Tagging for Learning: Collecting Thematic Relations from Corpus

Recent work in text analysis has suggested that da ta on words tha t frequently occur together reveal important information about text content. Co-occurrence relations can serve two main purposes in language processing. First, the statistics of co-occurrence have been shown to produce accurate results in syntactic analysis. Second, the way that words appear together can help in assigning thematic roles in semantic interpretation. This paper discusses a method for collecting co-occurrence data, ~qu i r ing lexical relations from the data, and applying these relations to semantic analysis.