In this position paper, I discuss some linguistic problems that computational work on lexical semantics has attempted to address in the past and the implications for alternative models which incorporate distributional information. I concentrate in particular on phenomena involving count/mass distinctions, where older approaches attempted to use lexical semantics in their models of syntax. I out...

Lexical information is one of the most important source that can improve the accuracy of the syntactic disambigua-tion. This paper describes a Korean probabilistic parser that is based on the probabilities of phrase structure rules as well as the probabilities of collocational information between lexical items to resolve syntactic ambiguity. The proposed parser is shown by means of an extensive...

Lexical cohesion refers to the perceived unity of text achieved by the author’s usage of words with related meanings[1]. Data from an experiment with 22 readers aimed at eliciting lexical cohesive patterns they see in 10 texts [2, 3] is used to shed light on a number of theoretical and applied aspects of the phenomenon: which items in the text carry the cohesive load; what are the appropriate d...

This paper describes how external resources can be used to improve parser performance for heavily lexicalised grammars, looking at both robustness and efficiency. In terms of robustness, we try using different types of external data to increase lexical coverage, and find that simple POS tags have the most effect, increasing coverage on unseen data by up to 45%. We also show that filtering lexic...

This paper describes the use of verb class memberships as a means of capturing generalizations about manner-of-motion verbs in Synchronous Tree Adjoining Grammars, STAGs, [20, 21, 22]. This approach allows STAGs, which are essentially transfer-based, to take advantage of the same types of generalizations which are generally thought of as wholly the domain of interlingua systems without giving u...

Lexical decision task in an event-related potential experiment was used in order to determine the organization of mental lexicon regarding the polimorphemic words: are they stored as unanalyzable items or as separate morphemes? The results indicate the later: while monomorphemic words elicit N400 component, usually related to lexical-semantic processing, prefixed words and prefixed pseudo-words...

Recent research demonstrates that the diagnosticity of an acoustic dimension for speech categorization is relative to its relationship to the evolving distribution of dimensional regularity across time and not simply to its fixed value along the dimension. Two studies examine the nature of this learning in online word recognition, testing generalization of learning across lexical contexts, and ...

The A virtually linked knowledge base is designed to utilize a pre-constructed knowledge base in a dynamic mode when it is in actual use. An algorithm is proposed for causality reasoning based on a set of lexical knowledge bases that contain information about such items as event role, is-a hierarchy, relevant relation, antonym, and other features. These lexical knowledge bases have mainly made ...

A variety of scholars have argued for the necessity ofan argumentstructure within lexical items that forms an inte~ace with syntax. Williams (1994) argues for direct-theta-control, Grimshaw argues for a level of Argument structure, Pusteovsky (1993) has argued for an articulated notion of Events, and Hale and Keyser argue for a Lexical-Conceptual s r cture (1993) the sort advocated byJackendoff...

We discuss a range of in vitro and in vivo approaches to deep lexical acquisition, and evaluate a representative sample of each in learning lexical items for a precision grammar. Evaluation focuses particularly on determining the effectiveness of each method at the token and type level, and over the four basic word classes of English. Each method is shown to have particular strengths and weakne...