Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/lrec2008/papers/87> ?p ?o. }
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- 87 creator dan-moldovan.
- 87 creator eduardo-blanco.
- 87 creator nuria-castell.
- 87 type InProceedings.
- 87 label "Causal Relation Extraction".
- 87 sameAs 87.
- 87 abstract "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.".
- 87 hasAuthorList authorList.
- 87 hasTopic Linguistics.
- 87 isPartOf proceedings.
- 87 keyword "Acquisition, Machine Learning".
- 87 keyword "Information Extraction, Information Retrieval".
- 87 keyword "Semantics".
- 87 title "Causal Relation Extraction".