6 papers
Recognizing Referential Links: An Information Extraction Perspective
Megumi Kameyama
We present an efficient and robust reference resolution algorithm in an end-to-end state-of-the-art information extraction system, which must work with a considerably impoverished…
Stressed and Unstressed Pronouns: Complementary Preferences
Megumi Kameyama
I present a unified account of interpretation preferences of stressed and unstressed pronouns in discourse. The central intuition is the Complementary Preference Hypothesis that pr…
Intrasentential Centering: A Case Study
Megumi Kameyama
One of the necessary extensions to the centering model is a mechanism to handle pronouns with intrasentential antecedents. Existing centering models deal only with discourses consi…
Discourse Preferences in Dynamic Logic
Jan Jaspars, Megumi Kameyama
In order to enrich dynamic semantic theories with a `pragmatic' capacity, we combine dynamic and nonmonotonic (preferential) logics in a modal logic setting. We extend a fragment o…
FASTUS: A Cascaded Finite-State Transducer for Extracting Information from Natural-Language Text
Jerry R. Hobbs, Douglas Appelt, John Bear +4
FASTUS is a system for extracting information from natural language text for entry into a database and for other applications. It works essentially as a cascaded, nondeterministic…
Indefeasible Semantics and Defeasible Pragmatics
Megumi Kameyama
An account of utterance interpretation in discourse needs to face the issue of how the discourse context controls the space of interacting preferences. Assuming a discourse process…