Computational research on reference resolution has mostly focused on pronouns and, to a lesser extent, on definite descriptions. We present a computational treatment of other-anaphora, i.e., noun phrases modified by “other ” and “another”. The approach presented here is a lexical method LEX that finds antecedents on the basis of information in WordNet. LEX is compared with the state-of-the-art pronoun resolution method based on Centering Theory. A performance comparison between the two algorithms indicates that LEX is superior to the Centering method (48 % vs. 37 % success rate). Furthermore, an analysis of examples that the Centering method resolved correctly and LEX did not suggests the following: to improve the performance of LEX requires a better treatment of metonymy, bridging, implicit antecedents and non-NP antecedents. Grammatical role, however, does not seem to play a significant part in resolving other-anaphora, other than with pronominal antecedents
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.