Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models
Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin Seppi, Jordan Boyd-Graber
Abstract
To address the lack of comparative evaluation of Human-in-the-Loop Topic Modeling (HLTM) systems, we implement and evaluate three contrasting HLTM modeling approaches using simulation experiments. These approaches extend previously proposed frameworks, including constraints and informed prior-based methods. Users should have a sense of control in HLTM systems, so we propose a control metric to measure whether refinement operations’ results match users’ expectations. Informed prior-based methods provide better control than constraints, but constraints yield higher quality topics.- Anthology ID:
- P19-1637
- Volume:
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Month:
- July
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Anna Korhonen, David Traum, Lluís Màrquez
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 6323–6330
- Language:
- URL:
- https://aclanthology.org/P19-1637
- DOI:
- 10.18653/v1/P19-1637
- Cite (ACL):
- Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin Seppi, and Jordan Boyd-Graber. 2019. Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6323–6330, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models (Kumar et al., ACL 2019)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/P19-1637.pdf