This paper describes the first system for large-scale acquisition of subcategorization frames (SCFs) from English corpus data which can be used to acquire comprehensive lexicons for verbs, nouns and adjectives. The system incorporates an extensive rulebased classifier which identifies 168 verbal, 37 adjectival and 31 nominal frames from grammatical relations (GRs) output by a robust parser. The...

Recent corpus-based work on word sense disambiguation explores the application of statistical pattern recognition procedures to lexical co-occurrence data from very large text databases. In this paper we argue for a linguistically principled approach to disambiguation, in which relevant contextual clues are narrowly defined, in syntactic and semantic terms, and in which only highly reliable clu...

INTRODUCTION. Adjectives such as tall get a high degree meaning when used in isolation. Thus, John is tall does not simply mean that John has (a certain) height, but rather that he is taller than average. This led Cresswell (1976) to argue that gradable adjectives are relations between individuals and degrees and to postulate the operator pos which binds the degree variable of the adjective whe...

Although type-nouns (e.g., idiot, hero) are important in person description, lexical studies of personality have concentrated on adjectives. This study tested structural hypotheses using 372 highly familiar English-language type-nouns and descriptions by 607 participants of either themselves, a liked, or a disliked target person. One- and 2-factor structures were most robust, and replicated sim...

In this paper, we propose a fine grained classification of english adjectives geared at modeling the distinct inference patterns licensed by each adjective class. We show how it can be implemented in description logic and illustrate the predictions made by a series of examples. The proposal has been implemented using Description logic as a semantic representation language and the prediction ver...

English is widely known as a language containing number of near-synonyms, i.e. words with similar meaning, and therefore learners are often confronted difficulty in the use near-synonyms different contexts. This corpus-informed study aims to differentiate synonyms primary, main , major focusing on their distribution across genres collocation usage. The three target were selected majo r among fi...

The English lexical sample task (adjectives and nouns) for SENSEVAL 2 was set up according to the same principles as for SENSEVAL-1, as reported in (Kilgarriff and Rosenzweig, 2000). (Adjectives and nouns only, because the data preparation for the verbs lexical sample was undertaken alongside that for the English all-words task, and is reported in Palmer et al (this volume). All discussion belo...