CANDEL: An Algorithm for Same-Sentence Pronominal Resolution

This paper presents a syntactic path-based learning algorithm (CANDEL from CANDIDATE-ELIMINATION) for the coreference resolution of pronouns that have their antecedents in the same sentence. Syntactic paths are treated as hypotheses to be learned. The hypotheses make up a version space that is delimited by a specific set and a general set, which grow closer to each other as the algorithm runs, in order to be consistent with the training examples encountered. Experiments on the MUC-6 and MUC-7 datasets reveal that this resolution method is a viable alternative to acquiring large amounts of data from the web.

• Type: Conference
• Year: 2008
• Where: FLAIRS
• Authors: Cristina Nicolae, Gabriel Nicolae
• Keywords: Artificial Intelligence, FLAIRS 2008, Hypotheses, Path-based Learning Algorithm, Syntactic Paths