This paper surveys the current state of wordnet sense annotated corpora. We look at corpora
in any language, and describe them in terms of accessibility and usefulness. We finally …

This paper presents a pilot study intended to enhance the semantic and conceptual
description of Ancient Greek verbs in WordNet with information from two other resources …

This paper presents the construction of an Urdu Sense Tagged corpus using four main
lexical resources; an Urdu wordlist consisting of 5000 high frequency content words, a 100K …

Word Sense Disambiguation (WSD) is a long standing task in Natural Language Processing
(NLP) that aims to automatically identify the most relevant meaning of the words in a given …

This paper describes an ongoing effort towards expanding the semantic and conceptual
description of verbs in WordNet by combining information from two other resources …

Word Sense Disambiguation (WSD) is a long-standing task in Natural Language Processing
(NLP) that aims to automatically identify the most relevant meaning of the words in a given …

This paper describes the methodology of compilation and annotation of the Bulgarian Sense-
Annotated Corpus-a manually annotated corpus of over 100,000 words in which each …

Abstract Verbs usually make up 10-15% of the material in a wordnet. We have embarked on
a project in which this proportion increases to a lexically more realistic 1/3. The development …