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NAACL
2010
13 years 4 months ago
Quantifying the Limits and Success of Extractive Summarization Systems Across Domains
This paper analyzes the topic identification stage of single-document automatic text summarization across four different domains, consisting of newswire, literary, scientific and ...
Hakan Ceylan, Rada Mihalcea, Umut O'zertem, Elena ...
ICMCS
2005
IEEE
109views Multimedia» more  ICMCS 2005»
14 years 9 days ago
Ontology Design for Video Semantic Threads
We propose that, at the highest level of video understanding, the human needs for meaning and the methodologies to extract it are both universal and generic. One must develop an o...
John R. Kender, Milind R. Naphade
CIKM
2010
Springer
13 years 5 months ago
Context modeling for ranking and tagging bursty features in text streams
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
14 years 7 months ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar
ANLP
1997
190views more  ANLP 1997»
13 years 8 months ago
Disambiguation of Proper Names in Text
Identifying the occurrences of proper names in text and the entities they refer to can be a difficult task because of the manyto-many mapping between names and their referents. We...
Nina Wacholder, Yael Ravin, Misook Choi