An algorithm for pronominal anaphora resolution
Computational Linguistics
Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
Skimming stories in real time: an experiment in integrated understanding.
Skimming stories in real time: an experiment in integrated understanding.
Entity-based cross-document coreferencing using the Vector Space Model
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Anaphor resolution in unrestricted texts with partial parsing
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Text Meaning Representation as a Basis for Representation of Text Interpretation
AMTA '00 Proceedings of the 4th Conference of the Association for Machine Translation in the Americas on Envisioning Machine Translation in the Information Future
Translation of pronominal anaphora between English and Spanish: discrepancies and evaluation
Journal of Artificial Intelligence Research
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In this paper we outline an interlingual-based procedure for resolving reference and suggest a practical approach to implementing it. We assume a two-stage language analysis system. First, a syntactic analysis of an input text results in a functional structure in which certain cases of pronominal reference are resolved. Second, the f-structure is mapped onto an interlingual representation. As part of this mapping, the reference of the various f-structure elements is resolved resulting in the addition of information to certain existing IL objects (coreference) or in the creation of new IL objects which are added to the domain of discourse (initial reference).For this effort, we adopt Text Meaning Representation for our IL and rely on the ONTOS ontology (Mahesh & Nirenburg, 1995) as a general knowledge base. Since the central barrier to developing such a system today is the incompleteness of the knowledge base, we outline a strategy starting with the implementation of a series of form-based resolution algorithms that are applied directly to the referring expressions of the input text. These are initially supplemented by a knowledge-based resolution procedure which, as the knowledge base grows and the adequacy of the f-structure and IL-representation increases, takes on more and more of the processing load.We examine the operation of the form-based algorithms on a sample Spanish text and show their limitations. We then demonstrate how an IL-based approach can be used to resolve the problematic cases of reference. This research effort is part of the CREST project at the CRL funded by DARPA.