NEH banner [Return to Query]

Products for grant HAA-271654-20

HAA-271654-20
Multilingual BookNLP: Building a Literary NLP Pipeline Across Languages
David Bamman, University of California, Berkeley

Grant details: https://apps.neh.gov/publicquery/main.aspx?f=1&gn=HAA-271654-20

BookNLP (Computer Program)
Title: BookNLP
Author: David Bamman
Abstract: BookNLP, a natural language processing pipeline for books
Year: 2021
Primary URL: https://github.com/booknlp/booknlp
Primary URL Description: Github Repository for BookNLP
Access Model: Open access
Programming Language/Platform: Python
Source Available?: Yes

Narrative Theory for Computational Narrative Understanding (Article)
Title: Narrative Theory for Computational Narrative Understanding
Author: Andrew Piper
Author: Richard Jean So
Author: David Bamman
Abstract: Over the past decade, the field of natural language processing has developed a wide array of computational methods for reasoning about narrative, including summarization, commonsense inference, and event detection. While this work has brought an important empirical lens for examining narrative, it is by and large divorced from the large body of theoretical work on narrative within the humanities, social and cognitive sciences. In this position paper, we introduce the dominant theoretical frameworks to the NLP community, situate current research in NLP within distinct narratological traditions, and argue that linking computational work in NLP to theory opens up a range of new empirical questions that would both help advance our understanding of narrative and open up new practical applications.
Year: 2021
Primary URL: https://aclanthology.org/2021.emnlp-main.26.pdf
Primary URL Description: ACL Anthology
Access Model: Open access
Format: Journal
Periodical Title: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Publisher: ACL


Permalink: https://apps.neh.gov/publicquery/products.aspx?gn=HAA-271654-20