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MEAD - A Platform for Multidocument Multilingual Text Summarization
The functionality of MEAD is described, a comprehensive, public domain, open source, multidocument multilingual summarization environment that has been thus far downloaded by more than 500 organizations.
Using Random Walks for Question-focused Sentence Retrieval
A stochastic, graph-based method for comparing the relative importance of the textual units, which was previously used successfully for generic summarization is applied, and it is hypothesized that it can outperform a competitive baseline.
'Helpfulness' in online communities: a measure of message quality
- Jahna Otterbacher
- 4 April 2009
A correlation and regression analysis uncovers a strong relationship between the chronological ordering of reviews and helpfulness, which both community participants and designers should keep in mind when using this method of social navigation.
Evolutionary timeline summarization: a balanced optimization framework via iterative substitution
- Rui Yan, Xiaojun Wan, Jahna Otterbacher, Liang Kong, Xiaoming Li, Yan Zhang
- Computer ScienceSIGIR
- 24 July 2011
A novel framework for the web mining problem named Evolutionary Timeline Summarization (ETS), which aims to return the evolution trajectory along the timeline, consisting of individual but correlated summaries of each date, emphasizing relevance, coverage, coherence and cross-date diversity.
Biased LexRank: Passage retrieval using random walks with question-based priors
What's congress doing on twitter?
Using data from 380 members of Congress' Twitter activity during the winter of 2012, it is found that officials frequently use Twitter to advertise their political positions and to provide information but rarely to request political action from their constituents or to recognize the good work of others.
CST Bank: A Corpus for the Study of Cross-document Structural Relationships
The current paper presents the Cross-document Structure Theory (CST) Bank, a collection of multi-document clusters in which pairs of sentences from different documents have been annotated for cross-document structure theory relationships.
Inferring gender of movie reviewers: exploiting writing style, content and metadata
- Jahna Otterbacher
- Computer ScienceCIKM
- 26 October 2010
It is found that the perceived utility of a review is an important correlate of gender, and content and stylistic features can be augmented with metadata to compensative for the brevity of reviews.
NewsInEssence: summarizing online news topics
- Dragomir R. Radev, Jahna Otterbacher, Adam Winkel, Sasha Blair-Goldensohn
- Computer ScienceCommun. ACM
- 1 October 2005
A news delivery and summarization system, acting as a user's agent, gathers and recaps news items based on specifications and interests.
Learning cross-document structural relationships using boosting
An empirical study that uses boosting to classify CST relationships between sentence pairs extracted from topically related documents shows that the binary classifier for determining existence of structural relationships significantly outperforms the baseline.