NLPExplorer
Papers
Venues
Authors
Authors Timeline
Field of Study
URLs
ACL N-gram Stats
TweeNLP
API
Team
Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing
Vinodkumar Prabhakaran
|
William L. Hamilton
|
Dan McFarland
|
Dan Jurafsky
|
Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
1995
2000
2005
2010
2015
−1
0
1
2
3
4
Yearly Citation Distribution
plotly-logomark
Citations
URL
Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts
Chenhao Tan
|
Dallas Card
|
Noah A. Smith
|
http://www.ncbi.nlm.nih.gov/pubmed/10435405
Field Of Study
Linguistic Trends
Discourse
Typology
Task
Discourse Parsing
Information Retrieval
Summarization
Biomedical
Approach
Topic Modeling
Dataset
Scientific Literature
Similar Papers
A Preliminary Study of Tweet Summarization using Information Extraction
Wei Xu
|
Ralph Grishman
|
Adam Meyers
|
Alan Ritter
|
Argumentation Mining in User-Generated Web Discourse
Ivan Habernal
|
Iryna Gurevych
|
Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations
Arkaitz Zubiaga
|
Elena Kochkina
|
Maria Liakata
|
Rob Procter
|
Michal Lukasik
|
TwitIE: An Open-Source Information Extraction Pipeline for Microblog Text
Kalina Bontcheva
|
Leon Derczynski
|
Adam Funk
|
Mark Greenwood
|
Diana Maynard
|
Niraj Aswani
|
Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis.
Diana Maynard
|
Mark Greenwood
|