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INTERSPEECH
2010
11 years 12 days ago
Extractive summarization using a latent variable model
Extractive multi-document summarization is the task of choosing sentences from a set of documents to compose a summary text in response to a user query. We propose a generative ap...
Asli Çelikyilmaz, Dilek Hakkani-Tür
ACL
2010
11 years 3 months ago
A Hybrid Hierarchical Model for Multi-Document Summarization
Scoring sentences in documents given abstract summaries created by humans is important in extractive multi-document summarization. In this paper, we formulate extractive summariza...
Asli Çelikyilmaz, Dilek Hakkani-Tur
COMAD
2008
11 years 7 months ago
An Incremental Summary Generation System
Huge amount of information is present in the World Wide Web and a large amount is being added to it frequently. A query-specific summary of multiple documents is very helpful to t...
C. Ravindranath Chowdary, P. Sreenivasa Kumar
SIGIR
2009
ACM
12 years 2 days ago
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
Massih-Reza Amini, Nicolas Usunier
AI
2009
Springer
12 years 6 days ago
A SVM-Based Ensemble Approach to Multi-Document Summarization
In this paper, we present a Support Vector Machine (SVM) based ensemble approach to combat the extractive multi-document summarization problem. Although SVM can have a good general...
Yllias Chali, Sadid A. Hasan, Shafiq R. Joty
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