In this paper we develop an approach to tackle the problem of verb selection for learners of English as a second language (ESL) by using features from the output of Semantic Role ...
Xiaohua Liu, Bo Han, Kuan Li, Stephan Hyeonjun Sti...
We propose a spatio-temporal markup for the annotation of motion predicates in text, informed by a lexical semantic classification of these verbs. We incorporate this classificati...
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...
A large corpus (about 100 MB of text) was selected and examples of 750 fl'equently occurring verbs were tagged with their compleinent (:lass as defined by a large computation...