Sara Rosenthal
Sara Rosenthal
IBM Research
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cs.columbia.edu
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Παρατίθεται από
Παρατίθεται από
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SemEval-2017 task 4: Sentiment analysis in Twitter
S Rosenthal, N Farra, P Nakov
Proceedings of the 11th international workshop on semantic evaluation …, 2017
10942017
SemEval-2014 Task 9: Sentiment Analysis in Twitter
S Rosenthal, A Ritter, P Nakov, V Stoyanov
Proceedings of the 8th International Workshop on Semantic Evaluation …, 2014
1088*2014
SemEval-2016 task 4: Sentiment analysis in Twitter
P Nakov, A Ritter, S Rosenthal, F Sebastiani, V Stoyanov
Proceedings of the 10th international workshop on semantic evaluation …, 2016
10182016
Semeval-2015 task 10: Sentiment analysis in twitter
S Rosenthal, P Nakov, S Kiritchenko, S Mohammad, A Ritter, V Stoyanov
Proceedings of the 9th international workshop on semantic evaluation …, 2015
419*2015
Semeval-2019 task 6: Identifying and categorizing offensive language in social media (offenseval)
M Zampieri, S Malmasi, P Nakov, S Rosenthal, N Farra, R Kumar
arXiv preprint arXiv:1903.08983, 2019
3062019
Predicting the Type and Target of Offensive Posts in Social Media
M Zampieri, S Malmasi, P Nakov, S Rosenthal, N Farra, R Kumar
NAACL 2019, 2019
2392019
Age prediction in blogs: A study of style, content, and online behavior in pre-and post-social media generations
S Rosenthal, K McKeown
Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011
1922011
Semeval-2020 task 12: Multilingual offensive language identification in social media (offenseval 2020)
M Zampieri, P Nakov, S Rosenthal, P Atanasova, G Karadzhov, ...
arXiv preprint arXiv:2006.07235, 2020
1142020
Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts
P Nakov, S Rosenthal, S Kiritchenko, SM Mohammad, Z Kozareva, ...
Language Resources and Evaluation 50 (1), 35-65, 2016
872016
A large-scale semi-supervised dataset for offensive language identification
S Rosenthal, P Atanasova, G Karadzhov, M Zampieri, P Nakov
arXiv preprint arXiv:2004.14454, 2020
632020
I couldn’t agree more: The role of conversational structure in agreement and disagreement detection in online discussions
S Rosenthal, K McKeown
Proceedings of the 16th Annual Meeting of the Special Interest Group on …, 2015
572015
Detecting opinionated claims in online discussions
S Rosenthal, K McKeown
2012 IEEE sixth international conference on semantic computing, 30-37, 2012
562012
Detecting influencers in written online conversations
O Biran, S Rosenthal, J Andreas, K McKeown, O Rambow
Proceedings of the Second Workshop on Language in Social Media, 37-45, 2012
552012
Time-efficient creation of an accurate sentence fusion corpus
K McKeown, S Rosenthal, K Thadani, C Moore
Human Language Technologies: The 2010 Annual Conference of the North …, 2010
372010
Corpus creation for new genres: A crowdsourced approach to PP attachment
M Jha, J Andreas, K Thadani, S Rosenthal, K McKeown
Proceedings of the NAACL HLT 2010 workshop on creating speech and language …, 2010
342010
Who, what, when, where, why? comparing multiple approaches to the cross-lingual 5w task
K Parton, K McKeown, RE Coyne, MT Diab, R Grishman, D Hakkani-Tür, ...
312009
Annotating Agreement and Disagreement in Threaded Discussion.
J Andreas, S Rosenthal, KR McKeown
LREC, 818-822, 2012
272012
Detecting Influencers in Social Media Discussions
S Rosenthal
Columbia University, 2015
232015
Detecting influencers in multiple online genres
S Rosenthal, K Mckeown
ACM Transactions on Internet Technology (TOIT) 17 (2), 1-22, 2017
202017
Columbia nlp: Sentiment detection of subjective phrases in social media
S Rosenthal, K McKeown
Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013
122013
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