Tirthankar Ghosal
About Me
Researcher in Scholarly Language Processing (AI/NLP/ML/Digital Libraries)
I primarily work on mining scholarly scientific articles, extract meaningful information from them with AI/NLP/ML techniques. Our objective is to cut through the clutter of science in academia and accelerate scientific discovery. Using Natural Language Processing, Machine Learning-Deep Learning, Bibliometric Intelligence techniques we seek to develop an AI that would help humans understand scientific knowledge better and connect the dots faster.
My current research is dedicated towards three scholarly problems: Novelty, Scope and Quality of Scientific Articles. Specifically, we seek to develop an AI that would assist editors/reviewers in the peer review process.
Research to me is an intellectual pilgrimage.
Research In Progress
Devising machine learning solutions to automatically isolate out-of-scope submissions (an automated AI peer reviewer/editor) in the peer review process.
Developing datasets from newspaper articles for Document-Level Novelty Detection. and an
Intuitive ML-based measures to detect novelty of information at the document level from newspaper articles.
Using citation networks, content extraction, bibliographic analysis to measure the impact/depth and scope of a scientific research article.
Citation Significance and Impact on Article Quality
Recommender System for academic journals from a machine learning and IR perspective using all available information in a scholarly article.
Planned works
Exploring Knowledge Graphs for Novelty Detection (Scientific Literature).
Argumentation Mining from Scientific Discourse
Academic Hedging in Scholarly Literature
Text Simplification on Scholarly Texts
Citation Function Classification
Collaborations
In a key position in a project with Elsevier to build a support system for Academic Peer Review
With the Computational Data Analytics Group, Oak Ridge National Laboratory, US
Additional Interests
Regular reviewer of ACM-TALLIP and NLP/CL conferences like ICON, LREC, RecSys, NAACL
Regular reviewer of SADHANA, a journal published by Indian National Academy of Sciences
Organizer of three GIAN (an MHRD, GOI initiative) courses at IIT Patna
Teaching Assistant in several courses for B.Tech at IIT Patna, guiding internship candidates from premier Indian institutes on different ML, DL, AI projects along with IIT Patna undergraduate students.
Member of ACM, FORCE11 , SIGIR, SIGCHI, ACL professional communities
Published Work
The Fruits of our Labor
[1] TAP-DLND 1.0: A Corpus for Document Level Novelty Detection by Tirthankar Ghosal, Amitra Salam, Swati Tiwari, Asif Ekbal and Pushpak Bhattacharyya published as a full paper at LREC 2018 (H-Index: 43) held at Miyazaki, Japan
[2] Document Level Novelty Detection: Textual Entailment Lends a Helping Hand by Tanik Saikh, Tirthankar Ghosal, Asif Ekbal and Pushpak Bhattacharyya published in the proceedings of ICON 2017 at Jadavpur University, Kolkata, India
[3] Sentiment analysis on (Bengali horoscope) corpus by Tirthankar Ghosal, Sajal Kanti Das and Saprativa Bhattacharjee published as a full paper in IEEE INDICON 2015 held at Jamia Milia Islamia University, New Delhi, India
[4] Can your paper evade the editor's axe? Towards an AI-assisted peer review system by Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya [https://arxiv.org/pdf/1802.01403.pdf]
[5] Investigating Impact Features in Editorial Pre-Screening of Research Papers by Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya accepted as a Poster paper in the 18th ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2018 held at Fort Worth, Texas, US from June 3-6, 2018 (CORE rank A*)
[6] Exploring the Implications of Artificial Intelligence in Various Aspects of Scholarly Peer Review by Tirthankar Ghosal accepted in Doctoral Consortium of the 18th ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2018 held at Fort Worth, Texas, US from June 3-6, 2018 (CORE rank A*)
[7] Investigating Domain Features For Scope Detection and Classification of Scientific Articles by Tirthankar Ghosal, Ravi Sonam, Sriparna Saha, Asif Ekbal and Pushpak Bhattacharyya accepted as a full paper in the 7th International Workshop on Mining Scientific Publications (WOSP 2018) held in conjunction with LREC 2018 at Miyazaki, Japan from May 7-11, 2018.
[8] Novelty Goes Deep: A Deep Neural Approach Towards Document Level Novelty Detection by Tirthankar Ghosal, Vignesh Edithal, Asif Ekbal, Pushpak Bhattacharyya, Sameer Chivukula and Georgios Tsatsaronis accepted as a full paper in the 27th International Conference on Computational Linguistics (COLING 2018) held at Santa Fe, New-Mexico, USA (CORE rank A/H-Index: 35).
[9] To Comprehend the New: On Measuring the Freshness of a Document by Tirthankar Ghosal, Abhishek Shukla, Asif Ekbal and Pushpak Bhattacharyya accepted as a full paper in the 37th International Joint Conference on Neural Networks (IJCNN 2019) to be held at Budapest, Hungary (CORE rank A/H-Index: 31).
[10] Is the Paper Within Scope? Are You Fishing in the Right Pond? by Tirthankar Ghosal, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya and Ravi Sonam accepted as short paper in the 19th ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2019 to be held at University of Illinois Urbana-Champaign, US from June 2-5, 2019 (CORE rank A*)
[11] A Deep Multimodal Investigation To Determine the Appropriateness of a Scholarly Submission by Tirthankar Ghosal, Ashish Raj, Asif Ekbal, Sriparna Saha, and Pushpak Bhattacharyya accepted as full paper paper in the 19th ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2019 to be held at University of Illinois Urbana-Champaign, US from June 2-5, 2019 (CORE rank A*)
[12] A Multiview Clustering Approach To Identify Out-of-Scope Submissions in Peer Review by Tirthankar Ghosal, Debomit Dey, Avik Dutta, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya accepted as poster paper in the 19th ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2019 to be held at University of Illinois Urbana-Champaign, US from June 2-5, 2019 (CORE rank A*)
[13] Incorporating Full Text and Bibliographic Features to Improve Scholarly Journal Recommendation by Tirthankar Ghosal, Ananya Chakraborty, Ravi Sonam, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya accepted as poster paper in the 19th ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2019 to be held at University of Illinois Urbana-Champaign, US from June 2-5, 2019 (CORE rank A*)
Achievements
Till date ...
University First rank medal for securing the highest marks in BCA examinations under University of North Bengal (Session: 2006-09). The medal awarded in April, 2010.
University First Class First Gold medal for securing the highest marks in MCA examinations under University of North Bengal (Session: 2009-12). Awarded on 26th February, 2015.
Jindal Jubilee Gold medal for securing the highest marks in MCA under University of North Bengal (Session: 2009-12). Awarded on 26th February, 2015.
Late Sourav Bhattacharya Memorial Medal for securing the highest marks in MCA under University of North Bengal (Session: 2009-12). Awarded on 26th February, 2015.
Awarded high-value Visvesvaraya fellowship (MEITY) for pursuing Ph.D. in IIT Patna in January,2016
Selected for MHRD fellowship for pursuing Ph.D. in IIT Patna in January,2016
Selected for best research presentation from CSE dept. at Research Scholars Day, IIT Patna
Selected for ACM-SIGCHI Student Support Travel Grant to attend and present current work on recommendation systems for academic journals (if accepted) in ACM RecSys 2018 held in Vancouver, Canada from October 2-7, 2018
Has been awarded the ACM SIGIR Student Travel Grant 2018 to attend the 18th ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2018 held at Fort Worth, Texas, US from June 3-6, 2018
Has been awarded the Microsoft Research Travel Grant 2018 to attend the 27th International Conference on Computational Linguistics (COLING 2018) held at Santa Fe, New-Mexico, USA from August 20-26, 2018
Has been awarded the Visvesvaraya Conference Grant to attend COLING 2018
Invited in FORCE11 2018 conference to present on AI in scholarly communications held at McGill University, Montreal from October 10-11, 2018 with full sponsorship awarded by CrossRef
Selected to present research on Novelty Detection at IRISS 2019, ACM India Annual Event to be held at Kochi, India from February 6-8, 2019 with funding from ACM India Chapter.
Selected for the Augmenting Writing Skills for Articulating Research (AWSAR) 2018 award for popular science writing on Artificial Intelligence in Peer Review by Department of Science and Technology (DST), Government of India
Selected as a Visiting Researcher at the Oak Ridge National Laboratory, US (March - August, 2019)
Qualified UGC-NET for Assistant Professor of Computer Science in 2014
Qualified WB-SET for Assistant Professor of Computer Science in 2014
Qualified WB-TET in 2012
References
1. Dr. Pushpak Bhattacharyya
Director, IIT Patna
ex-President Association of Computational Linguistics(ACL)
Professor, Department of Computer Science and Engineering (IIT Bombay and IIT Patna)
email: /
http://www.cse.iitb.ac.in/~pb
2. Dr. Simone Teufel
Professor, Cambridge University (UK)
University of Cambridge Computer Laboratory
Email: sht25@cl.cam.ac.uk
3. Dr. Asif Ekbal
Associate Professor & Dean (R&D)
Department of Computer Science and Engineering
Indian Institute of Technology Patna
Email : /
4. Dr. Robert Patton
Computer Science and Mathematics Division
Oak Ridge National Laboratory
Email:
Experience
1. Working as Visvesvaraya (Ph.D.) Research Scholar under Dr. Asif Ekbal and Prof. Pushpak Bhattacharyya in Elsevier Centre of Excellence for Natural Language Processing, IIT Patna since January, 2016
2. Worked as Assistant Professor in Dept. of Computer Science and Engineering in Sikkim Manipal Institute of Technology(SMIT), Majitar, East Sikkim-737136 from August, 2012 to December, 2015
3. Worked as a lecturer of Computer Applications in IIAS College of Management, Siliguri from March, 2012 to June, 2012
4. Currently visiting Oak Ridge National Laboratory, Oak Ridge, Tennessee, US as a visiting scholar to explore novelty detection on big scholarly data from March-August, 2019
Contact Me
Elsevier Centre of Excellence for Natural Language Processing
AI-NLP-ML Lab, Block-III, 5th Floor, Room 510
Indian Institute of Technology Patna
Bihta, Bihar-801103, India
Email: //
Phone: +91-9832669697 (IND) // +1 865 236 4071 (US)