Visual Overviews for Discovering Key Papers and Influences Across Research Fronts (2009)
Aleks Aris, Ben Shneiderman, Vahed Qazvinian, Dragomir Radev
Abstract: Gaining a rapid overview of an emerging scientific topic, sometimes called research fronts, is an increasingly common task due to the growing amount of interdisciplinary collaboration...
Blind men and elephants: What do citation summaries tell us about a research article? (2009)
Aaron Elkiss, Siwei Shen, Anthony Fader, David States, Dragomir Radev
The old Asian legend about the blind men and the elephant comes to mind when looking at how different authors of scientific papers describe a piece of related prior work. It turns out that different...
Tracking Factual Information in Evolving Text: An Empirical Study (2009)
Jahna Otterbacher, Siwei Shen, Dragomir Radev, Yang Ye
We consider the problem of tracking information over time and across sources in clusters of news stories about emergency events. While previous approaches have focused on finding new information at...
Michigan molecular interactions r2: from interacting proteins to pathways (2009)
Tarcea, V. Glenn, Weymouth, Terry, Ade, Alex, Bookvich, Aaron, Gao, Jing, Mahavisno, Vasudeva, ...
Molecular interaction data exists in a number of repositories, each with its own data format, molecule identifier and information coverage. Michigan molecular interactions (MiMI) assists scientists...
Tracking Factual Information in Evolving Text:An Empirical Study (2008)
Jahna Otterbacher, Siwei Shen, Dragomir Radev, Yang Ye
Abstract We consider the problem of tracking information over time and across sourcesin clusters of news stories about emergency events. While previous approaches
Combining Labeled and Unlabeled Data for Learning Cross-document Structural Relationships (2008)
Multi-document discourse analysis has emerged with the potential of improving various NLP applications. Based on the newly proposed Cross-document Structure Theory (CST), this paper describes an...
Exploring Fact-Focused Relevance and Novelty Detection (2008)
Jahna Otterbacher, Dragomir Radev
Purpose – Automated sentence-level relevance and novelty detection would be of direct benefit to many information retrieval systems. However, the low level of agreement between human judges...
Using TimeML in Question Answering Version: 1.0 Release Date: 21-07-02 (2008)
Dragomir Radev, Beth Sundheim, Terqas Corpus, Members Patrick Hanks, Bob Ingria, Lisa Ferro, ...
Question corpus _______________________________________________________ _ 3 Sample questions ______________________________________________________ _ 5 TimeML-annotated questions...
1 Introduction A Scaleable Multi-document Centroid-based Summarizer (2008)
Dragomir Radev, Timothy Allison, Matthew Craig, Stanko Dimitrov, Omer Kareem, Adam Winkel, ...
Dragomir Radev, Weiguo Fan, Hong Qi, Harris Wu, Amardeep Grewal
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and Text Summarization General Terms (2008)
We present WAP MEAD, a WAP-enabled text summarization system. It incorporates a state-of-the art text summarizer enhanced to produce hierarchical summaries that are appropriate for various types of...
Evaluation of Text Summarization in a Cross-lingual Information Retrieval Framework (2008)
Summer Johns, Hopkins Workshop, Dragomir Radev, Simone Teufel, Horacio Saggion, Wai Lam, ...
Evaluation of Text Summarization in a Cross-lingual Information Retrieval Framework (2008)
Summer Johns, Hopkins Workshop, Dragomir Radev, Simone Teufel, Horacio Saggion, Wai Lam, ...
RevisionBank: A Resource for Revision-based Multi-document Summarization and Evaluation (2008)
Jahna Otterbacher, Dragomir Radev
Multi-document summaries produced via sentence extraction often suffer from a number of cohesion problems, including dangling anaphora, sudden shifts in topic and incorrect or awkward chronological...
CST Bank: A Corpus for the Study of Cross-document Structural Relationships (2008)
Dragomir Radev, Jahna Otterbacher, Zhu Zhang
jahna,radev,zhuzhang§ Clusters of multiple news stories related to the same topic exhibit a number of interesting properties. For example, when documents have been published at various points in...
Combining Labeled and Unlabeled Data for Learning Cross-document Structural Relationships (2008)
Multi-document discourse analysis has emerged with the potential of improving various NLP applications. Based on the newly proposed Cross-document Structure Theory (CST), this paper describes an...
1 Introduction A Scaleable Multi-document Centroid-based Summarizer (2008)
Dragomir Radev, Timothy Allison, Matthew Craig, Stanko Dimitrov, Omer Kareem, Adam Winkel, ...
Combining Labeled and Unlabeled Data for Learning Cross-document Structural Relationships (2008)
Multi-document discourse analysis has emerged with the potential of improving various NLP applications. Based on the newly proposed Cross-document Structure Theory (CST), this paper describes an...
Bibliography Published Papers by Dragomir R. Radev References (2008)
Dragomir R. Radev, Alfred Aho, Shih-fu Chang, Kathleen Mckeown, Dragomir Radev, James Allan, ...
retrieval and language modeling. SIGIR Forum, 37(1), March
Bibliography Published Papers by Dragomir R. Radev References (2008)
Dragomir R. Radev, Alfred Aho, Shih-fu Chang, Kathleen Mckeown, Dragomir Radev, James Allan, ...
retrieval and language modeling. SIGIR Forum, 37(1), March
CLAIRLIB Documentation v1.03 (2007)
Radev, Dragomir, Hodges, Mark, Fader, Anthony, Joseph, Mark, Gerrish, Joshua, Schaller, Mark, ...
The Clair library is intended to simplify a number of generic tasks in Natural Language Processing (NLP), Information Retrieval (IR), and Network Analysis. Its architecture also allows for external...
ABSTRACT Probabilistic Question Answering on the Web (2007)
Dragomir Radev, Weiguo Fan, Hong Qi, Harris Wu, Amardeep Grewal
Web-based search engines such as Google and NorthernLight return documents that are relevant to a user query, not answers to user questions. We have developed an architecture that augments existing...
Multi-Document Summarization Using Off the Shelf Compression Software (2007)
Amardeep Grewal Timothy, Timothy Allison, Stanko Dimitrov, Dragomir Radev
This study examines the usefulness of common off the shelf compression software such as gzip in enhancing already existing summaries and producing summaries from scratch. Since the gzip algorithm...
Multi-Document Summarization Using Off the Shelf Compression Software (2007)
Amardeep Grewal Timothy, Timothy Allison, Stanko Dimitrov, Dragomir Radev
This study examines the usefulness of common off the shelf compression software such as gzip in enhancing already existing summaries and producing summaries from scratch. Since the gzip algorithm...
MavenRank: Identifying influential members of the US senate using lexical centrality (2007)
Anthony Fader, Dragomir Radev, Burt L. Monroe, Kevin M. Quinn
We introduce a technique for identifying the most salient participants in a discussion. Our method, MavenRank is based on lexical centrality: a random walk is performed on a graph in which each node...
Bibliography Published Papers by Dragomir R. Radev References (2007)
Dragomir R. Radev, Alfred Aho, Shih-fu Chang, Kathleen Mckeown, Dragomir Radev, Bruce Croft, ...
[5] Suresh Bhavnani, Karen Drabenstott, and Dragomir Radev. Towards a unified framework of IR tasks and strategies. In 2001 ASIST Annual
MavenRank: Identifying influential members of the US senate using lexical centrality (2007)
Anthony Fader, Dragomir Radev, Burt L. Monroe, Kevin M. Quinn
We introduce a technique for identifying the most salient participants in a discussion. Our method, MavenRank is based on lexical centrality: a random walk is performed on a graph in which each node...
News to go: hierarchical text summarization for mobile devices (2006)
Jahna Otterbacher, Dragomir Radev, Omer Kareem
We present an evaluation of a novel hierarchical text summarization method that allows users to view summaries of Web documents from small, mobile devices. Unlike previous approaches, ours does not...
Newsinessence: summarizing online news topics (2005)
Dragomir Radev, Jahna Otterbacher, Adam Winkel, Sasha Blair-goldensohn
These days, Internet users are frequently turning to the Web for news rather than going to traditional sources such as newspapers or television. This trend is likely to continue, according to a...
Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, Kenji Yamada, Alex Fraser, Shankar Kumar, ...
In recent evaluations of machine translation systems, statistical systems have outperformed classical approaches based on interpretation, transfer, and generation. Nonetheless, the output of...
Learning cross-document structural relationships using both labeled and unlabeled data (2004)
Zhu Zhang, Jahna Otterbacher, Dragomir Radev
Multi-document discoure analysis has emerged with the potential of improving various information retrieval applications. Based on the newly proposed Cross-document Structure Theory (CST), this paper...
Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, Kenji Yamada, Alex Fraser, Shankar Kumar, ...
In recent evaluations of machine translation systems, statistical systems have outperformed classical approaches based on interpretation, transfer, and generation. Nonetheless, the output of...
MEAD - a platform for multidocument multilingual text summarization (2004)
Dragomir Radev, Timothy Allison, Sasha Blair-goldensohn, John Blitzer, Arda Çelebi, Stanko Dimitrov, ...
This paper describes the functionality of MEAD, a comprehensive, public domain, open source, multidocument multilingual summarization environment that has been thus far downloaded by more than 500...
Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, Kenji Yamada, Alex Fraser, Shankar Kumar, ...
In recent evaluations of machine translation systems, statistical systems have outperformed classical approaches based on interpretation, transfer, and generation. Nonetheless, the output of...
MEAD - a platform for multidocument multilingual text summarization (2004)
Dragomir Radev, Timothy Allison, Sasha Blair-goldensohn, John Blitzer, Arda Çelebi, Stanko Dimitrov, ...
This paper describes the functionality of MEAD, a comprehensive, public domain, open source, multidocument multilingual summarization environment that has been thus far downloaded by more than 500...
MEAD - a platform for multidocument multilingual text summarization (2004)
Dragomir Radev, Timothy Allison, Sasha Blair-goldensohn, John Blitzer, Arda Çelebi, Stanko Dimitrov, ...
This paper describes the functionality of MEAD, a comprehensive, public domain, open source, multidocument multilingual summarization environment that has been thus far downloaded by more than 500...
Sub-Event Based Multi-Document Summarization (2003)
Naomi Daniel Dragomir, Naomi Daniel, Dragomir Radev, Timothy Allison
The production of accurate and complete multiple-document summaries is challenged by the complexity of judging the usefulness of information to the user. Our aim is to determine whether identifying...
Multi Document Centroid-based Text Summarization (2002)
1.1 Text summarization Text summarization is the process of taking a text
Probabilistic question answering on the Web (2002)
Dragomir Radev, Weiguo Fan, Hong Qi, Harris Wu, Amardeep Grewal
Web-based search engines such as Google and NorthernLight return documents that are relevant to a user query, not answers to user questions. We have developed an architecture that augments existing...
Meta-evaluation of Summaries in a Cross-lingual Environment Using Content-based Metrics (2002)
Horacio Saggion, Sheeld S Dp, England Uk, Dragomir Radev, Simone Teufel, Wai Lam
We describe a framework for the evaluation of summaries in English and Chinese using similarity measures. The framework can be used to evaluate extractive, non-extractive, single and multi-document...
Probabilistic Question Answering on the Web (2002)
Dragomir Radev, Weiguo Fan, Hong Qi, Harris Wu, Amardeep Grewal
Web-based search engines such as Google and NorthernLight return documents that are relevant to a user query, not answers to user questions. We have developed an architecture that augments existing...
Probabilistic Question Answering on the Web (2002)
Dragomir Radev, Weiguo Fan, Hong Qi, Harris Wu, Amardeep Grewal
Web-based search engines such as Google and NorthernLight return documents that are relevant to a user query, not answers to user questions. We have developed an architecture that augments existing...
Horacio Saggion, Dragomir Radev, Simone Teufel, Wai Lam, Stephanie M. Strassel
We describe our work on the development of Language and Evaluation Resources for the evaluation of summaries in English and Chinese. The language resources include a parallel corpus of English and...
Multi Document Centroid-based Text Summarization (2002)
1.1 Text summarization Text summarization is the process of taking a text document and creating a compressed version that consists of the most useful information for the user.
Multi Document Centroid-based Text Summarization (2002)
1.1 Text summarization Text summarization is the process of taking a text document and creating a compressed version that consists of the most useful information for the user.
Horacio Saggion, Dragomir Radev, Simone Teufel, Wai Lam, Stephanie M. Strassel
We describe our work on the development of Language and Evaluation Resources for the evaluation of summaries in English and Chinese. The language resources include a parallel corpus of English and...
Horacio Saggion, Dragomir Radev, Simone Teufel, Wai Lam, Stephanie M. Strassel
We describe our work on the development of Language and Evaluation Resources for the evaluation of summaries in English and Chinese.
Answering what-is questions by virtual annotation (2001)
John Prager, Dragomir Radev, Krzysztof Czuba
We present the technique of Virtual Annotation as a specialization of Predictive Annotation for answering definitional What is questions. These questions generally have the property that the type of...
Evaluation of Text Summarization in a Cross-lingual Information Retrieval Framework (2001)
Summer Johns, Hopkins Workshop, Dragomir Radev, Simone Teufel, Horacio Saggion, Wai Lam, ...
We report on research in multi-document summarization and on evaluation of summarization in the framework of cross-lingual information retrieval. This work was carried out during a summer workshop on...
Dragomir Radev, Hongyan Jing, Malgorzata Budzikowska
We present a multi-document summarizer, called MEAD, which generates summaries using cluster centroids produced by a topic detection and tracking system. We also describe two new techniques, based on...
The Use of Predictive Annotation for Question Answering in TREC8 (1999)
John Prager, Dragomir Radev, Eric Brown, Anni Coden
This paper introduces the technique of Predictive Annotation, a methodology for indexing texts for retrieval aimed at answering fact-seeking questions. The essence of the approach can be stated...
The Use of Predictive Annotation for Question Answering in TREC8 (1999)
John Prager, Dragomir Radev, Eric Brown, Anni Coden
This paper introduces the technique of Predictive Annotation, a methodology for indexing texts for retrieval aimed at answering fact-seeking questions. The essence of the approach can be stated...
Department: Computer Science.
Software Re-Use and Evolution in Text Generation Applications (1997)
Karen Kukich, Rebecca Passonneau, Kathleen Mckeown, Dragomir Radev, Vasileios Hatzivassiloglou, Hongyan Jing
A practical goal for natural language text generation research is to converge on a separation of functions into modules that can be independently re-used. This paper addresses issues related to...
Building a Generation Knowledge Source using Internet-Accessible Newswire (1997)
Internet-accessible Newswire, Dragomir Radev, Kathleen R. Mckeown
In this paper, we describe a method for automatic creation of a knowledge source for text generation using information extraction over the Internet. We present a prototype system called PROFILE which...
Alfred Aho, Shih-fu Chang, Kathleen Mckeown, Dragomir Radev, John Smith, Kazi Zaman
In this paper we describe an ongoing research project called the Columbia Digital News System. The goal of this project is to develop a suite of effective interoperable tools with which people can...
Chapter of the Assocation for Computational Linguistics, Madrid, Spain, (1997)
Dragomir Radev, Erin Doumpoulaki, Branimir Boguraev, Gael Dias, Hongyan Jing, Mark Kantrowitz, ...
This document contains a rather incomplete bibliography of research in text summarization. The list of references was compiled using materials provided
An Architecture for Distributed Natural Language Summarization (1996)
We present a system that incorporates agentbased technology and natural language generation to address the problem of natural language summarization of live sources of data. The input to the system...
Blind men and elephants: What do citation summaries tell us about a research article?
Elkiss, Aaron, Shen, Siwei, Fader, Anthony, Erkan, GÜneş, States, David, Radev, Dragomir
The old Asian legend about the blind men and the elephant comes to mind when looking at how different authors of scientific papers describe a piece of related prior work. It turns out that different...
This paper presents the results of a study on the semantic constraints imposed on lexical choice by certain contextual indicators. We show how such indicators are computed and how correlations...
Michigan molecular interactions r2: from interacting proteins to pathways
Tarcea, V. Glenn, Weymouth, Terry, Ade, Alex, Bookvich, Aaron, Gao, Jing, Mahavisno, Vasudeva, ...
Molecular interaction data exists in a number of repositories, each with its own data format, molecule identifier and information coverage. Michigan molecular interactions (MiMI) assists scientists...