Ph.D. Student in CS @ Columbia
Hey there!
I am a PhD student in Computer Science at Columbia University. Within the department I am a part of the Natural Language Processing group , where I am advised by Smaranda Muresan .I also work with Violet Peng at UCLA PLUS Lab. In the past I worked with Kathleen Mckeown. My research interests are broadly in Natural Language Processing and Machine Learning, with special focus in Content Planning and Role Of Structured Common sense in Language generation, Style Transfer using unsupervised or weakly supervised approaches and teaching machines how to think critically in the realms of Discourse and Argumentation (Understanding and Generation). Prior to joining Grad school I was an engineer at UBER. For more information about me, see my CV or contact me.
My introduction to NLP was through my friend Chris Hidey who mentored me and helped me write several papers. As an act of giving back to the community, I am happy to advise undergrads and master students about grad school applications and/or how to get involved in NLP research. If you are at Columbia and want to work with me , please send me an email. Currently I mentor the following students:
Fun fact about me :
- My first NLP paper has a Syntactic Ambiguity in it
- As a creative person, I think a lot about figurative comparisons and so I devised a model for generating similes now published in EMNLP proceedings
- Along with my brilliant colleague I built a model for generating stories now published in EMNLP proceedings
- I wrote an algorithm for generating sarcasm now published in ACL proceedings ;)
Recent News
- Spoke about Computational Creativity in High-Theory podcast
- Joining AI2 MOSAIC as an intern for summer 2021
- Our ACL 2020 Paper Deseption was taught in the Misinformation Detection Lecture(11/06) at UIUC "Information Extraction and Knowledge Acquisition" [Details here]
- Gave a talk at Columbia NLP Seminar on October 9th titled "The role of CommonSense in Figurative Language Generation" [Details here]
- 2/2 long papers on Controllable Creative NLG accepted at EMNLP 2020 main conference
- 1 long paper on Sarcasm Generation accepted at ACL 2020
Papers
2021
ENTRUST: Argument Reframing with Language Models and Entailment
Tuhin Chakrabarty , Christopher Hidey and Smaranda Muresan
In Proceedings of NAACL 2021 ,Mexico City, Mexico.
[PDF]
[Code and Data]
Tags: Language Generation, Argumentation
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding
Tuhin Chakrabarty ,Xurui Zhang, Smaranda Muresan and Nanyun Peng
In Proceedings of NAACL 2021 ,Mexico City, Mexico.
[PDF]
[Code and Data]
Tags: Creative Language Generation, Figurative Language, Computational Creativity
Identifying Distributional Perspective Differences from Colingual Groups
Yufei Tian , Tuhin Chakrabarty , Fred Morstatter, Nanyun Peng
In Proceedings of SocialNLP@NAACL 2021 ,Mexico City, Mexico.
[PDF]
[Code and Data]
Tags: Discourse Understanding, Argumentation
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation
Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty ,Xuezhe Ma, Aram Galstyan, Nanyun Peng
In Proceedings of NAACL 2021 (Demo Track) ,Mexico City, Mexico.
[PDF]
[Code and Data]
Tags: Controllable Language Generation, Dialogue Generation, Knowledge Grounding
2020
Generating similes effortlessly like a Pro : A Style Transfer Approach for Simile Generation
Tuhin Chakrabarty , Smaranda Muresan and Nanyun Peng
In Proceedings of EMNLP 2020 ,Punta Cana, Dominican Republic.
Tags: Creative Language Generation, Figurative Language, Computational Creativity
Content Planning for Neural Story Generation with Aristotelian Rescoring
Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty , Ralph Weischedel and Nanyun Peng
In Proceedings of EMNLP 2020 ,Punta Cana, Dominican Republic.
Tags: Creative Language Generation, Narrative, Computational Creativity
R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
Tuhin Chakrabarty , Debanjan Ghosh, Smaranda Muresan and Nanyun Peng
In Proceedings of ACL 2020 ,Seattle, WA.
Tags: Creative Language Generation, Figurative Language, Computational Creativity
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
Christopher Hidey, Tuhin Chakrabarty , Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona Diab and Smaranda Muresan.
In Proceedings of ACL 2020 ,Seattle, WA.
Tags: Fact Checking, Discourse, Argumentation
2019
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
Tuhin Chakrabarty , Christopher Hidey, Smaranda Muresan, Kathy McKeown and Alyssa Hwang.
In Proceedings of EMNLP 2019 ,Hong Kong.
Tags: Discourse, Argumentation
IMHO Fine Tuning Improves Claim Detection
Tuhin Chakrabarty , Christopher Hidey and Kathy McKeown.
In Proceedings of NAACL 2019 ,Minneapolis, MN.
Tags: Discourse, Argumentation
Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks
Siddharth Varia ,Christopher Hidey, Tuhin Chakrabarty
In Proceedings of SIGDIAL 2019 ,Stockholm, Sweden
Tags: , Discourse
Pay "Attention'' to your Context when Classifying Abusive Language
Tuhin Chakrabarty ,Kilol Gupta, Smaranda Muresan.
In Proceedings of 3rd Abusive Language Workshop ,ACL 2019 Florence, Italy.
Tags: NLP For Social Good
The Answer is Language Model Fine-tuning
Tuhin Chakrabarty ,Smaranda Muresan.
In Proceedings of the 13th International Workshop on Semantic Evaluation , NAACL-HLT , Minneapolis, USA, June 2019
[PDF]
Tags: Discourse, Argumentation
2018
Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification
Tuhin Chakrabarty ,Tariq Alhindi , Smaranda Muresan
In Proceedings of the First Workshop on Fact Extraction and VERification (FEVER) ,EMNLP ,Brussels ,2018