@inproceedings{resnik-etal-2020-developing,
title = "Developing a Curated Topic Model for {COVID}-19 Medical Research Literature",
author = "Resnik, Philip and
Goodman, Katherine E. and
Moran, Mike",
booktitle = "Proceedings of the 1st Workshop on {NLP} for {COVID}-19 (Part 2) at {EMNLP} 2020",
month = dec,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.nlpcovid19-2.30",
doi = "10.18653/v1/2020.nlpcovid19-2.30",
abstract = "Topic models can facilitate search, navigation, and knowledge discovery in large document collections. However, automatic generation of topic models can produce results that fail to meet the needs of users. We advocate for a set of user-focused desiderata in topic modeling for the COVID-19 literature, and describe an effort in progress to develop a curated topic model for COVID-19 articles informed by subject matter expertise and the way medical researchers engage with medical literature.",
}
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%0 Conference Proceedings
%T Developing a Curated Topic Model for COVID-19 Medical Research Literature
%A Resnik, Philip
%A Goodman, Katherine E.
%A Moran, Mike
%S Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020
%D 2020
%8 dec
%I Association for Computational Linguistics
%C Online
%F resnik-etal-2020-developing
%X Topic models can facilitate search, navigation, and knowledge discovery in large document collections. However, automatic generation of topic models can produce results that fail to meet the needs of users. We advocate for a set of user-focused desiderata in topic modeling for the COVID-19 literature, and describe an effort in progress to develop a curated topic model for COVID-19 articles informed by subject matter expertise and the way medical researchers engage with medical literature.
%R 10.18653/v1/2020.nlpcovid19-2.30
%U https://aclanthology.org/2020.nlpcovid19-2.30
%U https://doi.org/10.18653/v1/2020.nlpcovid19-2.30
Markdown (Informal)
[Developing a Curated Topic Model for COVID-19 Medical Research Literature](https://aclanthology.org/2020.nlpcovid19-2.30) (Resnik et al., NLP-COVID19 2020)
ACL