… 1. Introduction Now that techniques for part-of-speech (POS) tagging have been
mastered and POS-tagged corpora are available in increasingly large quantities, sense
tagging is the next challenge that corpus linguists have to face …

Contextual information and the mapping from WordNet synsets to Cilin sense tags deal with
word sense disambiguation. The average performance is 63.36% when small categories are
used, and 1, 2 and 3 candidates are proposed for low, middle and high ambiguous words …

… mated by comparing the agreement level among Web contributors with the agreement level that
was already measured in previous sense tagging projects … Moreover, since we plan to use paid,
trained taggers to create a separate test corpus for each of the words tagged with …

… resources and the methodology. Key words: context, corpus, evaluation, lexicography,
part-of-speech tagging, word sense disam- biguation, sense-tagging 1. Introduction
Lexicography is a multi-faceted activity. Far from being …

… Ciaramita and Altun (2006) also describe a tool for super-sense tagging based on a discriminative
HMM, trained with an average perceptron algorithm (Collins, 2002). Their tagger was trained
on portions of the SemCor corpus (Miller et al., 1993) and still represents the state of …

Page 1. Proceedings of EACL '99 95% Replicability for Manual Word Sense Tagging … Even worse
news comes from (Ng and Lee, 1996), who re-tagged parts of the manually tagged SEMCOR
corpus (Fellbaum, 1998). The taggings matched only 57% of the time …

… 1. INTRODUCTION Now that part-of-speech (POS) tagging has become a well-mastered technique,
and that POS- tagged corpora are available in increasingly large quantities, sense tagging is
the next challenge that corpus linguists have to face. Applications of …

… Andrew Harley and Dominic Glennon}, title = {Sense Tagging in Action: Combining Different
Tests with Additive Weightings}, year = {1997} } … OpenURL. Abstract. This paper describes a
working sense tagger, which attempts to automatically link each word in a text corpus to its …

… MULTEXT Journal of the Commission corpus; Ide and Véronis, 1994) or represent highly stylized
language (eg the Bible; Resnik et al., 1999). Additional resources will be required to answer larger
questions about the use of cross-lingual information for sense tagging, such as …

… Introduction Large-scale Automatic Sense Tagging (LAST) has become, like
part-of-speech tagging and automatic … 1 Page 2. example, the importance of assessable
large-scale corpus parsing has always been more important to …