Abstract
This paper describes a class project for a recently introduced undergraduate NLP course that gives computer science students the opportunity to explore the data of Dialog State Tracking Challenge 2 (DSTC 2). Student background, curriculum choices, and project details are discussed. The paper concludes with some instructor advice and final reflections.- Anthology ID:
- 2021.teachingnlp-1.12
- Volume:
- Proceedings of the Fifth Workshop on Teaching NLP
- Month:
- June
- Year:
- 2021
- Address:
- Online
- Editors:
- David Jurgens, Varada Kolhatkar, Lucy Li, Margot Mieskes, Ted Pedersen
- Venue:
- TeachingNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 70–79
- Language:
- URL:
- https://aclanthology.org/2021.teachingnlp-1.12
- DOI:
- 10.18653/v1/2021.teachingnlp-1.12
- Cite (ACL):
- Ronnie Smith. 2021. Gaining Experience with Structured Data: Using the Resources of Dialog State Tracking Challenge 2. In Proceedings of the Fifth Workshop on Teaching NLP, pages 70–79, Online. Association for Computational Linguistics.
- Cite (Informal):
- Gaining Experience with Structured Data: Using the Resources of Dialog State Tracking Challenge 2 (Smith, TeachingNLP 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/2021.teachingnlp-1.12.pdf