In this paper, we propose a method for anaphora resolution in speech understanding for a livelihood support robot. For robust speech recognition, we combine two types of speech recognizers; a large vocabulary continuous speech recognizer (LVCSR) and domain-specific speech recognizers (DSSR). One problem in the anaphora resolution is lack of the antecedent in the outputs. To solve the problem, w...

Anaphora resolution attempts to determine the correct antecedent of an anaphor (the term pointing back). In what follows, we propose an algorithm for the resolution of anaphoric pronouns that relies on lexical and syntactic knowledge incorporated in a modular approach based on constraints and preferences. Our objective was to find the correct antecedent to the following subject pronouns (il, il...

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 nd the correct antecedent of the anaphor. These sources can be of diierent kinds, e.g., linguistic information, discourse/dialogue structure information, or topic information. F...

In this paper we present a hybrid approach to resolve Entity-pronoun references in Hindi. While most of the existing approaches, syntactic as well as data-driven, use phrase-structure syntax for anaphora resolution, we explore use of dependency structures as a source of syntactic information. In our approach, dependency structures are used by a rule-based module to resolve simple anaphoric refe...

This paper introduces a new structured model for learning anaphoricity detection and coreference resolution in a joint fashion. Specifically, we use a latent tree to represent the full coreference and anaphoric structure of a document at a global level, and we jointly learn the parameters of the two models using a version of the structured perceptron algorithm. Our joint structured model is fur...

The Italian particle ne exhibits interesting anaphoric properties that have not been yet explored in depth from a corpus and computational linguistic perspective. We provide: (i) an overview of the phenomenon; (ii) a set of annotation schemes for marking up occurrences of ne; (iii) the description of a corpus annotated for this phenomenon ; (iv) a first assessment of the resolution task. We sho...

Two experiments investigated whether the choice of anaphoric expression is affected by the presence of an addressee. Following a context sentence and visual scene, participants described a target scene that required anaphoric reference. They described the scene either to an addressee (Experiment 1) or without an addressee (Experiment 2). When an addressee was present in the task, participants u...

We report the results of a preliminary study attempting to identify ambiguous expressions in spoken language dialogues. In this study we developed methods for marking explicit ambiguity, and generalized previous proposals by Passonneau concerning a distance metric for anaphora to be used with the α coefficient to allow for ambiguous annotations.

In this study we investigate the comprehension of various kinds of anaphoric metaphors in context. We describe an experiment that manipulated the metaphoricity of simple noun + verb + ending sentences by using either a metaphoric noun or a metaphoric verb or both. Our results show that metaphoric nouns affect sentence comprehension to a greater extent than do metaphoric verbs. Thus, even though...

Abstract We present two studies exploring how participants respond when a speaker contrasts ideas, then expresses an ambiguous preference towards one of them. Study 1 showed that, reading speaker’s as text, tended to choose whatever was said last matching the preference, reflecting recent-mention bias anaphora resolution. In 2, we asked whether this pattern changed for audio versions our stimul...