activity
20152019
most citedUnsupervised POS Induction with Word Embeddings

17 citations · 17 across the 1 of their papers we have counts for

collaborators

13 papers

cs.CL2019

SUPP.AI: Finding Evidence for Supplement-Drug Interactions

Lucy Lu Wang, Oyvind Tafjord, Arman Cohan +5

Dietary supplements are used by a large portion of the population, but information on their pharmacologic interactions is incomplete. To address this challenge, we present SUPP.AI,…

cs.CL2019

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.CL2019

ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing

Mark Neumann, Daniel King, Iz Beltagy +1

Despite recent advances in natural language processing, many statistical models for processing text perform extremely poorly under domain shift. Processing biomedical and clinical…

cs.DB2019

GrapAL: Connecting the Dots in Scientific Literature

Christine Betts, Joanna Power, Waleed Ammar

We introduce GrapAL (Graph database of Academic Literature), a versatile tool for exploring and investigating a knowledge base of scientific literature, that was semi-automatically…

cs.CL2018

Combining Distant and Direct Supervision for Neural Relation Extraction

Iz Beltagy, Kyle Lo, Waleed Ammar

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…

cs.CL2018

Ontology Alignment in the Biomedical Domain Using Entity Definitions and Context

Lucy Lu Wang, Chandra Bhagavatula, Mark Neumann +3

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