Pronouns

We present the results from a series of ex- periments aimed at uncovering the discourse structure of man-machine communication in nat- ural language (Wizard of Oz experiments). The results suggest …...

We report on experiments in reference res- olution using a decision tree approach. We started with a standard feature set used in previous work, which led to moderate re- sults. …...

We present a coreference resolver called BABAR that uses contextual role knowledge to evaluate possible antecedents for an anaphor. BABAR uses information extraction patterns to identify contextual roles and creates …...

In this paper we present an extension of a machine learning based coreference res- olution system which uses features in- duced from different semantic knowledge sources. These features represent knowl- …...

AbstractThis paper describes methods and results for the annotation of two discourse-level phenomena, connectives and pronouns, over a multilingual parallel corpus. Excerpts from Europarl in English and French have been …...

Psychological analysis of language has repeat- edly shown that an individual’s rate of men- tioning 1st person singular pronouns predicts a wealth of important demographic and psy- chological factors. However, …...

The present study employs the valency theory to approach the internal structure of noun phrases. Specifically, we adopt The Georgetown University Multilayer Corpus (GUM) to investigate the valency distribution, mean …...