Jordi Turmo

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Papers by Jordi Turmo

FEMsum at DUC 2006: Semantic-based approach integrated in a flexible eclectic multitask summarizer architecture

Proc. DUC-2006, 2006

In order to face different requirements at TALP Research Center we have built a highly parameteri... more In order to face different requirements at TALP Research Center we have built a highly parameterized environment allowing to instantiate specific summarizers for different summarization tasks in different languages. This paper describes and analyzes how our system deals with the DUC 2006 task of providing summary-length answers to complex questions. The given query is used to detect relevant passages. After that, semantic similarities between these relevant sentences are detected and then used as input of an iterative graph-based algorithm to avoid redundancy and obtain a cohesioned text. NIST human evaluations are used to analyze several aspects of our system and a specific analysis for each of the three different kinds of submitted summaries is reported.

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Summarizing spontaneous speech using general text properties

… Crossing Barriers in …, 2005

In this paper we describe and analyze the performance of a speech summarization prototype based i... more In this paper we describe and analyze the performance of a speech summarization prototype based in classical text summarization techniques, mainly lexical chains. We show that shallow text-oriented techniques are robust enough to identify relevant information and basic units of content in spontaneous speech. Moreover, the performance recovering the most relevant segments does not drop when the input is highly noisy, as in automatic transcripts. Segments from transcripts are extracted taking into account information provided by lexical chains, shallow parsing, collocations and discourse markers. Two different approaches to segmentation are evaluated. In the PreSeg approach, as in classical textual summarizing, the segmentation is part of the preprocessing step, while in the PostSeg approach, summary text segments are found after the detection of relevant document parts.

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Automatic Classification of Geographical Named Entities

… on Language Resources …, 2004

Performing accurate Named Entity (NE) classification (NEC) has recently become a central issue in... more

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Overview of qast 2009-question answering on speech transcriptions

CLEF 2009 Workshop, 2009

Hacia una clasificación verbal automática para el español: estudio sobre la relevancia de los diferentes tipos y configuraciones de información sintáctico-semántica

En este trabajo nos centramos en la adquisicion de clasificaciones verbales automaticas para el e... more En este trabajo nos centramos en la adquisicion de clasificaciones verbales automaticas para el espanol. Para ello realizamos una serie de experimentos con 20 sentidos verbales del corpus Sensem. Empleamos diferentes tipos de atributos que abarcan informacion linguistica diversa y un metodo de clustering jerarquico aglomerativo para generar varias clasificaciones. Comparamos cada una de estas clasificaciones automaticas con un gold standard creado semi-automaticamente teniendo en cuenta construcciones linguisticas propuestas desde la linguistica teorica. Esta comparacion nos permite saber que atributos son mas adecuados para crear de forma automatica una clasificacion coherente con la teoria sobre construcciones y cuales son las similitudes y diferencias entre la clasificacion verbal automatica y la que se basa en la teoria sobre construcciones linguisticas.

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Automatic acquisition of sense examples using exretriever

by german rigau, Jordi Turmo, and Mauro Castillo

IBERAMIA Workshop on …, 2004

A current research line for word sense disambiguation (WSD) focuses on the use of supervised mach... more A current research line for word sense disambiguation (WSD) focuses on the use of supervised machine learning techniques. One of the drawbacks of using such techniques is that previously sense annotated data is required. This paper presents ExRetriever, a new software tool for automatically acquiring large sets of sense tagged examples from large collections of text and the Web. ExRetriever exploits the knowledge contained in large-scale knowledge bases (e.g., WordNet) to build complex queries, each of them characterising particular senses of a word. These examples can be used as training instances for supervised WSD algorithms.

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KNOW2: Language understanding technologies for multilingual domain-oriented information access

by german rigau and Jordi Turmo

Procesamiento de Lenguaje Natural, Sep 30, 2010

Abstract: The goal of the project is to explore integrated environments allowing the cost-effecti... more Abstract: The goal of the project is to explore integrated environments allowing the cost-effective deployment of vertical information access portals for specific domains. The project started in January 2010, and will last three years. Keywords: Natural Language Processing, Syntactic Analysis, Semantic Interpretation, Knowledge Acquisition, Information Extraction, Information Retrieval

by Marta Coll-Florit, Irene Castellon, and Jordi Turmo

Similarity, which plays a key role in fields like cognitive science, psycholinguistics and natura... more Similarity, which plays a key role in fields like cognitive science, psycholinguistics and natural language processing, is a broad and multifaceted concept. In this work we analyse how two approaches that belong to different perspectives, the corpus view and the psycholinguistic view, articulate similarity between verb senses in Spanish. Specifically, we compare the similarity between verb senses based on their argument structure, which is captured through semantic roles, with their similarity defined by word associations. We address the question of whether verb argument structure, which reflects the expression of the events, and word associations, which are related to the speakers’ organization of the mental lexicon, shape similarity between verbs in a congruent manner, a topic which has not been explored previously. While we find significant correlations between verb sense similarities obtained from these two approaches, our findings also highlight some discrepancies between them and the importance of the degree of abstraction of the corpus annotation and psycholinguistic representations.

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Overview of QAST 2008

by Pere R . Comas, Jordi Turmo, and Lori Lamel

Cross-Language Evaluation Forum, 2008

This paper describes the experience of QAST 2008, the second time a pilot track of CLEF has been ... more 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 in English, meetings in English, broadcast news in French and European Parliament debates in English and Spanish).

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Hacia una clasificación verbal automática para el español: estudio sobre la relevancia de los diferentes tipos y configuraciones de información sintáctico-semántica

by Marta Coll-Florit and Jordi Turmo

Linguamática, 2015

En este trabajo nos centramos en la adquisición de clasificaciones verbales automáticas para el e... more En este trabajo nos centramos en la adquisición de clasificaciones verbales automáticas para el español. Para ello realizamos una serie de experimentos con 20 sentidos verbales del corpus Sensem. Empleamos diferentes tipos de atributos que abarcan información lingüística diversa y un método de clustering jerárquico aglomerativo para generar varias clasificaciones. Comparamos cada una de estas clasificaciones automáticas con un gold standard creado semi-automáticamente teniendo en cuenta construcciones lingüísticas propuestas desde la lingüística teórica. Esta comparación nos permite saber qué atributos son más adecuados para crear de forma automática una clasificación coherente con la teoría sobre construcciones y cuales son las similitudes y diferencias entre la clasificación verbal automática y la que se basa en la teoría sobre construcciones lingüísticas.

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In this work we focus on the automatic acquisition of verbal classifications for Spanish. To do so, we perform a series of experiments with 20 verbal senses that belong to the Sensem corpus. We use di↵erent kinds of features that include diverse linguistic information and an agglomerative hierarchical clustering method to generate a number of classifications. We compare each of these automatic classifications with a semi-automatically created gold standard, which is built on the basis of linguistic constructions proposed by theoretical linguistics. This comparison allows us to investigate which features are adequate to build a verb classification coherent with linguistic constructions theory and which are the similarities and di↵erences between an automatic verbal classification and a verb classification based on the theory of linguistic constructions.

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Towards the evaluation of voice-activated question answering systems: Spontaneous questions for QAst 2009

by Pere R . Comas, Paolo Rosso, and Jordi Turmo

This is a preliminary report of the work carried out in order to introduce "spontaneous" question... more This is a preliminary report of the work carried out in order to introduce "spontaneous" questions into QAST at CLEF 2009. QAST (Question Answering in Speech Transcripts) is a track of the CLEF campaign. The aim of this report is to show how difficult can be to generate "spontaneous" questions and the importance to take into account the real information needs of users for the evaluation of question answering systems.

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A Hybrid Approach for the Acquisition of Information Extraction Patterns

by Jordi Turmo and Alicia Ageno

In this paper we present a hybrid approach for the acquisition of syntacticosemantic patterns fro... more In this paper we present a hybrid approach for the acquisition of syntacticosemantic patterns from raw text. Our approach co-trains a decision list learner whose feature space covers the set of all syntactico-semantic patterns with an Expectation Maximization clustering algorithm that uses the text words as attributes. We show that the combination of the two methods always outperforms the decision list learner alone. Furthermore, using a modular architecture we investigate several algorithms for pattern ranking, the most important component of the decision list learner.

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An Adaptable IE System to New Domains

Applied Intelligence, 1999

The most extended way of acquiring information for knowledge based systems is to do it manually. ... more The most extended way of acquiring information for knowledge based systems is to do it manually. However, the high cost of this approach and the availability of alternative Knowledge Sources has lead to an increasing use of automatic acquisition approaches. In this paper we present M-TURBIO, a Text-Based Intelligent System (TBIS) that extracts information contained in restricted-domain documents. The system acquires part of its knowledge about the structure of the documents and the way the information is presented (i.e. syntactic-semantic rules) from a training set of these. Then, a database is created by means of applying these syntactic-semantic rules to extract the information contained in the whole documents.

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TURBIO: A System for Extracting Information from Restricted-Domain Texts

Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1998

The more extended way of acquiring information for knowledge-based systems is manually, frequentl... more

Question Answering on Speech Transcriptions: the QAST evaluation in CLEF

by Lori Lamel, Pere R . Comas, and Jordi Turmo

Language Resources and Evaluation, 2008

This paper reports on the QAST track of CLEF aiming to evaluate Question Answering on Speech Tran... more This paper reports on the QAST track of CLEF aiming to evaluate Question Answering on Speech Transcriptions. Accessing information in spoken documents provides additional challenges to those of text-based QA, needing to address the characteristics of spoken language, as well as errors in the case of automatic transcriptions of spontaneous speech. The framework and results of the pilot QAst evaluation held as part of CLEF 2007 is described, illustrating some of the additional challenges posed by QA in spoken documents relative to written ones. The current plans for future multiple-language and multiple-task QAst evaluations are described.

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Named entity recognition from spontaneous open-domain speech

by Elisabet Comelles and Jordi Turmo

Annual Conference of the International Speech Communication Association, 2005

... MITRE and SAIC, 1999. [3] Kubala, F., Schwartz, R., Stone, R., and Weischedel, R., Named Ent... more

Non-Parametric Document Clustering by Ensemble Methods C lustering No Parametrico de Documentos mediante Metodos de Consenso

by Jordi Turmo and Edgar Gonzàlez

The biases of individual algorithms for non-parametric document clus- tering can lead to non-opti... more The biases of individual algorithms for non-parametric document clus- tering can lead to non-optimal solutions. Ensemble clustering methods may over- come this limitation, but have not been applied to document collections. This paper presents a comparison of strategies for non-parametric document ensemble cluster- ing.

Using dependency parsing and machine learning for factoid question answering on spoken documents

Annual Conference of the International Speech Communication Association, 2010

This paper presents our experiments in question answering for speech corpora. These experiments f... more

Sibyl, a factoid question-answering system for spoken documents

by Pere R . Comas and Jordi Turmo

ACM Transactions on Information Systems, 2000

In this article, we present a factoid question-answering system, Sibyl, specifically tailored for... more 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 written documents to the more difficult spoken document scenario. More specifically, we study new information retrieval (IR) techniques designed or speech, and utilize

The TALP participation at ERD 2014

Proceedings of the first international workshop on Entity recognition & disambiguation - ERD '14, 2014

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