This paper presents an algorithm for identifying noun-phrase
antecedents of pronouns and adjectival anaphors in Spanish
dialogues. We believe that anaphora resolution requires numerous sources
of information in order to find the correct antecedent of the
anaphor. These sources can be of different kinds,
e.g., linguistic information, discourse/dialogue structure
information, or topic information. For this reason, our algorithm
uses various different kinds of information (hybrid information). The
algorithm is based on linguistic constraints and preferences and
uses an anaphoric accessibility space within which the algorithm
finds the noun phrase. We present some experiments related to this
algorithm and this space using a corpus of 204 dialogues. The
algorithm is implemented in Prolog. According to this study,
95.9% of antecedents were located in the proposed space, a
precision of 81.3% was obtained for pronominal anaphora
resolution, and 81.5% for adjectival anaphora.
