activity
20182023
most citedThe Semantic Scholar Open Data Platform

59 citations · 172 across the 8 of their papers we have counts for

collaborators

11 papers

cs.HC2023★ 8 cited

The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces

Kyle Lo, Joseph Chee Chang, Andrew Head +52

Scholarly publications are key to the transfer of knowledge from scholars to others. However, research papers are information-dense, and as the volume of the scientific literature…

cs.DL2023★ 59 cited

The Semantic Scholar Open Data Platform

Rodney Kinney, Chloe Anastasiades, Russell Authur +45

The volume of scientific output is creating an urgent need for automated tools to help scientists keep up with developments in their field. Semantic Scholar (S2) is an open data pl…

cs.DL2021★ 9 cited

Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users

Lucy Lu Wang, Isabel Cachola, Jonathan Bragg +7

The majority of scientific papers are distributed in PDF, which pose challenges for accessibility, especially for blind and low vision (BLV) readers. We characterize the scope of t…

cs.CL2021★ 8 cited

MS2: Multi-Document Summarization of Medical Studies

Jay DeYoung, Iz Beltagy, Madeleine van Zuylen +2

To assess the effectiveness of any medical intervention, researchers must conduct a time-intensive and highly manual literature review. NLP systems can help to automate or assist i…

cs.CV2020

MedICaT: A Dataset of Medical Images, Captions, and Textual References

Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta +6

Understanding the relationship between figures and text is key to scientific document understanding. Medical figures in particular are quite complex, often consisting of several su…

cs.CL2020★ 6 cited

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers

Tom Hope, Aida Amini, David Wadden +6

The COVID-19 pandemic has spawned a diverse body of scientific literature that is challenging to navigate, stimulating interest in automated tools to help find useful knowledge. We…

cs.CL2020

SciREX: A Challenge Dataset for Document-Level Information Extraction

Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi +1

Extracting information from full documents is an important problem in many domains, but most previous work focus on identifying relationships within a sentence or a paragraph. It i…

cs.CL2020

Fact or Fiction: Verifying Scientific Claims

David Wadden, Shanchuan Lin, Kyle Lo +4

We introduce scientific claim verification, a new task to select abstracts from the research literature containing evidence that SUPPORTS or REFUTES a given scientific claim, and t…

cs.CL2019★ 5 cited

Structural Scaffolds for Citation Intent Classification in Scientific Publications

Arman Cohan, Waleed Ammar, Madeleine van Zuylen +1

Identifying the intent of a citation in scientific papers (e.g., background information, use of methods, comparing results) is critical for machine reading of individual publicatio…

cs.CL2018★ 47 cited

Construction of the Literature Graph in Semantic Scholar

Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula +20

We describe a deployed scalable system for organizing published scientific literature into a heterogeneous graph to facilitate algorithmic manipulation and discovery. The resulting…

cs.CL2018★ 30 cited

A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications

Dongyeop Kang, Waleed Ammar, Bhavana Dalvi +4

Peer reviewing is a central component in the scientific publishing process. We present the first public dataset of scientific peer reviews available for research purposes (PeerRead…