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03/15/2023
PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs
Research interest in task-oriented dialogs has increased as systems such...
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09/17/2019
Extracting evidence of supplement-drug interactions from literature
Dietary supplements are used by a large portion of the population, but i...
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04/02/2019
Structural Scaffolds for Citation Intent Classification in Scientific Publications
Identifying the intent of a citation in scientific papers (e.g., backgro...
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02/20/2019
ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
Despite recent advances in natural language processing, many statistical...
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02/14/2019
GrapAL: Connecting the Dots in Scientific Literature
We introduce GrapAL (Graph database of Academic Literature), a versatile...
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02/14/2019
GrapAL: Querying Semantic Scholar's Literature Graph
We introduce GrapAL (Graph database of Academic Literature), a versatile...
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10/30/2018
Improving Distant Supervision with Maxpooled Attention and Sentence-Level Supervision
We propose an effective multitask learning setup for reducing distant su...
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06/20/2018
Ontology Alignment in the Biomedical Domain Using Entity Definitions and Context
Ontology alignment is the task of identifying semantically equivalent en...
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05/14/2018
Citation Count Analysis for Papers with Preprints
We explore the degree to which papers prepublished on arXiv garner more ...
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05/06/2018
Construction of the Literature Graph in Semantic Scholar
We describe a deployed scalable system for organizing published scientif...
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04/25/2018
A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications
Peer reviewing is a central component in the scientific publishing proce...
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04/06/2018
Extracting Scientific Figures with Distantly Supervised Neural Networks
Non-textual components such as charts, diagrams and tables provide key i...
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02/22/2018
Content-Based Citation Recommendation
We present a content-based method for recommending citations in an acade...
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05/08/2017
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
Type-level word embeddings use the same set of parameters to represent a...
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04/29/2017
Semi-supervised sequence tagging with bidirectional language models
Pre-trained word embeddings learned from unlabeled text have become a st...
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01/15/2017
DyNet: The Dynamic Neural Network Toolkit
We describe DyNet, a toolkit for implementing neural network models base...
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02/05/2016
Massively Multilingual Word Embeddings
We introduce new methods for estimating and evaluating embeddings of wor...
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02/04/2016
Many Languages, One Parser
We train one multilingual model for dependency parsing and use it to par...
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03/23/2015