Nina Wacholder
Nina Wacholder
Library and Information Science, School of Communication and Information, Rutgers University
Verified email at rutgers.edu
Title
Cited by
Cited by
Year
Identifying sarcasm in Twitter: a closer look
R González-Ibánez, S Muresan, N Wacholder
Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011
6252011
Disambiguation of proper names in text
N Wacholder, Y Ravin, M Choi
Fifth Conference on Applied Natural Language Processing, 202-208, 1997
2691997
Processing names in a text
Y Ravin, MA Choi, FN Wacholder
US Patent 5,819,265, 1998
1691998
Analyzing argumentative discourse units in online interactions
D Ghosh, S Muresan, N Wacholder, M Aakhus, M Mitsui
Proceedings of the first workshop on argumentation mining, 39-48, 2014
1062014
Extracting names from natural-language text
Y Ravin, N Wacholder
IBM Thomas J. Watson Research Division, 1997
881997
Using canonical forms to develop a dictionary of names in a text
RJ Byrd Jr, MA Choi, Y Ravin, FN Wacholder
US Patent 5,832,480, 1998
871998
From dictionary to knowledge base via taxonomy
Thomas J. Watson IBM Research Center. Research Division, JL Klavans, ...
761991
Automatic identification and organization of index terms for interactive browsing
N Wacholder, DK Evans, JL Klavans
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries …, 2001
582001
Using interview data to identify evaluation criteria for interactive, analytical question‐answering systems
D Kelly, N Wacholder, R Rittman, Y Sun, P Kantor, S Small, T Strzalkowski
Journal of the American Society for Information Science and Technology 58 (7 …, 2007
412007
Identification of nonliteral language in social media: A case study on sarcasm
S Muresan, R Gonzalez‐Ibanez, D Ghosh, N Wacholder
Journal of the Association for Information Science and Technology 67 (11 …, 2016
372016
Hitiqa: Towards analytical question answering
S Small, T Strzalkowski, T Liu, S Ryan, R Salkin, N Shimizu, P Kantor, ...
STATE UNIV OF NEW YORK AT ALBANY, 2004
332004
Simplex NPs clustered by head: a method for identifying significant topics within a document
N Wacholder
The Computational Treatment of Nominals, 1998
331998
A model for quantitative evaluation of an end‐to‐end question‐answering system
N Wacholder, D Kelly, P Kantor, R Rittman, Y Sun, B Bai, S Small, ...
Journal of the American Society for Information Science and Technology 58 (8 …, 2007
302007
Document Processing with LinkIT.
DK Evans, JL Klavans, N Wacholder
RIAO, 1336-1345, 2000
302000
Interactive query formulation
N Wacholder
Annual review of information science and technology 45 (1), 157-196, 2011
252011
User preference: A measure of query‐term quality
N Wacholder, L Liu
Journal of the American Society for Information Science and Technology 57 …, 2006
252006
Disambiguation of proper names in text
Y Ravin, N Wacholder, M Choi
Proceedings of the 17th Annual ACM-SIGIR Conference 10 (974557.974587), 1997
251997
Evaluating the impact of MeSH (Medical Subject Headings) terms on different types of searchers
YH Liu, N Wacholder
Information Processing & Management 53 (4), 851-870, 2017
242017
Annotating multiparty discourse: Challenges for agreement metrics
N Wacholder, S Muresan, D Ghosh, M Aakhus
Proceedings of LAW VIII-The 8th Linguistic Annotation Workshop, 120-128, 2014
172014
Assessing term effectiveness in the interactive information access process
N Wacholder, L Liu
Information Processing & Management 44 (3), 1022-1031, 2008
162008
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