# Keyword Extraction in Scientific Documents

arXiv: https://arxiv.org/abs/2207.01888 · HTML: https://mlsanity.com/paper/2207.01888/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 14 of its 70 references that are in the map.
- First posted on arXiv 5 Jul 2022.

## Builds on (most cited first, 14 of 14)

- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://mlsanity.com/paper/1810.04805/) (2018)
- [Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://mlsanity.com/paper/1908.10084/) (2019)
- [BERTopic: Neural topic modeling with a class-based TF-IDF procedure](https://mlsanity.com/paper/2203.05794/) (2022)
- [ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing](https://mlsanity.com/paper/1902.07669/) (2019)
- [HDLTex: Hierarchical Deep Learning for Text Classification](https://mlsanity.com/paper/1709.08267/) (2017)
- [Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references](https://mlsanity.com/paper/1402.4578/) (2014)
- [Unsupervised Keyphrase Extraction with Multipartite Graphs](https://mlsanity.com/paper/1803.08721/) (2018)
- [Variations of the Similarity Function of TextRank for Automated Summarization](https://mlsanity.com/paper/1602.03606/) (2016)
- [HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity Recognition](https://mlsanity.com/paper/2008.07347/) (2020)
- [Representation Learning for Resource-Constrained Keyphrase Generation](https://mlsanity.com/paper/2203.08118/) (2022)
- [Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings](https://mlsanity.com/paper/1807.05962/) (2018)
- [Unsupervised Keyword Extraction from Polish Legal Texts](https://mlsanity.com/paper/1408.3731/) (2014)
- [FRAKE: Fusional Real-time Automatic Keyword Extraction](https://mlsanity.com/paper/2104.04830/) (2021)
- [Keyword Extraction for Improved Document Retrieval in Conversational Search](https://mlsanity.com/paper/2109.05979/) (2021)

## Built on by (most cited first, 3 of 3)

- [Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learning](https://mlsanity.com/paper/2302.00390/) (2023)
- [SAINE: Scientific Annotation and Inference Engine of Scientific Research](https://mlsanity.com/paper/2302.14468/) (2023)
- [Natural language processing on customer note data](https://mlsanity.com/paper/2305.02029/) (2023)

## Abstract (arXiv)

The scientific publication output grows exponentially. Therefore, it is increasingly challenging to keep track of trends and changes. Understanding scientific documents is an important step in downstream tasks such as knowledge graph building, text mining, and discipline classification. In this workshop, we provide a better understanding of keyword and keyphrase extraction from the abstract of scientific publications.