Semantic Scholar Research - Knowledge Graphs and Ontologies

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers

Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Eric Horvitz, Roy Schwartz, and Hannaneh Hajishirzi
preprint • 2020

Tl;DR: To navigate the collection of COVID19 papers from different domains, we present a KB of mechanisms relating to COVID19, to support domain-agnostic search and exploration of general activities, functions, influences and associations in these papers.

Ontology Alignment in the Biomedical Domain Using Entity Definitions and Context

Lucy Lu Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Christopher Wilhelm, and Waleed Ammar
BioNLP • 2018

Tl;DR: This ontology matcher can be used to generate alignments between entities in two biomedical ontologies. The matcher uses entity definitions and usage context retrieved from the Semantic Scholar corpus to assist in entity matching.

Knowledge Graphs and Ontologies

Ontologies are used to ground lexical items in various NLP tasks including entity linking, question answering, semantic parsing and information retrieval. In this project we investigate approaches for improving and constructing domain-specific ontologies using NLP methods.

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers

Tom Hope*, Aida Amini*, David Wadden, Madeleine van Zuylen, Eric Horvitz, Roy Schwartz, and Hannaneh Hajishirzi preprint • 2020

Ontology Alignment in the Biomedical Domain Using Entity Definitions and Context

Lucy Lu Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Christopher Wilhelm, and Waleed Ammar BioNLP • 2018

Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Eric Horvitz, Roy Schwartz, and Hannaneh Hajishirzi
preprint • 2020

Lucy Lu Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Christopher Wilhelm, and Waleed Ammar
BioNLP • 2018