Souvick Ghosh

Publications

Research Domains:

Conversational Search Systems, Human-Computer Interaction, Computational Social Science, Machine Learning, Natural Language Processing, Searching as Learning.

Peer-Reviewed Conference Proceedings

  1. Caceres, I. & Ghosh, S. (2022). The Sound of Music: From Increased Personalization to Therapeutic Values. In 2022 Information Seeking in Context (ISIC) conference, Berlin, Germany. [Full Paper] [Best Paper Nomination] [to be presented on 26-29 September, 2022] [Student Co-author].
  2. Cannon, E., Crouse, B., Ghosh, S., Rihn, N., & Chua, K. (2022, January). “Don’t Downvote A\$\$\$\$\$\$ s!!”: An Exploration of Reddit’s Advice Communities. In Proceedings of the 55th Hawaii International Conference on System Sciences. [Full Paper] [Student Co-authors].
  3. Ghosh, S. (2021). “Can You Search for Me?”: Understanding and Improving User‐System Dialogues for Complex Search Tasks. Proceedings of the Association for Information Science and Technology, 58(1), 173-184. [Full Paper].
  4. Ghosh, S., & Ghosh, S. (2021). “Do Users Need Human-like Conversational Agents?”–Exploring Conversational System Design Using Framework of Human Needs. In Proceedings of Second International Conference on Design of Experimental Search & Information REtrieval Systems, Padova, Italy, September 15-18, 2021. [Full Paper] [Student Co-author].
  5. Ghosh, S. & Ghosh, S. (2021). Classifying Speech Acts using Multi-channel Deep Attention Network for Task-oriented Conversational Search Agents. In Proceedings of the 2021 ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR’ 21), March 14-19, 2021, Canberra, ACT, Australia. [Short Paper] [Student Co-author].
  6. Ghosh, S. (2021). Predicting Question Deletion and Assessing Question Quality in Social Q&A Sites using Weakly Supervised Deep Neural Networks. In Proceedings of the 54th Hawaii International Conference on System Sciences (p. 2699). [Full Paper].
  7. Ghosh, S., & Shah, C. (2020). Identifying Citation Sentiment and its Influence while Indexing Scientific Papers. In Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS). January 7-10, 2020. Grand Wailea, Maui, HI. [Full Paper].
  8. Ghosh, S. & Ghosh, S. (2019). Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering. In Forum for Information Retrieval Evaluation (in press). Springer, Cham. [Short Paper].
  9. Ghosh, S., & Shah, C. (2019). Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks. In Proceedings of International Conference on Information and Knowledge Management (CIKM). November 3-7, 2019. Beijing, China. [Short Paper][Acceptance Rate: 21.3%]
  10. Ghosh, S., Rath, M., & Shah, C. (2018). Searching as learning: Exploring search behavior and learning outcomes in learning-related tasks. In Proceedings of the 2018 Conference on Human Information Interaction & Retrieval (pp. 22-31). ACM. [Full Paper]
  11. Ghosh, S., & Shah, C. (2018). Towards automatic fake news classification. Proceedings of the Association for Information Science and Technology, 55(1), 805-807. [Full Paper]
  12. Rath, M., Ghosh, S., & Shah, C. (2018). Exploring online and offline search behavior based on the varying task complexity. In Proceedings of the 2018 Conference on Human Information Interaction & Retrieval (pp. 285-288). ACM. [Short Paper]
  13. Reynolds, R., Meyers, E., Ghosh, S., & Novin, A. (2018). Beyond Bloom’s Taxonomy: Integrating “searching as learning” and e-learning research perspectives. Proceedings of the Association for Information Science and Technology, 55(1), 726-729. [Short Paper]
  14. Singh, V. K., Ghosh, S., & Jose, C. (2017). Toward multimodal cyberbullying detection. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 2090-2099). ACM. [Extended Abstract][Acceptance Rate: 39.9%]
  15. Ghosh, S., Ghosh, S., & Das, D. (2017). Sentiment identification in code-mixed social media text. In International Conference on Intelligent Text Processing and Computational Linguistics (CICLING), Budapest, Hungary. [Full Paper]
  16. Ghosh, S., Ghosh, S., & Das, D. (2017). Complexity metric for code-mixed social media text. Computación y Sistemas, 21(4), 693-701. [Full Paper]
  17. Ghosh, S., Das, D., & Chakraborty, T. (2016). Determining sentiment in citation text and analyzing its impact on the proposed ranking index. In International Conference on Intelligent Text Processing and Computational Linguistics (pp. 292-306). Springer, Cham. [Full Paper]

Conference Panels and Workshops (Peer-reviewed)

  1. Villagran, M., Hofman, D., & Ghosh, S. (September 2022). Understanding Sexual and Gender Minority Privacy. At ALISE 2022 Annual Conference. [Jury Panel]
  2. Franks, P.C., Ghosh, S., Hofman, D., & Mooradian, N. (2022). “AAA”: Are you an AI-Aware Archivist?. At 2022 NAGARA Annual Conference: Exploring the Information Wilds! [Panel]
  3. Ghosh, S. (2021). Understanding Human-System Dialogues for Conversational Search Tasks. At Early Career Colloquium (ECC), iConference 2021.
  4. Ghosh, S., Ghosh, S., & Das, D. (2016). Part-of-speech tagging of code-mixed social media text. In Proceedings of the Second Workshop on Computational Approaches to Code Switching (pp. 90-97). [Full Paper]
  5. Ghosh, S., Maitra, P., & Das, D. (2016). Feature Based Approach to Named Entity Recognition and Linking for Tweets. In # Microposts (pp. 74-76). [Workshop Paper]
  6. Ghosh, S., Ghosh, S., & Das, D. (2016). Labeling of Query Words using Conditional Random Field. arXiv preprint arXiv:1607.08883. [Workshop Paper]
  7. Maitra, P., Ghosh, S., & Das, D. (2016). Authorship Verification-An Approach based on Random Forest. arXiv preprint arXiv:1607.08885. [Workshop Paper]

Book Chapter

  1. Ghosh, S. (2022). Human-centered Sentiment Analysis: Sentiment-Aware Design of Human-Computer Interactions. In Computational Intelligence Applications for Text and Sentiment Data Analysis. [Book Chapter] [Accepted]

Doctoral Dissertation

  1. Ghosh, S. (2020). Exploring intelligent functionalities of spoken conversational search systems (Doctoral dissertation, Rutgers University-School of Graduate Studies).

Doctoral Consortium

  1. Ghosh, S. (2019). Informing the Design of Conversational IR Systems: Framework and Result Presentation. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1454-1454). ACM. [Doctoral Consortium]
  2. Ghosh, S. (2019). Exploring Result Presentation in Conversational IR Using a Wizard-of-Oz Study. In European Conference on Information Retrieval (pp. 327-331). Springer, Cham. [Doctoral Consortium]
  3. Ghosh, S. (2019). Investigating Result Presentation in Conversational IR. In Proceedings of the 2019 Conference on Human Information Interaction and Retrieval (pp. 421-424). ACM. [Doctoral Consortium]

Articles in Research-Intensive Venues

  1. Ghosh, S. (2019). Informing the Design of Conversational IR Systems: Framework and Result Presentation. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1454-1454). ACM. [Doctoral Consortium]
  2. Spina, D., Trippas, J. R., Thomas, P., Joho, H., Byström, K., Clark, L., Craswell, N., Czerwinski, M., Elsweiler, D., Frummet, A., Ghosh, S..... & Sitbon, L. (2021). Report on the Future Conversations Workshop at CHIIR 2021. In SIGIR Forum (Vol. 55, No. 1, p. 22). [Report]
  3. Ghosh, S. (2021). Designing Human-Computer Conversational Systems using Needs Hierarchy. School of Information Student Research Journal, 11(1), 3. [Full Paper]
https://drive.google.com/file/d/1-6ot4kYfeVeoo2aoo4l0K6fk-eEBfNPU/view?usp=sharing

Other Scholarly Products (Conference Presentations (un-reviewed or informal), Workshops, Guest Lectures, and Posters)

  1. Shah, C., Shapira, O., Chow, A., Glaser, N., & Ghosh, S. (September 2022). AI; UX and Usability; Cybernetic. At 2022 Information Science Summit. [to be held in Sept., 2022]
  2. Ghosh, S. (2022). Addressing Selection/Appraisal Biases with Artificial Intelligence. At Artificial Intelligence in Archival Appraisal & Selection, International Council on Archives/Hub for AI Research in Archives. [Webinar]
  3. Ghosh, S., Schuh, J., Bunn, J., Bell, M., Young, P., & Venkata, S. (2022). Guidelines for the use of AI in archival Appraisal/Selection. At Artificial Intelligence in Archival Appraisal & Selection, International Council on Archives/Hub for AI Research in Archives. [Working Session]
  4. Ghosh, S. (2022). Designing Intelligent Systems for Sociotechnical Problems. At iSchool Faculty Research Committee (FRC) Meet-up. [Presentation]
  5. Ghosh, S. (2022). Designing User-Centered Conversational Search Systems. For Interactive Information System Evaluation (Fall 2022), University of Oklahoma. [Guest Lecture]
  6. Franks, P., Ghosh, S., & Butler, A. (2022). Literature Review Prepared for Employing AI for Retention & Disposition in Digital Information and Recordkeeping Systems. InterPARES. [Report] [Student Co-author]
  7. Franks, P., Ghosh, S., & Butler, A. (2022). Annotated Bibliography Prepared for Employing AI for Retention & Disposition in Digital Information and Recordkeeping Systems. InterPARES. [Report] [Student Co-author]
  8. Gogoi, J., Ghosh, S., & Ghosh, S. (2021). Applying AI for PII Detection. List of products for the study “Personal Information Content Assessment,” InterPARES. [Report] [Student Co-author]
  9. Ghosh, S. (2021). Advancing Information Systems using A.I. - A closer look into Voice-based Conversational Systems and its applications in Library Science. SJSU ASIS&T. [Keynote Video]
  10. Ghosh, S. (2021). Understanding and Designing User-centered Conversational Search Systems. Wednesday Workshop Series, College of Professional and Global Education (CPGE). [Presentation] [Video]
  11. Ghosh, S. (2021). 2021 OCLC LEADING Data Challenge, OCLC. [Data Challenge]
  12. Ghosh, S. (2020). Towards User-centered, Anthropomorphic, and Explainable Conversational Search System. Wednesday Workshop Series, College of Professional and Global Education (CPGE). [Presentation] [Video]

Scholarly Blog Posts

  • Ghosh, S. (2021). Future of AI in Libraries. School of Information Center for Information Research & Innovation (CIRI). [Blog Post]