigating the combined use of text modeling methods and local invariant features. Our work attempts to elucidate (1) whether a text-like \emph{bag-of-visterms} represent ...

2007

A Thousand Words in a Scene

Daniel Gatica-Perez, Jean-Marc Odobez, Pedro Manuel Da Silva Quelhas

This paper presents a novel approach for visual scene modeling and classification, investigating the combined use of text modeling methods and local invariant features. Our work attempts to elucidate (1) whether a text-like \emph{bag-of-visterms} represent ...

IDIAP2005

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

Pseudo-Syntactic Language Modeling for Disfluent Speech Recognition

Language models for speech recognition are generally trained on text corpora. Since these corpora do not contain the disfluencies found in natural speech, there is a train/test mismatch when these models are applied to conversational speech. In this work w ...

IDIAP2004

Pseudo-Syntactic Language Modeling for Disfluent Speech Recognition

Language models for speech recognition are generally trained on text corpora. Since these corpora do not contain the disfluencies found in natural speech, there is a train/test mismatch when these models are applied to conversational speech. In this work w ...

2004

Dimensionality of Dialogue Act Tagsets: An Empirical Analysis of Large Corpora

Graph Chatbot

Chat with Graph Search

Answering questions about archived, annotated meetings

Constraint Solving for Software Reliability and Text Analysis

Machine learning for information retrieval

Machine Learning for Information Retrieval

Machine Learning for Information Retrieval

A Thousand Words in a Scene

A Thousand Words in a Scene

Thematic Annotation: extracting concepts out of documents

Pseudo-Syntactic Language Modeling for Disfluent Speech Recognition

Pseudo-Syntactic Language Modeling for Disfluent Speech Recognition

Constraint Solving for Software Reliability and Text Analysis

Pseudo-Syntactic Language Modeling for Disfluent Speech Recognition

Answering questions about archived, annotated meetings

Machine Learning for Information Retrieval

A Thousand Words in a Scene

Thematic Annotation: extracting concepts out of documents

Machine learning for information retrieval

A Thousand Words in a Scene

Machine Learning for Information Retrieval

Pseudo-Syntactic Language Modeling for Disfluent Speech Recognition