Abstract
Natural Language Processing offers new insights into language data across almost all disciplines and domains, and allows us to corroborate and/or challenge existing knowledge. The primary hurdles to widening participation in and use of these new research tools are, first, a lack of coding skills in students across K-16, and in the population at large, and second, a lack of knowledge of how NLP-methods can be used to answer questions of disciplinary interest outside of linguistics and/or computer science. To broaden participation in NLP and improve NLP-literacy, we introduced a new tool web-based tool called Natural Language Processing 4 All (NLP4All). The intended purpose of NLP4All is to help teachers facilitate learning with and about NLP, by providing easy-to-use interfaces to NLP-methods, data, and analyses, making it possible for non- and novice-programmers to learn NLP concepts interactively.- Anthology ID:
- 2021.teachingnlp-1.3
- Original:
- 2021.teachingnlp-1.3v1
- Version 2:
- 2021.teachingnlp-1.3v2
- 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:
- 28–33
- Language:
- URL:
- https://aclanthology.org/2021.teachingnlp-1.3
- DOI:
- 10.18653/v1/2021.teachingnlp-1.3
- Cite (ACL):
- Rebekah Baglini and Hermes Hjorth. 2021. Natural Language Processing 4 All (NLP4All): A New Online Platform for Teaching and Learning NLP Concepts. In Proceedings of the Fifth Workshop on Teaching NLP, pages 28–33, Online. Association for Computational Linguistics.
- Cite (Informal):
- Natural Language Processing 4 All (NLP4All): A New Online Platform for Teaching and Learning NLP Concepts (Baglini & Hjorth, TeachingNLP 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2021.teachingnlp-1.3.pdf