Hi!

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

Research Interests

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.

Selected Publications

• AraStance: A Multi-Country and Multi-Domain Dataset for Arabic Stance Detection
  Tariq Alhindi, Amal Alabdulkarim, Ali Alshehri, Muhammad Abdul-Mageed and Preslav Nakov
  To appear in proceedings of The 4th workshop on NLP for Internet Freedom
  ( NLP4IF ): Censorship, Disinformation and Propaganda. NAACL 2021.
  

• ''Sharks are not the threat humans are'': Argument Component Segmentation in School Student Essays
  Tariq Alhindi and Debanjan Ghosh
  Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications
  ( BEA ), EACL 2021.
  [ code + data ] [ slides ] [ BibTeX ]

• Fact vs. Opinion: the Role of Argumentation Features in News Classification
  Tariq Alhindi, Smaranda Muresan, and Daniel Preotiuc-Pietro
  Proceedings of the 28th International Conference on Computational Linguistics ( COLING ) 2020.
  [ data1 ] [ data2 ] [ slides ]
  [ video ] [ BibTeX ]

• 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.
  [ code ] [ data ] [ slides ]
  [ video ] [ BibTeX ]

• 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.
  [ code ] [ data ] [ poster ] [ BibTeX ]

• 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.
  [ code + data ] [ poster ] [ BibTeX ]

Other Work

• 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.
  [ code + data ] [ slides ] [ video ]
  [ BibTeX ]

• 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.
  [ code ] [ data ] [ poster ] [ BibTeX ]

• 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.
  [ code ] [ data ] [ poster ] [ BibTeX ]

• 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.
  [ slides ] [ BibTeX ]

News, Talks and Travel

• Oral Presentation at BEA 2021 workshop at EACL (Online). April, 2021. [ slides ]

• Guest Speaker at the Demestifying the Dessertation Talk Series, CS Dept, Columbia University. March, 2021.
  Title: Applications of Argumentations Mining in News. [ slides ] [ video ]

• Summer Internship Project Presentation at ETS. August, 2020. [ slides ]
  Title: Claim Token Detection from Middle and High School Student Essays.

• Candidacy Exam Talk at the NLP group, CS Dept, Columbia University. March, 2020. [ slides ] [ list of papers ]
  Title: A Review of the Literature on Automatic Fact-Checking, Fake News Detection and Argumentation.

• Invited Talk at the WikiConference North America 2019 at MIT.
  [ slides ] [ abstract ]
  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.
  [ slides ]

• Oral Presentation at LREC conference. Miyazaki, Japan. May, 2018. [ slides ]

Teaching

• Fall 2018: TA for COMS 4111: Introduction to Databases with Donald Ferguson

• Spring 2019: TA for COMS 4705: Natural Language Processing with Yassine Benajiba