Núria Castell

Also published as: Nuria Castell


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Causal Relation Extraction
Eduardo Blanco | Nuria Castell | Dan Moldovan
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

This paper presents a supervised method for the detection and extraction of Causal Relations from open domain text. First we give a brief outline of the definition of causation and how it relates to other Semantic Relations, as well as a characterization of their encoding. In this work, we only consider marked and explicit causations. Our approach first identifies the syntactic patterns that may encode a causation, then we use Machine Learning techniques to decide whether or not a pattern instance encodes a causation. We focus on the most productive pattern, a verb phrase followed by a relator and a clause, and its reverse version, a relator followed by a clause and a verb phrase. As relators we consider the words as, after, because and since. We present a set of lexical, syntactic and semantic features for the classification task, their rationale and some examples. The results obtained are discussed and the errors analyzed.


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Bilingual Connections for Trilingual Corpora: An XML Approach
Victoria Arranz | Núria Castell | Josep Maria Crego | Jesús Giménez | Adrià de Gispert | Patrik Lambert
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)