Rafael Muñoz

ORCID: 0000-0001-8127-9012
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About
Contact & Profiles
Research Areas
  • Natural Language Processing Techniques
  • Topic Modeling
  • Semantic Web and Ontologies
  • Speech and dialogue systems
  • Advanced Text Analysis Techniques
  • Sentiment Analysis and Opinion Mining
  • Web Data Mining and Analysis
  • Text Readability and Simplification
  • Image Retrieval and Classification Techniques
  • Authorship Attribution and Profiling
  • Biomedical Text Mining and Ontologies
  • Advanced Image and Video Retrieval Techniques
  • E-Learning and Knowledge Management
  • Service-Oriented Architecture and Web Services
  • Spanish Linguistics and Language Studies
  • Engineering and Information Technology
  • Linguistic Studies and Language Acquisition
  • Communication and COVID-19 Impact
  • Spam and Phishing Detection
  • Health and Medical Studies
  • Cultural and political discourse analysis
  • Aging, Health, and Disability
  • Data Quality and Management
  • Academic integrity and plagiarism
  • Data Management and Algorithms

University of Alicante
2013-2024

Universidad de Jaén
2023

Universidad Europea
2016-2018

Software (Spain)
2011-2017

University of Matanzas
2014

This paper presents a multi-layered Question Answering (Q.A.) architecture suitable for enhancing current Q.A. capabilities with the possibility of processing complex questions. That is, questions whose answer needs to be gathered from pieces factual information scattered in different documents. Specifically, we have designed layer oriented process types temporal Complex are first decomposed into simpler ones, according relationships expressed original question.In same way, answers each...

10.3115/1218955.1219027 article EN 2004-01-01

Student participation and the use of active methodologies in classroom learning are being increasingly emphasized. The intelligent systems can be great help when designing developing these types activities. Recently, emerging disciplines such as 'educational data mining' 'learning analytics knowledge' have provided clear examples importance artificial intelligence techniques education.The main objective this study was to gather expert opinions regarding benefits using complementary methods...

10.1016/j.ijmedinf.2017.12.016 article EN cc-by-nc-nd International Journal of Medical Informatics 2017-12-23

This paper presents an algorithm for identifying noun phrase antecedents of third person personal pronouns, demonstrative reflexive and omitted pronouns (zero pronouns) in unrestricted Spanish texts. We define a list constraints preferences different types pronominal expressions, we document detail the importance each kind knowledge (lexical, morphological, syntactic, statistical) anaphora resolution Spanish. The also provides definition syntactic conditions on NP-pronoun noncoreference...

10.1162/089120101753342662 article EN Computational Linguistics 2001-12-01

This paper presents how text summarization can be influenced by textual entailment. We show that if we use entailment recognition together with approach, achieve good results for final summaries, obtaining an improvement of 6.78% respect to the approach only. also compare performance this combined two baselines (the one provided in DUC 2002 and ours based on word-frequency technique) discuss preliminary obtained order infer conclusions useful future research.

10.5220/0001732100220031 article EN 2008-01-01

This paper presents a multilayered architecture that enhances the capabilities of current QA systems and allows different types complex questions or queries to be processed. The answers these need gathered from factual information scattered throughout documents. Specifically, we designed specialized layer process temporal questions. Complex are first decomposed into simple questions, according relations expressed in original question. In same way, resulting recomposed, fulfilling...

10.1613/jair.2805 article EN publisher-specific-oa Journal of Artificial Intelligence Research 2009-08-28

The textual entailment recognition system that we discuss in this paper represents a perspective-based approach composed of two modules analyze text-hypothesis pairs from strictly lexical and syntactic perspectives, respectively. We attempt to prove the task can be overcome by performing individual analysis acknowledges us maximum amount information each single perspective provide. compare with presented previous edition PASCAL Recognising Textual Entailment Challenge, obtaining an accuracy...

10.3115/1654536.1654551 article EN 2007-01-01

10.1016/j.datak.2005.05.011 article EN Data & Knowledge Engineering 2005-07-19

10.1016/j.jbi.2019.103172 article EN publisher-specific-oa Journal of Biomedical Informatics 2019-04-06
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