I am an Applied Scientist at Amazon Science. My research interest focuses on developing Machine Learning (ML) models for language understanding. This includes developing algorithms that can learn to read with minimal supervision and creating new applications to reduce human efforts in the long run.

Before joining Amazon, I received my Ph.D. from the Department of CSE at Ohio State University, with a focus on Natural Language Processing (NLP). I have developed multiple supervised and semi-supervised machine learning systems that are capable of extracting structured information from noisy user-generated texts.

Contact: https://www.linkedin.com/in/jeniyat/

Professional Experience

Open-sourced Machine Learning Framework

  • Contributed to the open sourced SageMaker Python SDK, that enables cloud deployment of ML models, by introducing new ML features.

  • Contributed the open sourced SageMaker Example Notebooks, that hosts illustrated-notebooks with SageMaker functionality, by authoring different notebooks depicting the workflow of different State-of-the-art machine learning models.

Research Projects

Fine Grained Entity Extraction from Software Text

Entity and Relation Extraction from Wet Lab Protocol

  • Built an entity-relation corpus for the procedural texts from 700+ lab recipes

  • Organized a shared task at EMNLP ’20

  • Developed Ensemble models for both NER and RE

  • Achieved F1 Score of 76.84 for NER task

  • Achieved F1 Score of 81.32 for RE task [current SOTA]

  • Related Publications: Tabassum et al. EMNLP '20

  • Code/Data: https://github.com/jeniyat/WNUT_2020_NER, https://github.com/jeniyat/WNUT_2020_RE

User Profile Mining From Twitter

Learning Semantics from Software Social Network

  • Extracted proximity from the followers activity of 84M+ Github repositories

  • Proposed Repository Embeddings to evaluate similarities in repositories

  • Created repository embeddings by analyzing text content from repository-user network

  • Code/Data: https://github.com/jeniyat/Github-Repository-Embedding

Time Information Resolution from Tweets

Social Media on Disaster Response

  • Explored the impact of social media during a national disaster by analyzing the post about the Savar Tragedy

  • Proposed co-ordinated approach of relief distribution by mining-out repetitive post

  • Related Publications: Tabassum et al. WADM '13

Web Community Extraction

  • Proposed a novel extraction and ranking algorithm for web communities

  • Demonstrated improvement in auctions of a sponsored search market by utilizing the proposed algorithm

  • Related Publications: Salekin, Tabassum and Hasan, WIMS '13


  • Code and Named Entity Recognition in StackOverflow


Jeniya Tabassum, Mounica Maddela, Wei Xu and Alan Ritter

Proceedings of ACL 2020

  • WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols


Jeniya Tabassum, Sydney Lee, Wei Xu and Alan Ritter

Proceedings of EMNLP-WNUT 2020

  • Time Expression Resolution for Social Media Data [pdf]

Jeniya Tabassum, Alan Ritter and Wei Xu

Proceedings of ACL-WiNLP 2017

  • TweeTIME: A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter

[code][pdf] [slides] [video]

Jeniya Tabassum, Alan Ritter and Wei Xu

Proceedings of EMNLP 2016

  • Distant Supervision for Temporal Resolution [pdf]

Jeniya Tabassum and Alan Ritter

Proceedings of MASC-SLL 2016

  • Role of Social Media in Disaster Response in the Context of Savar Tragedy [pdf]

Jeniya Tabassum, Himel Dev, Mohammed Eunus Ali and Md. Fahim Abdullah

Proceedings of WADM 2013

  • Extract and Rank Web Communities [pdf]

Asif Salekin, Jeniya Tabassum, and Masud Hasan

Proceedings of WIMS 2013


  • ACL D&I Scholarship for participating ACL 2020.

  • WiNLP Travel Award for participating ACL 2017.

  • Google Travel Award for attending Google NLU workshop 2017.

  • Student Travel Award for participating Grad Cohort 2016.

  • Dean's List Award for academic excellence in last three completed years, BUET.

  • University Merit Scholarship for academic excellence in all semesters, BUET .

  • Champion, Bangladesh National Math Olympiad, 2006.

  • Dhaka Education Board Scholarship for excellence in the HSC examination, '07-'11 (top 5%).

  • Dhaka Education Board Scholarship for excellence in the SSC examination, '04-'06 (top 5%).


  • Program Committee/ Reviewer:

        • AAAI 2020

        • ACL 2019, 2020, 2021

        • AIRE Journal 2019, 2020

        • COLING 2018

        • ECNLP 2022

        • EMNLP 2019, 2020

        • HCC 2019

        • MASC-SLL, 2016

        • NAACL-SRW 2019, 2021, 2022

        • WiNLP 2020, 2022

        • WNUT 2020, 2019, 2018, 2017, 2016

  • Organizer

  • Panel Member

        • WIE, ICCIT 2016