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Peter Potash
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2020 – today
- 2023
- [c13]Keming Lu, Peter Potash, Xihui Lin, Yuwen Sun, Zihan Qian, Zheng Yuan, Tristan Naumann, Tianxi Cai, Junwei Lu
:
Prompt Discriminative Language Models for Domain Adaptation. ClinicalNLP@ACL 2023: 247-258 - 2020
- [c12]Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck:
Operationalizing the Legal Principle of Data Minimization for Personalization. SIGIR 2020: 399-408 - [i6]Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck:
Operationalizing the Legal Principle of Data Minimization for Personalization. CoRR abs/2005.13718 (2020)
2010 – 2019
- 2019
- [c11]Peter Potash, Adam Ferguson, Timothy J. Hazen:
Ranking Passages for Argument Convincingness. ArgMining@ACL 2019: 146-155 - [i5]Peter Potash:
The Effect of Downstream Classification Tasks for Evaluating Sentence Embeddings. CoRR abs/1904.02228 (2019) - [i4]Peter Potash, Kaheer Suleman:
Playing log(N)-Questions over Sentences. CoRR abs/1908.04660 (2019) - 2017
- [c10]Peter Potash, Alexey Romanov, Anna Rumshisky, Mikhail Gronas:
Tracking Bias in News Sources Using Social Media: the Russia-Ukraine Maidan Crisis of 2013-2014. NLPmJ@EMNLP 2017: 13-18 - [c9]Peter Potash, Alexey Romanov, Anna Rumshisky:
Here's My Point: Joint Pointer Architecture for Argument Mining. EMNLP 2017: 1364-1373 - [c8]Peter Potash, Anna Rumshisky:
Towards Debate Automation: a Recurrent Model for Predicting Debate Winners. EMNLP 2017: 2465-2475 - [c7]Peter Potash, Robin Bhattacharya, Anna Rumshisky:
Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness. IJCNLP(1) 2017: 342-351 - [c6]Peter Potash, Alexey Romanov, Anna Rumshisky:
SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor. SemEval@ACL 2017: 49-57 - [c5]Anna Rumshisky, Mikhail Gronas, Peter Potash, Mikhail Dubov, Alexey Romanov, Saurabh Kulshreshtha, Alex Gribov:
Combining Network and Language Indicators for Tracking Conflict Intensity. SocInfo (2) 2017: 391-404 - 2016
- [c4]Peter Potash, Anna Rumshisky:
Recommender System Incorporating User Personality Profile through Analysis of Written Reviews. EMPIRE@RecSys 2016: 60-66 - [c3]Peter Potash, William Boag, Alexey Romanov, Vasili Ramanishka, Anna Rumshisky:
SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity. SemEval@NAACL-HLT 2016: 741-748 - [i3]Peter Potash, Alexey Romanov, Anna Rumshisky:
Evaluating Creative Language Generation: The Case of Rap Lyric Ghostwriting. CoRR abs/1612.03205 (2016) - [i2]Peter Potash, Alexey Romanov, Anna Rumshisky:
#HashtagWars: Learning a Sense of Humor. CoRR abs/1612.03216 (2016) - [i1]Peter Potash, Alexey Romanov, Anna Rumshisky:
Here's My Point: Argumentation Mining with Pointer Networks. CoRR abs/1612.08994 (2016) - 2015
- [c2]Peter Potash, Alexey Romanov, Anna Rumshisky:
GhostWriter: Using an LSTM for Automatic Rap Lyric Generation. EMNLP 2015: 1919-1924 - [c1]William Boag, Peter Potash, Anna Rumshisky:
TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis. SemEval@NAACL-HLT 2015: 640-646
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