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02/10/2023
Span-based Named Entity Recognition by Generating and Compressing Information
The information bottleneck (IB) principle has been proven effective in v...
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04/01/2022
Learning Disentangled Representations of Negation and Uncertainty
Negation and uncertainty modeling are long-standing tasks in natural lan...
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06/27/2021
Analyzing Research Trends in Inorganic Materials Literature Using NLP
In the field of inorganic materials science, there is a growing demand t...
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06/18/2021
A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction
In this paper, we propose a novel edge-editing approach to extract relat...
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04/16/2021
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors
We propose a multi-task, probabilistic approach to facilitate distantly ...
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02/18/2020
Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature
The synthesis process is essential for achieving computational experimen...
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10/22/2019
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection
We tackle the nested and overlapping event detection task and propose a ...
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08/31/2019
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs
Document-level relation extraction is a complex human process that requi...
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06/11/2019
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network
Inter-sentence relation extraction deals with a number of complex semant...
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02/19/2019
A Walk-based Model on Entity Graphs for Relation Extraction
We present a novel graph-based neural network model for relation extract...
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05/15/2018
Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information
We propose a novel neural method to extract drug-drug interactions (DDIs...
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06/16/2017
Bib2vec: An Embedding-based Search System for Bibliographic Information
We propose a novel embedding model that represents relationships among s...
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01/05/2016
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
We present a novel end-to-end neural model to extract entities and relat...
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02/28/2015
