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SIGIR
2006
ACM
13 years 10 months ago
Stylistic text segmentation
This paper focuses on a method for the stylistic segmentation of text documents. Our technique involves mapping the change in a feature throughout a text. We use the linguistic fe...
Paul J. Chase, Shlomo Argamon
SIGIR
2006
ACM
13 years 10 months ago
Automated performance assessment in interactive QA
In interactive question answering (QA), users and systems take turns to ask questions and provide answers. In such an interactive setting, user questions largely depend on the ans...
Joyce Y. Chai, Tyler Baldwin, Chen Zhang
SIGIR
2006
ACM
13 years 10 months ago
Distributed query sampling: a quality-conscious approach
We present an adaptive distributed query-sampling framework that is quality-conscious for extracting high-quality text database samples. The framework divides the query-based samp...
James Caverlee, Ling Liu, Joonsoo Bae
SIGIR
2006
ACM
13 years 10 months ago
Learning a ranking from pairwise preferences
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
Ben Carterette, Desislava Petkova
SIGIR
2006
ACM
13 years 10 months ago
Minimal test collections for retrieval evaluation
Accurate estimation of information retrieval evaluation metrics such as average precision require large sets of relevance judgments. Building sets large enough for evaluation of r...
Ben Carterette, James Allan, Ramesh K. Sitaraman
SIGIR
2006
ACM
13 years 10 months ago
Information graphics: an untapped resource for digital libraries
Information graphics are non-pictorial graphics such as bar charts and line graphs that depict attributes of entities and relations among entities. Most information graphics appea...
Sandra Carberry, Stephanie Elzer, Seniz Demir
SIGIR
2006
ACM
13 years 10 months ago
Adapting ranking SVM to document retrieval
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Hua...
SIGIR
2006
ACM
13 years 10 months ago
Tensor space model for document analysis
Vector Space Model (VSM) has been at the core of information retrieval for the past decades. VSM considers the documents as vectors in high dimensional space. In such a vector spa...
Deng Cai, Xiaofei He, Jiawei Han