286 citations
- Institució Catalana de Recerca i Estudis AvançatsES13 papers
- Santa Fe InstituteUS12 papers
- Institut national de recherche en sciences et technologies du numériqueFR3 papers
- Barcelona Biomedical Research ParkES2 papers
- Budapest University of Technology and EconomicsHU2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Hungarian Academy of SciencesHU2 papers
- Institut de Biologia EvolutivaES2 papers
- Max Planck Institute for the Physics of Complex SystemsDE2 papers
- McGill UniversityCA2 papers
- Universidad Carlos III de MadridES2 papers
- Universidad de NavarraES2 papers
5 papers · 1 filter
Using qualia information to identify lexical semantic classes in an unsupervised clustering task
Lauren Romeo, Sara Mendes, Núria Bel
Acquiring lexical information is a complex problem, typically approached by relying on a number of contexts to contribute information for classification. One of the first issues to…
Automatic Detection of Non-deverbal Event Nouns for Quick Lexicon Production
Núria Bel, Maria Coll, Gabriela Resnik
In this work we present the results of our experimental work on the develop-ment of lexical class-based lexica by automatic means. The objective is to as-sess the use of linguistic…
A Classification of Adjectives for Polarity Lexicons Enhancement
Silvia Vázquez, Núria Bel
Subjective language detection is one of the most important challenges in Sentiment Analysis. Because of the weight and frequency in opinionated texts, adjectives are considered a k…
Towards the Fully Automatic Merging of Lexical Resources: A Step Forward
Muntsa Padró, Núria Bel, Silvia Necsulescu
This article reports on the results of the research done towards the fully automatically merging of lexical resources. Our main goal is to show the generality of the proposed appro…
Sentence Compression in Spanish driven by Discourse Segmentation and Language Models
Alejandro Molina, Juan-Manuel Torres-Moreno, Iria da Cunha +2
Previous works demonstrated that Automatic Text Summarization (ATS) by sentences extraction may be improved using sentence compression. In this work we present a sentence compressi…