We evaluate probabilistic models of verb argument structure trained on a corpus of verbs and their syntactic arguments. Models designed to represent patterns of verb alternation b...
We present a supervised learning approach to identification of anaphoric and non-anaphoric noun phrases and show how such information can be incorporated into a coreference resolu...
The paper examines different possibilities to take advantage of the taxonomic organization of a thesaurus to improve the accuracy of classifying new words into its classes. The re...
In this paper, we focus on the domain ontology acquisition from Chinese corpus by extracting rules designed for Chinese phrases. These rules are noun sequences with part-of-speech...
We discuss a grammar development process used to generate the trees of the wide-coverage Lexicalized Tree Adjoining Grammar (LTAG) for English of the XTAG Project. Result of the c...