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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
Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction
EMNLP 2024
C-ICL: Contrastive In-context Learning for Information Extraction
EMNLP 2024
Schema-Driven Information Extraction from Heterogeneous Tables
EMNLP 2024
LogicST: A Logical Self-Training Framework for Document-Level Relation Extraction with Incomplete Annotations
EMNLP 2024
AR-NLU: A Framework for Enhancing Natural Language Understanding Model Robustness against ASR Errors
INTERSPEECH 2024
A Survey on Open Information Extraction from Rule-based Model to Large Language Model
EMNLP 2024
Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases
EMNLP 2024
A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction
EMNLP 2024
Learning to Generate Rules for Realistic Few-Shot Relation Classification: An Encoder-Decoder Approach
EMNLP 2024
General Collaborative Framework between Large Language Model and Experts for Universal Information Extraction
EMNLP 2024
DocEE-zh: A Fine-grained Benchmark for Chinese Document-level Event Extraction
EMNLP 2024
ESG-Kor: A Korean Dataset for ESG-related Information Extraction and Practical Use Cases
EMNLP 2024
Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation
EMNLP 2024
ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles
EMNLP 2024
Hyper-QKSG: Framework for Automating Query Generation and Knowledge-Snippet Extraction from Tables and Lists
EMNLP 2024
Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia
EMNLP 2024
Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs
EMNLP 2024
A Cost-Efficient Modular Sieve for Extracting Product Information from Company Websites
EMNLP 2024
CARE: Co-Attention Network for Joint Entity and Relation Extraction
COLING 2024
Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction
AAAI 2024
Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text
EMNLP 2024
Are LLMs Good Annotators for Discourse-level Event Relation Extraction?
EMNLP 2024
ITER: Iterative Transformer-based Entity Recognition and Relation Extraction
EMNLP 2024
Preserving Generalization of Language models in Few-shot Continual Relation Extraction
EMNLP 2024
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting
EMNLP 2024
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