Publication

From scattered sources to comprehensive technology landscape : A recommendation-based retrieval approach

Related publications (39)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

TweetSpector: Entity-based retrieval of Tweets

Karl Aberer, Zoltán Miklós, Surender Reddy Yerva, Flavia Adelina Grosan, Alexandru Octavian Tandrau

People readily express their opinions about the various products, companies, TV shows etc., on Twitter. These tweet messages are thus a rich source of information that can be exploited to understand the sentiments about the concerned products or services. ...

2012

Selection and Aggregation of Ranking Criteria for Retrieval from Scientific Publication Databases

Martin Veselý

Selection and aggregation of ranking criteria became an important topic in information retrieval as search is getting more specialized and as volume of electronically available information grows. In this context, document ranking has undergone a shift from ...

EPFL2012

Quality-aware similarity assessment for entity matching in Web data

Karl Aberer, Zoltán Miklós, Surender Reddy Yerva

One of the key challenges to realize automated processing of the information on the Web, which is the central goal of the Semantic Web, is related to the entity matching problem. There are a number of tools that reliably recognize named entities, such as p ...

Wiley-Blackwell2012

Arabic Entity Graph Extraction Using Morphology, Finite State Machines, and Graph Transformations

Hamza Harkous

Research on automatic recognition of named entities from Arabic text uses techniques that work well for the Latin based languages such as local grammars, statistical learning models, pattern matching, and rule-based techniques. These techniques boost their ...

2012

Answering questions about archived, annotated meetings

Marita Ailomaa

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

idMesh: graph-based disambiguation of linked data

Karl Aberer, Philippe Cudré-Mauroux, Parisa Haghani, Michael Jost

We tackle the problem of disambiguating entities on the Web. We propose a user-driven scheme where graphs of entities -- represented by globally identifiable declarative artifacts -- self-organize in a dynamic and probabilistic manner. Our solution has the ...

ACM2009

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

Machine learning approaches to text representation using unlabeled data

Mikaela Keller

With the rapid expansion in the use of computers for producing digitalized textual documents, the need of automatic systems for organizing and retrieving the information contained in large databases has become essential. In general, information retrieval s ...

EPFL2008