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← Applications
Natural Language Processing
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Information Extraction
3209 directly classified papers
Papers per year
2002: 1
2003: 1
2009: 1
2011: 3
2012: 2
2013: 1
2016: 28
2017: 113
2018: 179
2019: 278
2020: 323
2021: 412
2022: 424
2023: 426
2024: 437
2025: 489
2026: 91
Papers
Scalable Knowledge Graph Construction from Text Collections
EMNLP 2019
Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text
NAACL 2019
Litigation Analytics: Extracting and querying motions and orders from US federal courts
NAACL 2019
Convolutional neural networks for low-resource morpheme segmentation: baseline or state-of-the-art?
ACL 2019
Attention Guided Graph Convolutional Networks for Relation Extraction
ACL 2019
Extracting Symptoms and their Status from Clinical Conversations
ACL 2019
Global Textual Relation Embedding for Relational Understanding
ACL 2019
Graph Neural Networks with Generated Parameters for Relation Extraction
ACL 2019
Relation Extraction Using Supervision from Topic Knowledge of Relation Labels
IJCAI 2019
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction
ACL 2019
Visualizing Trends of Key Roles in News Articles
EMNLP 2019
A general framework for information extraction using dynamic span graphs
NAACL 2019
A Multi-Task Learning Framework for Extracting Bacteria Biotope Information
EMNLP 2019
Rapid Customization for Event Extraction
ACL 2019
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
ACL 2019
Zero-Shot Entity Linking by Reading Entity Descriptions
ACL 2019
Annotating with Pros and Cons of Technologies in Computer Science Papers
NAACL 2019
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents
NAACL 2019
What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue
NAACL 2019
AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification
NAACL 2019
Relation Extraction using Explicit Context Conditioning
NAACL 2019
Semi-Supervised Teacher-Student Architecture for Relation Extraction
NAACL 2019
Extracting Factual Min/Max Age Information from Clinical Trial Studies
NAACL 2019
A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction
NAACL 2019
A Bag-of-concepts Model Improves Relation Extraction in a Narrow Knowledge Domain with Limited Data
NAACL 2019
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