nlp:scientific_text_processing

Table of Contents

Scientific Text Processing
- Overviews
- Papers
- Datasets
- Tools
- Resources
- People
- Related Pages

Scientific Text Processing

Overviews

Nasar et al 2018 - Information Extraction From Scientific Articles: A Survey

Papers

2013 - Purpose and Polarity of Citation: Towards NLP-based Bibliometrics
2018 - Goal-Oriented Representation of Scientific Papers
Predicting Co-authors
Graph Structure
- Vedak 2022 - ArXiv Citation Graph
Citation Processing
- 2012 - Reference Scope Identification in Citing Sentences
Knowledge Base Construction
- Hope et al 2021 - Extracting a Knowledge Base of Mechanisms from COVID-19 Papers
Summarization
- Cachola et al 2021 - TLDR: Extreme Summarization of Scientific Documents
Generating Papers
- Wang et al 2019 - PaperRobot: Incremental Draft Generation of Scientific Ideas
- Chen et al 2021 - SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation
Generating Hypotheses
- Yang et al 2023 - Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Datasets

Tools

Yamaguchi & Morishita 2023 - appjsonify: An Academic Paper PDF-to-JSON Conversion Toolkit
See methods section here: Vedak 2022 - ArXiv Citation Graph

Resources

People

Related Pages

Patent Domain NLP Some overlap with scientific domain nlp, especially for information extraction for patents

nlp/scientific_text_processing.txt · Last modified: 2025/06/01 21:02 by jmflanig