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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
A Cost-Efficient Modular Sieve for Extracting Product Information from Company Websites
EMNLP 2024
Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction
EMNLP 2024
Hyper-QKSG: Framework for Automating Query Generation and Knowledge-Snippet Extraction from Tables and Lists
EMNLP 2024
Are LLMs Good Annotators for Discourse-level Event Relation Extraction?
EMNLP 2024
DocEE-zh: A Fine-grained Benchmark for Chinese Document-level Event Extraction
EMNLP 2024
YNU-HPCC at SemEval-2024 Task 2: Applying DeBERTa-v3-large to Safe Biomedical Natural Language Inference for Clinical Trials
SEMEVAL 2024
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
EMNLP 2024
Document-level Claim Extraction and Decontextualisation for Fact-Checking
ACL 2024
A Benchmark for Recipe Understanding in Artificial Agents
COLING 2024
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
COLING 2024
AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports
COLING 2024
SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes
SEMEVAL 2024
Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia
EMNLP 2024
Multi-Level Cross-Modal Alignment for Speech Relation Extraction
EMNLP 2024
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments
EMNLP 2024
A Two-Agent Game for Zero-shot Relation Triplet Extraction
ACL 2024
Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs
EMNLP 2024
A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction
EMNLP 2024
Learning Label Dependencies for Visual Information Extraction
IJCAI 2024
MAMKit: A Comprehensive Multimodal Argument Mining Toolkit
ACL 2024
TKGT: Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMs
EMNLP 2024
ReportParse: A Unified NLP Tool for Extracting Document Structure and Semantics of Corporate Sustainability Reporting
IJCAI 2024
Topic-Oriented Open Relation Extraction with A Priori Seed Generation
EMNLP 2024
Automatic sentence segmentation of clinical record narratives in real-world data
EMNLP 2024
NYCU-NLP at SemEval-2024 Task 2: Aggregating Large Language Models in Biomedical Natural Language Inference for Clinical Trials
SEMEVAL 2024
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