Year |
Citation |
Score |
2021 |
Agarwal O, Yang Y, Wallace BC, Nenkova A. Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve Computational Linguistics. 47: 117-140. DOI: 10.1162/coli_a_00397 |
0.353 |
|
2017 |
Yang Y, Nenkova A. Combining Lexical and Syntactic Features for Detecting Content-Dense Texts in News Journal of Artificial Intelligence Research. 60: 179-219. DOI: 10.1613/Jair.5418 |
0.355 |
|
2015 |
Hong K, Nenkova A, March ME, Parker AP, Verma R, Kohler CG. Lexical use in emotional autobiographical narratives of persons with schizophrenia and healthy controls. Psychiatry Research. 225: 40-9. PMID 25480546 DOI: 10.1016/J.Psychres.2014.10.002 |
0.344 |
|
2015 |
Cao H, Verma R, Nenkova A. Speaker-sensitive emotion recognition via ranking: Studies on acted and spontaneous speech(☆) Computer Speech & Language. 28: 186-202. PMID 25422534 DOI: 10.1016/J.Csl.2014.01.003 |
0.344 |
|
2015 |
Cao H, Savran A, Verma R, Nenkova A. Acoustic and Lexical Representations for Affect Prediction in Spontaneous Conversations. Computer Speech & Language. 29: 203-217. PMID 25382936 DOI: 10.1016/J.Csl.2014.04.002 |
0.407 |
|
2014 |
Savran A, Cao H, Nenkova A, Verma R. Temporal Bayesian Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities. Ieee Transactions On Cybernetics. PMID 25347894 DOI: 10.1109/Tcyb.2014.2362101 |
0.356 |
|
2013 |
Louis A, Nenkova A. What Makes Writing Great? First Experiments on Article Quality Prediction in the Science Journalism Domain Transactions of the Association For Computational Linguistics. 1: 341-352. DOI: 10.1162/Tacl_A_00232 |
0.586 |
|
2013 |
Louis A, Nenkova A. Automatically assessing machine summary content without a gold standard Computational Linguistics. 39: 267-300. DOI: 10.1162/Coli_A_00123 |
0.59 |
|
2012 |
Nenkova A, McKeown K. A survey of text summarization techniques Mining Text Data. 2147483647: 43-76. DOI: 10.1007/978-1-4614-3223-4_3 |
0.535 |
|
2011 |
Nenkova A, McKeown K. Automatic summarization Foundations and Trends in Information Retrieval. 5: 103-233. DOI: 10.1561/1500000015 |
0.57 |
|
2011 |
Siddharthan A, Nenkova A, McKeown K. Information status distinctions and referring expressions: An empirical study of references to people in news summaries Computational Linguistics. 37: 811-842. DOI: 10.1162/Coli_A_00077 |
0.654 |
|
2010 |
Bitouk D, Verma R, Nenkova A. Class-Level Spectral Features for Emotion Recognition. Speech Communication. 52: 613-625. PMID 23794771 DOI: 10.1016/J.Specom.2010.02.010 |
0.352 |
|
2010 |
Nenkova A, Chae J, Louis A, Pitler E. Structural features for predicting the linguistic quality of text: Applications to machine translation, automatic summarization and human-authored text Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5790: 222-241. DOI: 10.1007/978-3-642-15573-4_12 |
0.368 |
|
2007 |
Vanderwende L, Suzuki H, Brockett C, Nenkova A. Beyond SumBasic: Task-focused summarization with sentence simplification and lexical expansion. Information Processing & Management. 43: 1606-1618. PMID 32287938 DOI: 10.1016/J.Ipm.2007.01.023 |
0.398 |
|
2007 |
Nenkova A, Passonneau R, Mckeown K. The Pyramid Method: Incorporating human content selection variation in summarization evaluation Acm Transactions On Speech and Language Processing. 4. DOI: 10.1145/1233912.1233913 |
0.636 |
|
2005 |
McKeown K, Passonneau RJ, Elson DK, Nenkova A, Hirschberg J. Do summaries help? A task-based evaluation of multi-document summarization Sigir 2005 - Proceedings of the 28th Annual International Acm Sigir Conference On Research and Development in Information Retrieval. 210-217. DOI: 10.1145/1076034.1076072 |
0.55 |
|
2005 |
Nenkova A, Siddharthan A, McKeown K. Automatically learning cognitive status for multi-document summarization of newswire Hlt/Emnlp 2005 - Human Language Technology Conference and Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference. 241-248. |
0.51 |
|
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