I'm a Ph.D. student in Computer Science at Columbia University where I am part of the natural language processing group since Fall 2017. My research advisor is Smaranda Muresan.
Prior to joining Columbia, I worked as a Research Associate at the Center for Complex Engineering Systems (CCES) that is held jointly at King Abdulaziz City for Science and Technology (KACST) and MIT.
Email:   tariq [at] cs [dot] columbia [dot] edu
My research is in natural language understanding and machine learning. I work on developing computational models to facilitate the automatic detection of misinformation. I am mostly interested in understanding how argumentation mining and discourse analysis can be used to improve misinformation detection on text from multiple genres.
Fact vs. Opinion: the Role of Argumentation Features in News Classification.
Tariq Alhindi, Smaranda Muresan, and Daniel Preotiuc-Pietro.
To appear in proceedings of the 28th International Conference on Computational Linguistics ( COLING ) 2020.
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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.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics ( ACL ) 2020.
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Machine Generation and Detection of Arabic Manipulated and Fake News
El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed, Tariq Alhindi, and Hasan Cavusoglu.
Proceedings of the 5th Arabic Natural Language Processing Workshop ( WANLP ), COLING 2020.
Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels
Tariq Alhindi, Jonas Pfeiffer, and Smaranda Muresan.
[ CUNLP @leaderboard ]
Proceedings of The 2nd workshop on NLP for Internet Freedom
( NLP4IF ): Censorship,
Disinformation and Propaganda. EMNLP 2019.
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Spider-Jerusalem at SemEval-2019 Task 4: Hyperpartisan News Detection
Amal Alabdulkarim, Tariq Alhindi.
[ Spider-Jerusalem @leaderboard ]
Proceedings of The 13th International Workshop on Semantic Evaluation
( SemEval ), NAACL 2019.
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Where is your Evidence: Improving Fact-checking by Justification Modeling
Tariq Alhindi, Savvas Petridis, and Smaranda Muresan.
Proceedings of The First Workshop on Fact Extraction and Verification
( FEVER ), EMNLP 2018.
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Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification
Tuhin Chakrabarty, Tariq Alhindi, and Smaranda Muresan.
[ ColumbiaNLP @leaderboard ]
Proceedings of The First Workshop on Fact Extraction and Verification
( FEVER ), EMNLP 2018.
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A Multi-layer Annotated Corpus of Argumentative Text: From Argument Schemes to Discourse Relations
Elena Musi, Tariq Alhindi, Manfred Stede, Leonard Kriese, Smaranda Muresan, and Andrea Rocci.
Proceedings of Language Resources and Evaluation Conference ( LREC ) 2018.
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Candidacy Exam Talk at the NLP group, CS Dept, Columbia University. March, 2020.
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Title: A Review of the Literature on Automatic Fact-Checking, Fake News Detection and Argumentation.
Invited Talk at WikiConference North America 2019 at MIT.
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Title: Building, Breaking and Fixing Models for Fact-Checking. Cambridge, MA. Nov, 2019.
Poster Talk at FEVER workshop. Justification modeling for fact-checking. Brussels, Belguim. Nov, 2018.
Poster Talk at FEVER workshop. Our shared task system for fact-checking. Brussels, Belguim. Nov, 2018.
Invited Talk at the NLP group, iSchool, University of British Columbia. Vancouver, Canada. August, 2018.
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Oral Presentation at LREC conference. Miyazaki, Japan. May, 2018. [ slides ]
Fall 2018: TA for COMS 4111: Introduction to Databases with Donald Ferguson
Spring 2019: TA for COMS 4705: Natural Language Processing with Yassine Benajiba