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The language used in social media is often characterized by the abundance of informal and non-standard writing. The normalization of this non-standard language can be crucial to facilitate the subsequent textual processing and to consequently help boost ...

TextServer is an efficient language analysis platform which offers a variety of robust NLP services for a wide range of languages. Services can be easily accessed via a web interface, where document collections can either be uploaded and sent to batch ...

Cluster analysis lies at the core of most unsupervised learning tasks. However, the majority of clustering algorithms depend on the all-in assumption, in which all objects belong to some cluster, and perform poorly on minority clustering tasks, in which ...

This document describes the work performed by the TALP Research Center, UPC in its first participation at ERD 2014 short text evaluation track. The objective of this evaluation track is to recognize mentions of entities in a given short text, ...

This work is focused on research in machine learning for coreference resolution. Coreference resolution is a natural language processing task that consists of determining the expressions in a discourse that refer to the same entity.

The main ...

In this article, we present a factoid question-answering system, Sibyl, specifically tailored for question answering (QA) on spoken-word documents. This work explores, for the first time, which techniques can be robustly adapted from the usual QA on ...

This paper describes the participation of RelaxCor in the CoNLL-2011 shared task: "Modeling Unrestricted Coreference in Ontonotes". RELAXCOR is a constraint-based graph partitioning approach to coreference resolution solved by relaxation labeling. The ...

This paper presents a constraint-based graph partitioning approach to coreference resolution solved by relaxation labeling. The approach combines the strengths of groupwise classifiers and chain formation methods in one global method. Experiments show ...

This paper describes the participation of RelaxCor in the Semeval-2010 task number 1: "Coreference Resolution in Multiple Languages". RelaxCor is a constraint-based graph partitioning approach to coreference resolution solved by relaxation labeling. The ...

The goal of Information Extraction is to automatically generate structured pieces of information from the relevant information contained in text documents. Machine Learning techniques have been applied to reduce the cost of Information Extraction system ...

This paper describes the participation of the Technical University of Catalonia in the CLEF 2009 Question Answering on Speech Transcripts track. We have participated in the English and Spanish scenarios of QAST. For both manual and automatic transcripts ...

This paper describes the experience of QAST 2009, the third time a pilot track of CLEF has been held aiming to evaluate the task of Question Answering in Speech Transcripts. Four sites submitted results for at least one of the three scenarios (European ...

We present a semi-supervised (bootstrapping) approach to the extraction of time expression mentions in large unlabelled corpora. Because the only supervision is in the form of seed examples, it becomes necessary to resort to heuristics to rank and ...

This paper describes the participation of the Technical University of Catalonia in the CLEF 2008 Question Answering on Speech Transcripts track. We have participated in the English and Spanish scenarios of QAst. For the processing of manual transcripts ...

This paper describes the experience of QAST 2008, the second time a pilot track of CLEF has been held aiming to evaluate the task of Question Answering in Speech Transcripts. Five sites submitted results for at least one of the five scenarios (lectures ...

This paper presents a new approach to spoken document information retrieval for spontaneous speech corpora. The classical approach to this problem is the use of an automatic speech recognizer (ASR) combined with standard information retrieval techniques. ...

This paper presents a method for Entity Disambiguation in Information Extraction from different sources in the web. Once entities and relations between them are extracted, it is needed to determine which ones are referring to the same real-world entity. ...

The biases of individual algorithms for non-parametric document clustering can lead to non-optimal solutions. Ensemble clustering methods may overcome this limitation, but have not been applied to document collections. This paper presents a comparison of ...

This paper describes the participation of the Technical University of Catalonia in the CLEF 2007 Question Answering on Speech Transcripts track. For the processing of manual transcripts we have deployed a robust factual Question Answering that uses ...

This paper describes QAST, a pilot track of CLEF 2007 aimed at evaluating the task of Question Answering in Speech Transcripts. The paper summarizes the evaluation framework, the systems that participated and the results achieved. These results have ...