The increasing volume of textual information on any topic requires its compression to allow
humans to digest it. This implies detecting the most important information and condensing it …

Microblogging platforms such as Twitter are increasingly used for on-line client and market
analysis. This motivated the proposal of a new track at CLEF INEX lab of Tweet …

Word sense ambiguity has been identified as a cause of poor precision in information
retrieval (IR) systems. Word sense disambiguation and discrimination methods have been …

The use case of the Tweet Contextualization task is the following: given a new tweet,
participating systems must provide some context about the subject of a tweet, in order to …

CLEF Cultural micro-blog Contextualization Workshop is aiming at providing the research
community with data sets to gather, organize and deliver relevant social data related to …

INEX investigates focused retrieval from structured documents by providing large test
collections of structured documents, uniform evaluation measures, and a forum for …

MC2 CLEF 2017 lab deals with how cultural context of a microblog affects its social impact at
large. This involves microblog search, classification, filtering, language recognition …

This paper describes Artex, another algorithm for Automatic Text Summarization. In order to
rank sentences, a simple inner product is calculated between each sentence, a document …

In Automatic Text Summarization, preprocessing is an important phase to reduce the space
of textual representation. Classically, stemming and lemmatization have been widely used …

The INEX QA track aimed to evaluate complex question-answering tasks where answers are
short texts generated from the Wikipedia by extraction of relevant short passages and …