513 citations · 1.4k across the 15 of their papers we have counts for
20 papers
PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs
Rahul Goel, Waleed Ammar, Aditya Gupta +13
Research interest in task-oriented dialogs has increased as systems such as Google Assistant, Alexa and Siri have become ubiquitous in everyday life. However, the impact of academi…
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,…
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…
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…
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…
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…
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…
Extracting Scientific Figures with Distantly Supervised Neural Networks
Noah Siegel, Nicholas Lourie, Russell Power +1
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…
Citation Count Analysis for Papers with Preprints
Sergey Feldman, Kyle Lo, Waleed Ammar
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 c…
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…
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…
Content-Based Citation Recommendation
Chandra Bhagavatula, Sergey Feldman, Russell Power +1
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 cand…
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
Pradeep Dasigi, Waleed Ammar, Chris Dyer +1
Type-level word embeddings use the same set of parameters to represent all instances of a word regardless of its context, ignoring the inherent lexical ambiguity in language. Inste…
Semi-supervised sequence tagging with bidirectional language models
Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula +1
Pre-trained word embeddings learned from unlabeled text have become a standard component of neural network architectures for NLP tasks. However, in most cases, the recurrent networ…
DyNet: The Dynamic Neural Network Toolkit
Graham Neubig, Chris Dyer, Yoav Goldberg +22
We describe DyNet, a toolkit for implementing neural network models based on dynamic declaration of network structure. In the static declaration strategy that is used in toolkits l…
Massively Multilingual Word Embeddings
Waleed Ammar, George Mulcaire, Yulia Tsvetkov +3
We introduce new methods for estimating and evaluating embeddings of words in more than fifty languages in a single shared embedding space. Our estimation methods, multiCluster and…
Many Languages, One Parser
Waleed Ammar, George Mulcaire, Miguel Ballesteros +2
We train one multilingual model for dependency parsing and use it to parse sentences in several languages. The parsing model uses (i) multilingual word clusters and embeddings; (ii…
Unsupervised POS Induction with Word Embeddings
Chu-Cheng Lin, Waleed Ammar, Chris Dyer +1
Unsupervised word embeddings have been shown to be valuable as features in supervised learning problems; however, their role in unsupervised problems has been less thoroughly explo…
Conditional Random Field Autoencoders for Unsupervised Structured Prediction
Waleed Ammar, Chris Dyer, Noah A. Smith
We introduce a framework for unsupervised learning of structured predictors with overlapping, global features. Each input's latent representation is predicted conditional on the ob…
Secure Localization in Wireless Sensor Networks: A Survey
Waleed Ammar, Ahmed ElDawy, Moustafa Youssef
Wireless sensor networks (WSNs) have gained researchers' attention in the last several years. Small sensors powered by miniaturized microprocessors are capable of supporting severa…