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IUI
2012
ACM
13 years 5 months ago
Summarizing sporting events using twitter
The status updates posted to social networks, such as Twitter and Facebook, contain a myriad of information about what people are doing and watching. During events, such as sports...
Jeffrey Nichols, Jalal Mahmud, Clemens Drews
ICWSM
2009
14 years 7 months ago
From Generating to Mining: Automatically Scripting Conversations Using Existing Online Sources
Hearing people argue opposing sides of an issue can be a useful way to understand the topic; however, these debates or conversations often don't exist. Unfortunately, generat...
Nathan D. Nichols, Lisa M. Gandy, Kristian J. Hamm...
58
Voted
KDD
2008
ACM
121views Data Mining» more  KDD 2008»
15 years 10 months ago
Mining multi-faceted overviews of arbitrary topics in a text collection
A common task in many text mining applications is to generate a multi-faceted overview of a topic in a text collection. Such an overview not only directly serves as an informative...
Xu Ling, Qiaozhu Mei, ChengXiang Zhai, Bruce R. Sc...
CIKM
1999
Springer
15 years 1 months ago
Training a Selection Function for Extraction
In this paper we compare performance of several heuristics in generating informative generic/query-oriented extracts for newspaper articles in order to learn how topic prominence ...
Chin-Yew Lin
COLING
2002
14 years 9 months ago
Extracting Important Sentences with Support Vector Machines
Extracting sentences that contain important information from a document is a form of text summarization. The technique is the key to the automatic generation of summaries similar ...
Tsutomu Hirao, Hideki Isozaki, Eisaku Maeda, Yuji ...