| other,41-4-P82-1035,bq | and resolve <term> referents </term> ( <term> | anaphora | </term> ) . This method of using <term> expectations | #13096 These syntactic and semantic expectations can be used to figure out unknown words from context, constrain the possible word-senses of words with multiple meanings (ambiguity), fill in missing words (elllpsis), and resolve referents (anaphora). |
| tech,7-1-A88-1003,bq | paper , we describe the <term> pronominal | anaphora | resolution module </term> of <term> Lucy </term> | #14926 In this paper, we describe the pronominal anaphora resolution module of Lucy, a portable English understanding system. |
| other,18-2-A88-1003,bq | although there exist many theories of <term> | anaphora | resolution </term> , no one of these theories | #14956 The design of this moodule was motivated by the observation that, although there exist many theories ofanaphora resolution, no one of these theories is complete. |
| other,16-3-C90-3063,bq | </term> and thus are used to disambiguate <term> | anaphora | references </term> and <term> syntactic ambiguities | #16649 To a large extent, these statistics reflect semantic constraints and thus are used to disambiguateanaphora references and syntactic ambiguities. |
| other,17-2-C92-1052,bq | previous work in the area of <term> temporal | anaphora | resolution </term> . In this paper , a discrimination | #17794 This method is precise and computationally feasible and is supported by previous work in the area of temporal anaphora resolution. |
