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ACL
1997
15 years 2 months ago
Document Classification Using a Finite Mixture Model
We propose a new method of classifying documents into categories. We define for each category a finite mixture model based on soft clustering of words. We treat the problem of cla...
Hang Li, Kenji Yamanishi
91
Voted
ACL
1997
15 years 2 months ago
Using Syntactic Dependency as Local Context to Resolve Word Sense Ambiguity
Most previous corpus-based algorithms disambiguate a word with a classifier trained from previous usages of the same word. Separate classifiers have to be trained for different wo...
Dekang Lin
ACL
1997
15 years 2 months ago
A Uniform Approach to Underspecification and Parallelism
We propose a unified framework in which to treat semantic underspecification and parallelism phenomena in discourse. The framework employs a constraint language that can express e...
Joachim Niehren, Manfred Pinkal, Peter Ruhrberg
107
Voted
ACL
1997
15 years 2 months ago
Automatic Extraction of Aspectual Information from a Monolingual Corpus
This paper describes an approach to extract the aspectual information of Japanese verb phrases from a monolingual corpus. We classify Verbs into six categories by means of the asp...
Akira Oishi, Yuji Matsumoto
76
Voted
ACL
1997
15 years 2 months ago
A Trainable Rule-based Algorithm for Word Segmentation
This paper presents a trainable rule-based algorithm for performing word segmentation. The algorithm provides a simple, language-independent alternative to large-scale lexicai-bas...
David D. Palmer