NLPExplorer
Papers
Venues
Authors
Authors Timeline
Field of Study
URLs
ACL N-gram Stats
TweeNLP
API
Team
Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words
Debanjan Ghosh
|
Weiwei Guo
|
Smaranda Muresan
|
Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
EMNLP |
SIG: SIGDAT
1995
2000
2005
2010
2015
0
0.5
1
1.5
2
2.5
3
Yearly Citation Distribution
plotly-logomark
Citations
URL
Are Word Embedding-based Features Useful for Sarcasm Detection?
Aditya Joshi
|
Vaibhav Tripathi
|
Kevin Patel
|
Pushpak Bhattacharyya
|
Mark Carman
|
Robust Gram Embeddings
Taygun Kekeç
|
David M. J. Tax
|
Disambiguating False-Alarm Hashtag Usages in Tweets for Irony Detection
Hen-Hsen Huang
|
Chiao-Chen Chen
|
Hsin-Hsi Chen
|
KLUEnicorn at SemEval-2018 Task 3: A Naive Approach to Irony Detection
Luise Dürlich
|
The Role of Conversation Context for Sarcasm Detection in Online Interactions
Debanjan Ghosh
|
Alexander Richard Fabbri
|
Smaranda Muresan
|
Detecting Sarcasm is Extremely Easy ;-)
Natalie Parde
|
Rodney Nielsen
|
https://github.com/debanjanghosh/sarcasm
https://radimrehurek.com/gensim/models/word2vec.html
http://www.ark.cs.cmu.edu/TweetNLP/
http://nlp.stanford.edu/projects/glove/
Field Of Study
Linguistic Trends
Distributional Semantics
Embeddings
Task
Word Sense Disambiguation
Semantic Similarity
Approach
Kernel Method
Language
English
Dataset
Twitter
Similar Papers
Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach
Shafiq Joty
|
Tasnim Mohiuddin
|
Indicative Tweet Generation: An Extractive Summarization Problem?
Priya Sidhaye
|
Jackie Chi Kit Cheung
|
Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis.
Diana Maynard
|
Mark Greenwood
|
TwitIE: An Open-Source Information Extraction Pipeline for Microblog Text
Kalina Bontcheva
|
Leon Derczynski
|
Adam Funk
|
Mark Greenwood
|
Diana Maynard
|
Niraj Aswani
|
Argumentation Mining in User-Generated Web Discourse
Ivan Habernal
|
Iryna Gurevych
|