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Research - Papers

Explore a selection of our published work on a variety of key research challenges in AI.

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Ontology-Aware Clinical Abstractive Summarization

Sean MacAvaneySajad SotudehArman CohanRoss W. Filice
2019
SIGIR

Automatically generating accurate summaries from clinical reports could save a clinician's time, improve summary coverage, and reduce errors. We propose a sequence-to-sequence abstractive… 

Quantifying Sex Bias in Clinical Studies at Scale With Automated Data Extraction

Sergey FeldmanWaleed AmmarKyle LoOren Etzioni
2019
JAMA

Importance: Analyses of female representation in clinical studies have been limited in scope and scale. Objective: To perform a large-scale analysis of global enrollment sex bias in clinical… 

Combining Distant and Direct Supervision for Neural Relation Extraction

Iz BeltagyKyle LoWaleed Ammar
2019
NAACL

In relation extraction with distant supervision, noisy labels make it difficult to train quality models. Previous neural models addressed this problem using an attention mechanism that attends to… 

Structural Scaffolds for Citation Intent Classification in Scientific Publications

Arman CohanWaleed AmmarMadeleine van ZuylenField Cady
2019
NAACL

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 publications and automated… 

Citation Count Analysis for Papers with Preprints

Sergey FeldmanKyle LoWaleed Ammar
2018
ArXiv

We explore the degree to which papers prepublished on arXiv garner more citations, in an attempt to paint a sharper picture of fairness issues related to prepublishing. A paper’s citation count is… 

Construction of the Literature Graph in Semantic Scholar

Waleed AmmarDirk GroeneveldChandra Bhagavatulaet al.
2018
NAACL-HLT

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

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

Dongyeop KangWaleed AmmarBhavana Dalvi MishraRoy Schwartz
2018
NAACL-HLT

Peer reviewing is a central component in the scientific publishing process. We present the first public dataset of scientific peer reviews available for research pur- poses (PeerRead v1), providing… 

Content-Based Citation Recommendation

Chandra BhagavatulaSergey FeldmanRussell PowerWaleed Ammar
2018
NAACL-HLT

We present a content-based method for recommending citations in an academic paper draft. We embed a given query document into a vector space, then use its nearest neighbors as candidates, and rerank… 

Extracting Scientific Figures with Distantly Supervised Neural Networks

Noah SiegelNicholas LourieRussell Power and Waleed Ammar
2018
JCDL

Non-textual components such as charts, diagrams and tables provide key information in many scientific documents, but the lack of large labeled datasets has impeded the development of data-driven… 

Ontology Alignment in the Biomedical Domain Using Entity Definitions and Context

Lucy L. WangChandra BhagavatulaM. NeumannWaleed Ammar
2018
ACL • Proceedings of the BioNLP 2018 Workshop

Ontology alignment is the task of identifying semantically equivalent entities from two given ontologies. Different ontologies have different representations of the same entity, resulting in a need…