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CIARP
2004
Springer
14 years 1 months ago
Unsupervised Learning of Ontology-Linked Selectional Preferences
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
Hiram Calvo, Alexander F. Gelbukh
IJCAI
2007
13 years 9 months ago
Semantic Smoothing of Document Models for Agglomerative Clustering
In this paper, we argue that the agglomerative clustering with vector cosine similarity measure performs poorly due to two reasons. First, the nearest neighbors of a document belo...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
ACL
1998
13 years 9 months ago
Investigating Regular Sense Extensions Based on Intersective Levin Classes
In this paper we specifically address questions of polysemy with respect to verbs, and how regular extensions of meaning can be achieved through the adjunction of particular synta...
Hoa Trang Dang, Karin Kipper, Martha Stone Palmer,...
ICPR
2010
IEEE
13 years 5 months ago
Exploiting Combined Multi-level Model for Document Sentiment Analysis
This paper focuses on the task of text sentiment analysis in hybrid online articles and web pages. Traditional approaches of text sentiment analysis typically work at a particular ...
Si Li, Hao Zhang, Weiran Xu, Guang Chen, Jun Guo
BMCBI
2005
134views more  BMCBI 2005»
13 years 7 months ago
Systematic feature evaluation for gene name recognition
In task 1A of the BioCreAtIvE evaluation, systems had to be devised that recognize words and phrases forming gene or protein names in natural language sentences. We approach this ...
Jörg Hakenberg, Steffen Bickel, Conrad Plake,...