{"total":35,"rows":[{"id":"2109.06415","title":"Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction","created":"2021-09-14","cited_by_count":33,"area":null},{"id":"2205.02225","title":"HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction","created":"2022-05-04","cited_by_count":32,"area":null},{"id":"2210.17004","title":"Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution","created":"2022-10-31","cited_by_count":28,"area":null},{"id":"2208.03903","title":"Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph","created":"2022-08-08","cited_by_count":22,"area":null},{"id":"2302.00796","title":"Unsupervised Entity Alignment for Temporal Knowledge Graphs","created":"2023-02-01","cited_by_count":19,"area":null},{"id":"2203.02135","title":"Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation","created":"2022-03-04","cited_by_count":17,"area":null},{"id":"2305.03507","title":"Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence","created":"2023-05-02","cited_by_count":17,"area":null},{"id":"2201.10927","title":"Pair-Level Supervised Contrastive Learning for Natural Language Inference","created":"2022-01-26","cited_by_count":12,"area":null},{"id":"2305.16663","title":"GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks","created":"2023-05-26","cited_by_count":10,"area":null},{"id":"2402.12411","title":"Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks","created":"2024-02-19","cited_by_count":9,"area":null},{"id":"2205.15550","title":"A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference","created":"2022-05-31","cited_by_count":8,"area":null},{"id":"2305.12761","title":"Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer","created":"2023-05-22","cited_by_count":7,"area":null},{"id":"2305.16166","title":"Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis","created":"2023-05-25","cited_by_count":7,"area":null},{"id":"2206.12556","title":"Graph Component Contrastive Learning for Concept Relatedness Estimation","created":"2022-06-25","cited_by_count":6,"area":null},{"id":"2210.10343","title":"Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks","created":"2022-10-19","cited_by_count":6,"area":null},{"id":"2305.03503","title":"Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction","created":"2023-05-02","cited_by_count":6,"area":null},{"id":"2102.05571","title":"TINKER: A framework for Open source Cyberthreat Intelligence","created":"2021-02-10","cited_by_count":4,"area":null},{"id":"2305.16128","title":"Give Me More Details: Improving Fact-Checking with Latent Retrieval","created":"2023-05-25","cited_by_count":4,"area":null},{"id":"2405.08729","title":"Targeted Augmentation for Low-Resource Event Extraction","created":"2024-05-14","cited_by_count":4,"area":null},{"id":"2205.12490","title":"Improve Event Extraction via Self-Training with Gradient Guidance","created":"2022-05-25","cited_by_count":3,"area":null},{"id":"2305.07266","title":"Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition","created":"2023-05-12","cited_by_count":3,"area":null},{"id":"2209.09093","title":"Scene Graph Modification as Incremental Structure Expanding","created":"2022-09-15","cited_by_count":2,"area":null},{"id":"2305.15872","title":"Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation","created":"2023-05-25","cited_by_count":2,"area":null},{"id":"2306.04480","title":"Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing","created":"2023-05-29","cited_by_count":2,"area":null},{"id":"2306.09697","title":"Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data","created":"2023-06-16","cited_by_count":2,"area":null},{"id":"2310.05364","title":"Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths","created":"2023-10-09","cited_by_count":2,"area":null},{"id":"2305.15374","title":"ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation Extraction","created":"2023-05-24","cited_by_count":1,"area":null},{"id":"2306.10153","title":"Semi-supervised Relation Extraction via Data Augmentation and Consistency-training","created":"2023-06-16","cited_by_count":1,"area":null},{"id":"2412.08529","title":"TECO: Improving Multimodal Intent Recognition with Text Enhancement through Commonsense Knowledge Extraction","created":"2024-12-11","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":"2112.01048","title":"From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation Extraction","created":"2021-12-02","cited_by_count":0,"area":null},{"id":"2209.01431","title":"STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction","created":"2022-09-03","cited_by_count":0,"area":null},{"id":"2211.06014","title":"Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction","created":"2022-11-11","cited_by_count":0,"area":null},{"id":"2510.11444","title":"GenCNER: A Generative Framework for Continual Named Entity Recognition","created":"2025-10-13","cited_by_count":0,"area":null},{"id":"2601.07548","title":"Contextual Discrepancy-Aware Contrastive Learning for Robust Medical Time Series Diagnosis in Small-Sample Scenarios","created":"2026-01-12","cited_by_count":0,"area":null}],"next_cursor":null}