Manuel Palomar

Also published as: M. Palomar


2023

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A Review of Research-Based Automatic Text Simplification Tools
Isabel Espinosa-Zaragoza | José Abreu-Salas | Elena Lloret | Paloma Moreda | Manuel Palomar
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing

In the age of knowledge, the democratisation of information facilitated through the Internet may not be as pervasive if written language poses challenges to particular sectors of the population. The objective of this paper is to present an overview of research-based automatic text simplification tools. Consequently, we describe aspects such as the language, language phenomena, language levels simplified, approaches, specific target populations these tools are created for (e.g. individuals with cognitive impairment, attention deficit, elderly people, children, language learners), and accessibility and availability considerations. The review of existing studies covering automatic text simplification tools is undergone by searching two databases: Web of Science and Scopus. The eligibility criteria involve text simplification tools with a scientific background in order to ascertain how they operate. This methodology yielded 27 text simplification tools that are further analysed. Some of the main conclusions reached with this review are the lack of resources accessible to the public, the need for customisation to foster the individual’s independence by allowing the user to select what s/he finds challenging to understand while not limiting the user’s capabilities and the need for more simplification tools in languages other than English, to mention a few.

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Automatic Text Simplification for People with Cognitive Disabilities: Resource Creation within the ClearText Project
Isabel Espinosa-Zaragoza | José Abreu-Salas | Paloma Moreda | Manuel Palomar
Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability

This paper presents the ongoing work conducted within the ClearText project, specifically focusing on the resource creation for the simplification of Spanish for people with cognitive disabilities. These resources include the CLEARSIM corpus and the Simple.Text tool. On the one hand, a description of the corpus compilation process with the help of APSA is detailed along with information regarding whether these texts are bronze, silver or gold standard simplification versions from the original text. The goal to reach is 18,000 texts in total by the end of the project. On the other hand, we aim to explore Large Language Models (LLMs) in a sequence-to-sequence setup for text simplification at the document level. Therefore, the tool’s objectives, technical aspects, and the preliminary results derived from early experimentation are also presented. The initial results are subject to improvement, given that experimentation is in a very preliminary stage. Despite showcasing flaws inherent to generative models (e.g. hallucinations, repetitive text), we examine the resolutions (or lack thereof) of complex linguistic phenomena that can be learned from the corpus. These issues will be addressed throughout the remainder of this project. The expected positive results from this project that will impact society are three-fold in nature: scientific-technical, social, and economic.

2019

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Team GPLSI. Approach for automated fact checking
Aimée Alonso-Reina | Robiert Sepúlveda-Torres | Estela Saquete | Manuel Palomar
Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)

Fever Shared 2.0 Task is a challenge meant for developing automated fact checking systems. Our approach for the Fever 2.0 is based on a previous proposal developed by Team Athene UKP TU Darmstadt. Our proposal modifies the sentence retrieval phase, using statement extraction and representation in the form of triplets (subject, object, action). Triplets are extracted from the claim and compare to triplets extracted from Wikipedia articles using semantic similarity. Our results are satisfactory but there is room for improvement.

2017

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Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation
Elena Lloret | Ester Boldrini | Patricio Martínez-Barco | Manuel Palomar
Proceedings of the MultiLing 2017 Workshop on Summarization and Summary Evaluation Across Source Types and Genres

The electronic Word of Mouth has become the most powerful communication channel thanks to the wide usage of the Social Media. Our research proposes an approach towards the production of automatic ultra-concise summaries from multiple Web 2.0 sources. We exploit user-generated content from reviews and microblogs in different domains, and compile and analyse four types of ultra-concise summaries: a)positive information, b) negative information; c) both or d) objective information. The appropriateness and usefulness of our model is demonstrated by its successful results and great potential in real-life applications, thus meaning a relevant advancement of the state-of-the-art approaches.

2011

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Towards a Unified Approach for Opinion Question Answering and Summarization
Elena Lloret | Alexandra Balahur | Manuel Palomar | Andrés Montoyo
Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2.011)

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Finding the Best Approach for Multi-lingual Text Summarisation: A Comparative Analysis
Elena Lloret | Manuel Palomar
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

2010

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Quantifying the Limits and Success of Extractive Summarization Systems Across Domains
Hakan Ceylan | Rada Mihalcea | Umut Özertem | Elena Lloret | Manuel Palomar
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics

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Experiments on Summary-based Opinion Classification
Elena Lloret | Horacio Saggion | Manuel Palomar
Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text

2009

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Towards Building a Competitive Opinion Summarization System: Challenges and Keys
Elena Lloret | Alexandra Balahur | Manuel Palomar | Andrés Montoyo
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium

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Summarizing Threads in Blogs Using Opinion Polarity
Alexandra Balahur | Elena Lloret | Ester Boldrini | Andrés Montoyo | Manuel Palomar | Patricio Martínez-Barco
Proceedings of the Workshop on Events in Emerging Text Types

2007

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DLSITE-2: Semantic Similarity Based on Syntactic Dependency Trees Applied to Textual Entailment
Daniel Micol | Óscar Ferrández | Rafael Muñoz | Manuel Palomar
Proceedings of the Second Workshop on TextGraphs: Graph-Based Algorithms for Natural Language Processing

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A Perspective-Based Approach for Solving Textual Entailment Recognition
Óscar Ferrández | Daniel Micol | Rafael Muñoz | Manuel Palomar
Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing

2004

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Automatic Extraction of Syntactic Semantic Patterns for Multilingual Resources
Borja Navarro | Manuel Palomar | Patricio Martínez-Barco
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

2002

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A Maximum Entropy-based Word Sense Disambiguation System
Armando Suárez | Manuel Palomar
COLING 2002: The 19th International Conference on Computational Linguistics

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Bilingual alignment of anaphoric expressions
R. Muñoz | R. Mitkov | M. Palomar | J. Peral | R. Evans | L. Moreno | C. Orasan | M. Saiz-Noeda | A. Ferrández | C. Barbu | P. Martínez-Barco | A. Suárez
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

2001

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Semantic pattern learning through maximum entropy-based WSD technique
Maximiliano Saiz-Noeda | Armando Suárez | Manuel Palomar
Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning (ConLL)

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An Algorithm for Anaphora Resolution in Spanish Texts
Manuel Palomar | Antonio Ferrández | Lidia Moreno | Patricio Martínez-Barco | Jesús Peral | Maximiliano Saiz-Noeda | Rafael Muñoz
Computational Linguistics, Volume 27, Number 4, December 2001

1999

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Coreference-oriented Interlingual Slot Structure & Machine Translation
Jesus Peral | Manuel Palomar | Antonio Ferrandez
Coreference and Its Applications

1998

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Anaphor Resolution In Unrestricted Texts With Partial Parsing
Antonio Ferrandez | Manuel Palomar | Lidia Moreno
36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 1

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Anaphor resolution in unrestricted texts with partial parsing
A. Ferrandez | M. Palomar | L. Moreno
COLING 1998 Volume 1: The 17th International Conference on Computational Linguistics