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» W-kmeans: Clustering News Articles Using WordNet
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IR
2010
13 years 4 months ago
Sentence-level event classification in unstructured texts
The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Text Summarisation....
Martina Naughton, Nicola Stokes, Joe Carthy
WIDM
2005
ACM
14 years 1 months ago
A search result clustering method using informatively named entities
Clustering the results of a search helps the user to overview the information returned. In this paper, we regard the clustering task as indexing the search results. Here, an index...
Hiroyuki Toda, Ryoji Kataoka
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 8 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
HICSS
2005
IEEE
125views Biometrics» more  HICSS 2005»
14 years 1 months ago
Taking Topic Detection From Evaluation to Practice
Abstract— The Topic Detection and Tracking (TDT) research community investigates information retrieval methods for organizing a constantly arriving stream of news articles by the...
James Allan, Stephen M. Harding, David Fisher, Alv...
LREC
2008
112views Education» more  LREC 2008»
13 years 9 months ago
Modeling Document Dynamics: an Evolutionary Approach
News articles about the same event published over time have properties that challenge NLP and IR applications. A cluster of such texts typically exhibits instances of paraphrase a...
Jahna Otterbacher, Dragomir R. Radev