Text-Summarization-Papers

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Text-Summarization-Papers is an open-source paper list for text summarization, covering research from top conferences between 2013-2020. It provides a paper retrieval system to find top-cited and milestone papers, and track recent research concepts.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is Text-Summarization-Papers?

Text-Summarization-Papers offers an exhaustive, open-source list of academic papers focused on text summarization. Curated from eight top conferences including ACL, EMNLP, and NeurIPS, the collection spans from 2013 to 2020. Users can leverage a paper retrieval system to easily find highly-cited papers, track the latest research, and identify milestone works for beginners. The resource also categorizes papers by research concepts, highlighting hot topics and trends since 2019, such as scientific paper-based summarization, new datasets, pretrained models, graph neural networks, and factuality evaluation. It encourages community contributions for updating papers, concepts, and datasets.

Best used for

Ideal for professors and students who need to quickly find relevant research papers, track emerging trends in text summarization, and identify foundational works. Especially valuable for academic researchers looking to stay updated or contribute to the field.

Common actions

find research papers

track research trends

explore academic concepts

identify milestone papers

low-code/no-codeworkflowscollaborationopen-sourcedeepfakeautomated workflowface swappinggithub copilot"AI Agents"

Capabilities

Key features

Paper retrieval system
Concept-based categorization
Hot topic identification
Milestone paper lists
Dataset lists
Community contributions

Target Audience

professorstudent

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What conferences and years does the paper list cover?

The paper list covers research from eight top conferences: ACL, EMNLP, NAACL, ICML, ICLR, AAAI, IJCAI, and NeurIPS. It includes papers published between 2013 and 2020, offering a comprehensive overview of the field during this period.

How can I contribute to the Text-Summarization-Papers list?

You can contribute by updating the `summ_concept.md` file for new research concepts, `summ_paper.crowdsource` for new papers or corrections, or `summ_data.crowdsource` for new datasets. Contributions are made via Pull Requests or by opening an Issue on GitHub.

What kind of research concepts are highlighted as 'hot topics'?

Hot topics are concepts where the proportion of papers since 2019 exceeds a certain threshold (0.4). Examples include scientific paper-based summarization, new dataset construction, pretrained models, graph neural networks, and factuality evaluation of generated summaries.

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Subcategories trending in Research & Education

Study Assistants Knowledge Management Course Creation Scientific Computing Summarization Language Learning

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