Esin Durmus


Contact me: ed459 AT cornell DOT edu

Welcome! I am Esin Durmus. I am a PhD candidate in Cornell University Computer Science department advised by Claire Cardie.

Research Interests

  • Natural Language Processing
  • Natural Language Generation
  • Interpretability & Evaluation
  • Argument Generation
  • Argumentation Mining
  • Computational Social Science
  • Social Media Analysis


My research in more detail

My research focuses on understanding the characteristics of persuasive argumentative text and automatic argumentative text generation. I have studied the effect of language, source and audience effects in computational argumentation. Moreover, more recently, I have studied automated argumentative text generation focusing on important subtasks for this problem.
I am also interested in interpretation and evaluation of natural language processing and machine learning models. I believe that understanding the behaviour of these models is the key to improve and use them in real world applications.


News

  • Selected as one of the Rising Stars in EECS 2019 by UIUC.
  • We have a long paper accepted to EMNLP 2019.
  • We have two papers accepted to be presented at ACL 2019.
  • Our paper 'Modeling the Factors of User Success in Online Debate' got accepted to WWW (The Web Conference) 2019.
  • Our work on 'Understanding the Effect of Gender and Stance on Opinion Expression in Debates on "Abortion"' got accepted to PEOPLES workshop 2018 co-organized with NAACL for oral presentation.
  • Our work on "Exploring the Role of Prior Beliefs for Argument Persuasion" got accepted to NAACL 2018 for oral presentation.

Publications

  • The Role of Pragmatic and Discourse Context in Determining Argument Impact
    Esin Durmus, Faisal Ladhak and Claire Cardie
    To appear in EMNLP 2019.

  • Determining Relative Argument Specificity and Stance for Complex Argumentative Structures.
    Esin Durmus, Faisal Ladhak and Claire Cardie.
    In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019.

  • A Corpus for Modeling User and Language Effects in Argumentation on Online Debating.
    Esin Durmus and Claire Cardie.
    In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019.

  • Persuasion of the Undecided: Language vs. the Listener.
    Liane Longpre, Esin Durmus and Claire Cardie
    In Proceedings of the 6th Workshop in Argumentation Mining 2019.

  • Modeling the Factors of User Success in Online Debate.
    Esin Durmus and Claire Cardie.
    In Proceedings of the 2019 World Wide Web Conference (WWW '19), May 13–17, 2019, San Francisco, CA, USA.

  • Exploring the Role of Prior Beliefs for Argument Persuasion.
    Esin Durmus and Claire Cardie.
    In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2018.

  • Understanding the Effect of Gender and Stance on Opinion Expression in Debates on "Abortion”.
    Esin Durmus and Claire Cardie.
    In Proceedings of PEOPLES2018 workshop (co-organized with NAACL) on computational modeling of peoples opinions, personality, and emotions in social media.

  • Cornell Belief and Sentiment System at TAC 2016.
    Vlad Niculae, Kai Sun, Xilun Chen, Yao Cheng, Xinya Du, Esin Durmus, Arzoo Katiyar and Claire Cardie.
    Text Analysis Conference (TAC), 2016.

Datasets

Please send me an email if you need access to any of the datasets I have released.


Teaching

  • Introduction to Natural Language Processing, Cornell University. Fall 2016, Fall 2017, Fall 2019.
  • Machine Learning for Data Science, Cornell University. Spring 2016.
  • Introduction to Web Design, Cornell University. Fall 2015.

Research Mentorship Experience

I have had opportunity to mentor several Undergraduate and Master students in Cornell to help them develop skills in conducting research and writing research papers in NLP with the help of my advisor Claire Cardie.

Students

  • Xinran Zhao: Spring 2018 - Present
  • Jialu Li: Fall 2018 - Present
  • Liane Longpre: Fall 2018 - Summer 2019

Industry Experience

  • Applied Scientist Intern in Amazon AWS. Summer 2019 - Present. Working with Mona Diab and He He.
  • Applied Scientist Intern in Amazon Alexa. Summer 2017.

Contact

You can contact me at ed459 AT cornell DOT edu.

Design: HTML5 UP.