{"total":42,"rows":[{"id":"2210.10341","title":"BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining","created":"2022-10-19","cited_by_count":538,"area":null},{"id":"2301.03282","title":"Universal Information Extraction as Unified Semantic Matching","created":"2023-01-09","cited_by_count":48,"area":null},{"id":"2306.02051","title":"A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers","created":"2023-06-03","cited_by_count":22,"area":null},{"id":"2205.12585","title":"TAGPRIME: A Unified Framework for Relational Structure Extraction","created":"2022-05-25","cited_by_count":15,"area":null},{"id":"2208.03054","title":"Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition","created":"2022-08-05","cited_by_count":15,"area":null},{"id":"2211.09039","title":"UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction","created":"2022-11-16","cited_by_count":14,"area":null},{"id":"2310.17238","title":"Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks","created":"2023-10-26","cited_by_count":11,"area":null},{"id":"2209.04112","title":"Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction","created":"2022-09-09","cited_by_count":10,"area":null},{"id":"2211.15003","title":"STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction","created":"2022-11-28","cited_by_count":8,"area":null},{"id":"2304.14770","title":"RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction","created":"2023-04-28","cited_by_count":7,"area":null},{"id":"2410.08393","title":"The Effects of Hallucinations in Synthetic Training Data for Relation Extraction","created":"2024-10-10","cited_by_count":7,"area":null},{"id":"2303.15100","title":"An Information Extraction Study: Take In Mind the Tokenization!","created":"2023-03-27","cited_by_count":6,"area":null},{"id":"2211.01797","title":"Query-based Instance Discrimination Network for Relational Triple Extraction","created":"2022-11-03","cited_by_count":5,"area":null},{"id":"2401.01326","title":"An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction","created":"2024-01-02","cited_by_count":5,"area":null},{"id":"2310.18345","title":"A Survey on Semantic Processing Techniques","created":"2023-10-22","cited_by_count":4,"area":null},{"id":"2509.07801","title":"SciNLP: A Domain-Specific Benchmark for Full-Text Scientific Entity and Relation Extraction in NLP","created":"2025-09-09","cited_by_count":4,"area":null},{"id":"2201.01405","title":"Mining Adverse Drug Reactions from Unstructured Mediums at Scale","created":"2022-01-05","cited_by_count":3,"area":null},{"id":"2209.10754","title":"INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion","created":"2022-09-22","cited_by_count":3,"area":null},{"id":"2405.20787","title":"PGA-SciRE: Harnessing LLM on Data Augmentation for Enhancing Scientific Relation Extraction","created":"2024-05-30","cited_by_count":3,"area":null},{"id":"2202.07281","title":"Towards Effective Multi-Task Interaction for Entity-Relation Extraction: A Unified Framework with Selection Recurrent Network","created":"2022-02-15","cited_by_count":2,"area":null},{"id":"2205.05270","title":"Relational Triple Extraction: One Step is Enough","created":"2022-05-11","cited_by_count":2,"area":null},{"id":"2210.12720","title":"Span-based joint entity and relation extraction augmented with sequence tagging mechanism","created":"2022-10-23","cited_by_count":2,"area":null},{"id":"2308.04424","title":"A Bi-directional Multi-hop Inference Model for Joint Dialog Sentiment Classification and Act Recognition","created":"2023-08-08","cited_by_count":2,"area":null},{"id":"2404.12491","title":"GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation Extraction","created":"2024-04-18","cited_by_count":2,"area":null},{"id":"2504.04083","title":"A Benchmark for End-to-End Zero-Shot Biomedical Relation Extraction with LLMs: Experiments with OpenAI Models","created":"2025-04-05","cited_by_count":2,"area":null},{"id":"2212.01844","title":"Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction","created":"2022-12-04","cited_by_count":1,"area":null},{"id":"2212.08929","title":"Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field","created":"2022-12-17","cited_by_count":1,"area":null},{"id":"2302.04790","title":"Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages","created":"2023-02-09","cited_by_count":1,"area":null},{"id":"2302.09887","title":"90% F1 Score in Relational Triple Extraction: Is it Real ?","created":"2023-02-20","cited_by_count":1,"area":null},{"id":"2308.12531","title":"CARE: Co-Attention Network for Joint Entity and Relation Extraction","created":"2023-08-24","cited_by_count":1,"area":null},{"id":"2404.19154","title":"RTF: Region-based Table Filling Method for Relational Triple Extraction","created":"2024-04-29","cited_by_count":1,"area":null},{"id":"2503.03201","title":"Towards Robust Universal Information Extraction: Benchmark, Evaluation, and Solution","created":"2025-03-05","cited_by_count":1,"area":null},{"id":"2504.12816","title":"SMARTe: Slot-based Method for Accountable Relational Triple extraction","created":"2025-04-17","cited_by_count":1,"area":null},{"id":"2511.03610","title":"A systematic review of relation extraction task since the emergence of Transformers","created":"2025-11-05","cited_by_count":1,"area":null},{"id":"2310.00696","title":"Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?","created":"2023-10-01","cited_by_count":0,"area":null},{"id":"2404.12493","title":"EnriCo: Enriched Representation and Globally Constrained Inference for Entity and Relation Extraction","created":"2024-04-18","cited_by_count":0,"area":null},{"id":"2405.08311","title":"A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations","created":"2024-05-14","cited_by_count":0,"area":null},{"id":"2504.09582","title":"Reduction of Supervision for Biomedical Knowledge Discovery","created":"2025-04-13","cited_by_count":0,"area":null},{"id":"2505.20215","title":"Dependency Parsing is More Parameter-Efficient with Normalization","created":"2025-05-26","cited_by_count":0,"area":null},{"id":"2507.11661","title":"Partitioner Guided Modal Learning Framework","created":"2025-07-15","cited_by_count":0,"area":null},{"id":"2602.08289","title":"Knowledge Augmented Entity and Relation Extraction for Legal Documents with Hypergraph Neural Network","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2607.09666","title":"Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey","created":"2026-05-12","cited_by_count":0,"area":null}],"next_cursor":null}