Peter Potash

Graduated: Aug 2017

Degree: PhD

Current position: Microsoft Research Maluuba

Peter Potash

I received a Masters in Mathematics and a PhD in Computer Science. My dissertation focused on deep learning strategies for argument mining. I currently work at MSR Maluuba.

Homepage

Programming

Python

Machine Learning

TensorFlow scikit-learn PyTorch

Languages

English

P. Potash A. Romanov A. Rumshisky GhostWriter: Using an LSTM for Automatic Rap Lyric Generation. (short paper). Proceedings of EMNLP 2015.

@inproceedings{potash2015ghostwriter,
title={Ghostwriter: Using an lstm for automatic rap lyric generation},
author={Potash, Peter and Romanov, Alexey and Rumshisky, Anna},
booktitle={Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing},
pages={1919–1924},
year={2015}
}

P. Potash A. Rumshisky Recommender System Incorporating User Personality Profile through Analysis of Written Reviews. Proceedings of the EMPIRE workshop at the ACM Conference on Recommender Systems (RecSys 2016).

@article{potash_recommender_2016, author = “Potash, Peter and Rumshisky, Anna”, title = “Recommender System Incorporating User Personality Proﬁle through Analysis of Written Reviews”, language = “en”, journal = “Proceedings of EMPIRE workshop at the ACM Conference on Recommender Systems”, year = “2016”, pages = “7” }

P. Potash A. Romanov A. Rumshisky Here's My Point: Joint Pointer Architecture for Argument Mining. Proceedings of EMNLP 2017.

@inproceedings{potash2017here,
title={Here’s My Point: Joint Pointer Architecture for Argument Mining},
author={Potash, Peter and Romanov, Alexey and Rumshisky, Anna},
booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
pages={1364–1373},
year={2017}
}

P. Potash R. Bhattacharya A. Rumshisky Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness. Proceedings of IJCNLP 2017.

@inproceedings{potash_length_2017,
author = “Potash, Peter and Bhattacharya, Robin and Rumshisky, Anna”,
address = “Taipei, Taiwan”,
title = “Length, {Interchangeability}, and {External} {Knowledge}: {Observations} from {Predicting} {Argument} {Convincingness}",
booktitle = “Proceedings of the {Eighth} {International} {Joint} {Conference} on {Natural} {Language} {Processing} ({Volume} 1: {Long} {Papers})",
publisher = “Asian Federation of Natural Language Processing”,
year = “2017”,
pages = “342–351”
}

P. Potash A. Romanov A. Rumshisky SemEval-2017 Task 6: HashtagWars: Learning a Sense of Humor. The 11th International Workshop on Semantic Evaluation (SemEval-2017). ACL 2017.

@inproceedings{potash_semeval-2017_2017,
author = “Potash, Peter and Romanov, Alexey and Rumshisky, Anna”,
address = “Vancouver, Canada”,
title = “{SemEval}-2017 {Task} 6: \#{HashtagWars}: {Learning} a {Sense} of {Humor}",
doi = “10.18653/v1/S17-2004”,
booktitle = “Proceedings of the 11th {International} {Workshop} on {Semantic} {Evaluation} ({SemEval}-2017)",
publisher = “Association for Computational Linguistics”,
year = “2017”,
pages = “49–57”
}

P. Potash A. Rumshisky Towards Debate Automation: a Recurrent Model for Predicting Debate Winners. Proceedings of EMNLP 2017.

@inproceedings{potash_towards_2017,
author = “Potash, Peter and Rumshisky, Anna”,
address = “Copenhagen, Denmark”,
title = “Towards {Debate} {Automation}: a {Recurrent} {Model} for {Predicting} {Debate} {Winners}",
booktitle = “Proceedings of the 2017 {Conference} on {Empirical} {Methods} in {Natural} {Language} {Processing}",
publisher = “Association for Computational Linguistics”,
year = “2017”,
pages = “2465–2475”
}

P. Potash A. Romanov M. Gronas A. Rumshisky M. Gronas Tracking Bias in News Sources Using Social Media: the Russia-Ukraine Maidan Crisis of 2013-2014. EMNLP 2017 Workshop "NLP Meets Journalism".

@inproceedings{potash_tracking_2017,
author = “Potash, Peter and Romanov, Alexey and Gronas, Mikhail and Rumshisky, Anna and Gronas, Mikhail”,
address = “Copenhagen, Denmark”,
title = “Tracking {Bias} in {News} {Sources} {Using} {Social} {Media}: the {Russia}-{Ukraine} {Maidan} {Crisis} of 2013–2014”,
booktitle = “Proceedings of the 2017 {EMNLP} {Workshop}: {Natural} {Language} {Processing} meets {Journalism}",
publisher = “Association for Computational Linguistics”,
year = “2017”,
pages = “13–18”
}

P. Potash A. Romanov A. Rumshisky Evaluating Creative Language Generation: The Case of Rap Lyric Ghostwriting. Proceedings of the Second Workshop on Stylistic Variation, Association for Computational Linguistics.

@inproceedings{potash_evaluating_2018,
author = “Potash, Peter and Romanov, Alexey and Rumshisky, Anna”,
address = “New Orleans”,
title = “Evaluating {Creative} {Language} {Generation}: {The} {Case} of {Rap} {Lyric} {Ghostwriting}",
booktitle = “Proceedings of the {Second} {Workshop} on {Stylistic} {Variation}",
publisher = “Association for Computational Linguistics”,
year = “2018”,
pages = “29--38”
}