A core challenge in the semantic ambiguity literature is understanding why the number and relatedness among a word’s interpretations are associated with different effects in different tasks. An influential account (Hino, Pexman, & Lupker [2006. Ambiguity and relatedness effects in semantic tasks: Are they due to semantic coding? Journal of Memory and Language 55 (2), 247– 273]) attributes these...

This paper presents a method for the resolution of lexical ambiguity and its automatic evaluation over the Brown Corpus. The method relies on the use of the wide-coverage noun taxonomy of WordNet and the notion of conceptual distance among concepts, captured by a Conceptual Density formula developed for this purpose. This fully automatic method requires no hand coding of lexical entries, hand t...

High-quality lexical resources are needed to both train and evaluate Word Sense Disambiguation (WSD) systems. The problem of ambiguity persists even in limited domains, thus the necessity for wide-coverage inventories of senses (dictionaries) and corpora sense-tagged to them. WordNet has been used extensively for WSD, for both its broad coverage and its large network of semantic relations. In t...

We propose a method mixing unsupervised learning of lexical pattern frequencies with semantic information which aims at improving the resolution of PP attachment ambiguity. Using the output of a robust parser, i.e. the set of all possible attachments for a given sentence, we query the Web and obtain statistical information about the frequencies of the attachments distributions as well as lexica...

We investigated dictionary based cross language information retrieval using lexical triangulation. Lexical triangulation combines the results of different transitive translations. Transitive translation uses a pivot language to translate between two languages when no direct translation resource is available. We took German queries and translated then via Spanish, or Dutch into English. We compa...

In this paper, I will discuss four major topics relating to current research in lexical semantics: methodology, descriptive coverage, adequacy of the representation, and the computational usefulness of representations. In addressing these issues, I will discuss what I think are some of the central problems facing the lexical semantics community, and suggest ways of best approaching these issues...

In this paper, we identify syntactic lexical ambiguity and sentence complexity as factors that contribute to parsing complexity in fully lexicalized grammar formalisms such as Lexicalized Tree Adjoining Grammars. We also report on experiments that explore the effects of these factors on parsing complexity. We discuss how these constraints can be exploited in improving efficiency of parsers for ...

Parsing with categorial grammars often leads to problems such as proliferating lexical ambiguity, spurious parses and overgeneration. This paper presents a parser for French developed on an unification based categorial grammar (FG) which avoids these problem s. This parser is a bottom-up c hart parser augmented with a heuristic eliminating spurious parses. The unicity and completeness of parsin...

This paper presents a method for the resolution of lexical ambiguity of nouns and its automatic evaluation over the Brown Corpus. The method relies on the use of the widecoverage noun taxonomy of WordNet and the notion of conceptual distance among concepts, captured by a Conceptual Density formula developed for this purpose. This fully automatic method requires no hand coding of lexical entries...