Luz Rello


2016

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A Language Resource of German Errors Written by Children with Dyslexia
Maria Rauschenberger | Luz Rello | Silke Füchsel | Jörg Thomaschewski
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

In this paper we present a language resource for German, composed of a list of 1,021 unique errors extracted from a collection of texts written by people with dyslexia. The errors were annotated with a set of linguistic characteristics as well as visual and phonetic features. We present the compilation and the annotation criteria for the different types of dyslexic errors. This language resource has many potential uses since errors written by people with dyslexia reflect their difficulties. For instance, it has already been used to design language exercises to treat dyslexia in German. To the best of our knowledge, this is first resource of this kind in German.

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CASSAurus: A Resource of Simpler Spanish Synonyms
Ricardo Baeza-Yates | Luz Rello | Julia Dembowski
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

In this work we introduce and describe a language resource composed of lists of simpler synonyms for Spanish. The synonyms are divided in different senses taken from the Spanish OpenThesaurus, where context disambiguation was performed by using statistical information from the Web and Google Books Ngrams. This resource is freely available online and can be used for different NLP tasks such as lexical simplification. Indeed, so far it has been already integrated into four tools.

2015

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CASSA: A Context-Aware Synonym Simplification Algorithm
Ricardo Baeza-Yates | Luz Rello | Julia Dembowski
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2014

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DysList: An Annotated Resource of Dyslexic Errors
Luz Rello | Ricardo Baeza-Yates | Joaquim Llisterri
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

We introduce a language resource for Spanish, DysList, composed of a list of unique errors extracted from a collection of texts written by people with dyslexia. Each of the errors was annotated with a set of characteristics as well as visual and phonetic features. To the best of our knowledge this is the largest resource of this kind, especially given the difficulty of finding texts written by people with dyslexia

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Keyword Highlighting Improves Comprehension for People with Dyslexia
Luz Rello | Horacio Saggion | Ricardo Baeza-Yates
Proceedings of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR)

2013

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Proceedings of the Workshop on Natural Language Processing for Improving Textual Accessibility
Luz Rello | Horacio Saggion | Ricardo Baeza-Yates
Proceedings of the Workshop on Natural Language Processing for Improving Textual Accessibility

2012

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Elliphant: Improved Automatic Detection of Zero Subjects and Impersonal Constructions in Spanish
Luz Rello | Ricardo Baeza-Yates | Ruslan Mitkov
Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics

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Can Spanish Be Simpler? LexSiS: Lexical Simplification for Spanish
Stefan Bott | Luz Rello | Biljana Drndarevic | Horacio Saggion
Proceedings of COLING 2012

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Graphical Schemes May Improve Readability but Not Understandability for People with Dyslexia
Luz Rello | Horacio Saggion | Ricardo Baeza-Yates | Eduardo Graells
Proceedings of the First Workshop on Predicting and Improving Text Readability for target reader populations

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A Portuguese-Spanish Corpus Annotated for Subject Realization and Referentiality
Luz Rello | Iria Gayo
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

This paper presents a comparable corpus of Portuguese and Spanish consisting of legal and health texts. We describe the annotation of zero subject, impersonal constructions and explicit subjects in the corpus. We annotated 12,492 examples using a scheme that distinguishes between different linguistic levels (phonology, syntax, semantics, etc.) and present a taxonomy of instances on which annotators disagree. The high level of inter-annotator agreement (83%-95%) and the performance of learning algorithms trained on the corpus show that our corpus is a reliable and useful resource.

2010

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Automatic conjugation and identification of regular and irregular verb neologisms in Spanish
Luz Rello | Eduardo Basterrechea
Proceedings of the NAACL HLT 2010 Second Workshop on Computational Approaches to Linguistic Creativity

2009

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Semantic Similarity of Distractors in Multiple-Choice Tests: Extrinsic Evaluation
Ruslan Mitkov | Le An Ha | Andrea Varga | Luz Rello
Proceedings of the Workshop on Geometrical Models of Natural Language Semantics

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A Rule-Based Approach to the Identification of Spanish Zero Pronouns
Luz Rello | Iustina Ilisei
Proceedings of the Student Research Workshop