 | 2011 |
|---|
| 12 |       | Günes Erkan,
Dragomir R. Radev:
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
CoRR abs/1109.2128: (2011) |
| 2009 |
|---|
| 11 | | Jahna Otterbacher,
Günes Erkan,
Dragomir R. Radev:
Biased LexRank: Passage retrieval using random walks with question-based priors.
Inf. Process. Manage. 45(1): 42-54 (2009) |
| 2008 |
|---|
| 10 | | Arzucan Özgür,
Thuy Vu,
Günes Erkan,
Dragomir R. Radev:
Identifying gene-disease associations using centrality on a literature mined gene-interaction network.
ISMB 2008: 277-285 |
| 9 | | Aaron Elkiss,
Siwei Shen,
Anthony Fader,
Günes Erkan,
David J. States,
Dragomir R. Radev:
Blind men and elephants: What do citation summaries tell us about a research article?
JASIST 59(1): 51-62 (2008) |
| 2007 |
|---|
| 8 | | Günes Erkan,
Arzucan Özgür,
Dragomir R. Radev:
Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency Parsing.
EMNLP-CoNLL 2007: 228-237 |
| 2006 |
|---|
| 7 | | Siwei Shen,
Dragomir R. Radev,
Agam Patel,
Günes Erkan:
Adding Syntax to Dynamic Programming for Aligning Comparable Texts for the Generation of Paraphrases.
ACL 2006 |
| 6 | | Dragomir R. Radev,
Günes Erkan,
Anthony Fader,
Patrick Jordan,
Siwei Shen,
James P. Sweeney:
LexNet: A Graphical Environment for Graph-Based NLP.
ACL 2006 |
| 5 | | Günes Erkan:
Language Model-Based Document Clustering Using Random Walks.
HLT-NAACL 2006 |
| 2005 |
|---|
| 4 | | Jahna Otterbacher,
Günes Erkan,
Dragomir R. Radev:
Using Random Walks for Question-focused Sentence Retrieval.
HLT/EMNLP 2005 |
| 2004 |
|---|
| 3 | | Günes Erkan,
Dragomir R. Radev:
LexPageRank: Prestige in Multi-Document Text Summarization.
EMNLP 2004: 365-371 |
| 2 | | Günes Erkan:
The University of Michigan in Novelty 2004.
TREC 2004 |
| 1 | | Günes Erkan,
Dragomir R. Radev:
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization.
J. Artif. Intell. Res. (JAIR) 22: 457-479 (2004) |
Data released under the ODC-BY 1.0 license — See also our legal information page