Illustrated conceptual image of three academic conference reviewers with the Semantic Scholar logo in the bottom right corner.
Illustrated conceptual image of three academic conference reviewers with the Semantic Scholar logo in the bottom right corner.
The peer review process is a burden for many academics. A new service from Semantic Scholar is designed to help.

Semantic Scholar can help conference organizers find qualified and impartial peer reviewers for scientific papers.

Rodney Kinney is a Principal Software Engineer at AI2 and a founding team member of Semantic Scholar.

The Problem

Global scientific output has been doubling roughly every nine years for the past several decades [1, 2]. This growth obviously presents a problem for researchers trying to keep pace with the volume of research being done in their field and adjacent fields. Less discussed is the burden on reviewers, who are charged with vetting an ever-increasing number of papers, often outside their area of specialization.

We can at least take comfort in the expectation that the number of qualified reviewers has grown together…


Building a trustworthy and authoritative resource for open science

Doug Raymond is the General Manager of Semantic Scholar at the Allen Institute for AI. Follow Doug on Twitter.

With the recent announcement that Microsoft Research will stop supporting updates to the Microsoft Academic Graph (MAG) at the end of 2021, many in the community have asked how this news will impact Semantic Scholar.


Sebastian Kohlmeier is the Head of Operations for Semantic Scholar at the Allen Institute for AI, and Product Manager for CORD-19. Dr. Tayab Waseem is Chief Scientific Officer for Stability AI and is leading the flagship project CAIAC (Collective and Augmented Intelligence Against COVID-19). He has a PhD in Immunology and is a Public Policy Fellow for the American Association of Immunologists.

Illustrated image shows the Open Access icon layered over a bar graph and virus icon to depict the importance of open access to full text research for scientific discovery during global health crises.
Illustrated image shows the Open Access icon layered over a bar graph and virus icon to depict the importance of open access to full text research for scientific discovery during global health crises.
The need for open access to full-text research became critical as the world’s scientific community turned its focus to Covid-19.

Open and fast access to both emerging and historical scientific research is a critical factor in accelerating the scientific breakthroughs required to fight Covid-19 and future health crises. …


Looking back over a year of impact with co-creators Lucy Lu Wang and Kyle Lo

CORD-19 dataset co-creators Lucy Lu Wang and Kyle Lo look back at the year since the dataset was initially released.

The Covid-19 pandemic accelerated scientific research at an incredible rate, making it even more difficult for clinicians, researchers, and scientists to stay up-to-date on the latest information on this unprecedented crisis. In response, text mining systems rose to the challenge to help the global research community make sense of the hundreds of thousands of new scientific papers published since the discovery of the novel coronavirus.

The COVID-19 Open Research Dataset (CORD-19) resource is one of the key datasets that made this possible. On the first anniversary of its launch, CORD-19 co-creators Lucy Lu Wang and Kyle Lo from the Semantic…


Semantic Scholar’s new AI-powered TLDR feature, now available in beta mode, automatically generates extreme summaries to help you decide which papers are most relevant to your work.

The TLDR feature from Semantic Scholar on the Author Page for the Researcher Isabel Cachola, author of TLDR: Extreme Summarization of Scientific Documents.

TLDRs (Too Long; Didn’t Read) are super-short summaries of the main objective and results of a scientific paper, generated using expert background knowledge and the latest GPT-3 style NLP techniques. This new feature is now available in beta for nearly 10 million computer science papers and counting in Semantic Scholar.

Staying up to date with scientific literature is a key part of any researchers’ workflow, and parsing a long list of papers from various sources by reading paper abstracts is time-consuming. …


Semantic Scholar is committed to open science.

Semantic Scholar is proud to be joining the Open COVID Pledge.

Open and free access to patents, emerging and historical scientific research, and other intellectual property is a critical factor in accelerating the scientific breakthroughs required to fight COVID-19.

Immediate action is required to halt the current pandemic and treat those it has affected. We at Semantic Scholar are proud to commit to the Open COVID Pledge, as it ties directly in with our mission of accelerating scientific discovery. We are providing the CORD-19 dataset under this Pledge as a resource to the global research community. …


Artificial intelligence has a critical role to play in fighting the global threat of COVID-19—the Allen Institute for AI has taken the lead in partnership with several prominent leaders and research groups to produce the COVID-19 Open Research Dataset (CORD-19), a unique resource of over 29,000 scholarly articles, including over 13,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses. This freely available dataset is intended to mobilize the global AI community to generate new research insights in support of the ongoing fight against this infectious disease.

A coalition including the White House, the Chan Zuckerberg Initiative, Georgetown University’s Center…


The scholar of today is faced with the daunting task of needing to consume a mountain of articles and research papers regarding their field of study. There are over 2.5 million papers and articles published every year. Semantic Scholar is championing the task of being able to search, reference, cite and ultimately consume the ever-growing amount of information available to the scientific community.

To help build this world-class AI-driven search and discovery engine, Semantic Scholar partners with the top publishers, content aggregators and depositories who refine and curate the metadata and full-text content available for inclusion to the Semantic Scholar…


Semantic Scholar, by AI2, is a free AI-based academic search engine used by over 4 million researchers each month. We’ve partnered with Springer Nature to power advanced discovery of academic research

Scholars, we are excited to announce the news about expanded access to Springer Nature content, now available on Semantic Scholar. One of the leading scientific publishers has provided you with greater access to over 3 million additional papers to enhance your exploration, improve discovery, and help you find relevant content more efficiently.

You can expect to have full access to more open access publications than before as well as…


A Case Study of Using Semantic Scholar’s Citation Graph in Literature Reviews

Sebastian Kohlmeier

As we develop new features for our academic search and discovery engine Semantic Scholar we often find ourselves asking “what is the latest applicable research or state of the art?”. This is a critical question that we need to answer early on in a project to assess the novelty of a specific approach and to ensure that our AI research builds on and extends existing work that has been done by the research community.

Last year we started a project to classify citations by their intent in an effort to make it easier for our users to understand…

Semantic Scholar

Semantic Scholar is a tool that empowers scientific exploration and discovery. A free product of AI2, we help scientists achieve impact.

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