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» Phrase Clustering Without Document Context
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ECIR
2006
Springer
13 years 6 months ago
Phrase Clustering Without Document Context
Abstract. We applied different clustering algorithms to the task of clustering multi-word terms in order to reflect a humanly built ontology. Clustering was done without the usual ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
IPM
2006
64views more  IPM 2006»
13 years 4 months ago
Text mining without document context
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
EMNLP
2010
13 years 2 months ago
NLP on Spoken Documents Without ASR
There is considerable interest in interdisciplinary combinations of automatic speech recognition (ASR), machine learning, natural language processing, text classification and info...
Mark Dredze, Aren Jansen, Glen Coppersmith, Ken Wa...
SIGIR
2000
ACM
13 years 9 months ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
COLING
2008
13 years 6 months ago
CollabRank: Towards a Collaborative Approach to Single-Document Keyphrase Extraction
Previous methods usually conduct the keyphrase extraction task for single documents separately without interactions for each document, under the assumption that the documents are ...
Xiaojun Wan, Jianguo Xiao