{"total":82,"rows":[{"id":"2104.05919","title":"Document-Level Event Argument Extraction by Conditional Generation","created":"2021-04-13","cited_by_count":155,"area":null},{"id":"2105.07464","title":"Few-NERD: A Few-Shot Named Entity Recognition Dataset","created":"2021-05-16","cited_by_count":152,"area":null},{"id":"2109.07589","title":"CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning","created":"2021-09-15","cited_by_count":64,"area":null},{"id":"2102.01335","title":"Neural Data Augmentation via Example Extrapolation","created":"2021-02-02","cited_by_count":54,"area":null},{"id":"2103.03095","title":"A Survey on Spoken Language Understanding: Recent Advances and New Frontiers","created":"2021-03-04","cited_by_count":53,"area":null},{"id":"2104.05763","title":"Few-shot Intent Classification and Slot Filling with Retrieved Examples","created":"2021-04-12","cited_by_count":35,"area":null},{"id":"2110.08458","title":"Controllable Semantic Parsing via Retrieval Augmentation","created":"2021-10-16","cited_by_count":35,"area":null},{"id":"2109.00720","title":"LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting","created":"2021-08-31","cited_by_count":27,"area":null},{"id":"2109.13023","title":"An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling","created":"2021-09-27","cited_by_count":26,"area":null},{"id":"2205.01500","title":"Meta Learning for Natural Language Processing: A Survey","created":"2022-05-03","cited_by_count":26,"area":null},{"id":"2204.05751","title":"Decomposed Meta-Learning for Few-Shot Named Entity Recognition","created":"2022-04-12","cited_by_count":22,"area":null},{"id":"2106.15167","title":"Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition","created":"2021-06-29","cited_by_count":21,"area":null},{"id":"2203.08985","title":"Label Semantics for Few Shot Named Entity Recognition","created":"2022-03-16","cited_by_count":21,"area":null},{"id":"2305.13512","title":"Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding","created":"2023-05-22","cited_by_count":21,"area":null},{"id":"2208.07989","title":"DICE: Data-Efficient Clinical Event Extraction with Generative Models","created":"2022-08-16","cited_by_count":20,"area":null},{"id":"2205.13568","title":"Learning Dialogue Representations from Consecutive Utterances","created":"2022-05-26","cited_by_count":17,"area":null},{"id":"2208.08023","title":"Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes","created":"2022-08-17","cited_by_count":17,"area":null},{"id":"2203.12252","title":"Few-shot Named Entity Recognition with Self-describing Networks","created":"2022-03-23","cited_by_count":16,"area":null},{"id":"2109.05357","title":"Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework","created":"2021-09-11","cited_by_count":15,"area":null},{"id":"2307.00186","title":"How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain","created":"2023-07-01","cited_by_count":14,"area":null},{"id":"2308.09073","title":"mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning","created":"2023-08-17","cited_by_count":14,"area":null},{"id":"2204.14081","title":"Few-shot learning for medical text: A systematic review","created":"2022-04-21","cited_by_count":13,"area":null},{"id":"2101.06514","title":"Linguistically-Enriched and Context-Aware Zero-shot Slot Filling","created":"2021-01-16","cited_by_count":12,"area":null},{"id":"2105.01044","title":"Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review","created":"2021-05-03","cited_by_count":12,"area":null},{"id":"2211.04337","title":"Prompt-Based Metric Learning for Few-Shot NER","created":"2022-11-08","cited_by_count":12,"area":null},{"id":"2402.12801","title":"Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting","created":"2024-02-20","cited_by_count":12,"area":null},{"id":"2106.08484","title":"Generative Conversational Networks","created":"2021-06-15","cited_by_count":11,"area":null},{"id":"2109.09366","title":"Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks","created":"2021-09-20","cited_by_count":10,"area":null},{"id":"2204.02123","title":"Improved and Efficient Conversational Slot Labeling through Question Answering","created":"2022-04-05","cited_by_count":10,"area":null},{"id":"2110.13691","title":"An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling","created":"2021-10-26","cited_by_count":9,"area":null},{"id":"2308.14533","title":"A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER","created":"2023-08-28","cited_by_count":9,"area":null},{"id":"2210.09049","title":"SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition","created":"2022-10-17","cited_by_count":8,"area":null},{"id":"2305.09785","title":"Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models","created":"2023-05-16","cited_by_count":8,"area":null},{"id":"2305.12802","title":"Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy","created":"2023-05-22","cited_by_count":8,"area":null},{"id":"2305.13628","title":"Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning","created":"2023-05-23","cited_by_count":8,"area":null},{"id":"2305.10306","title":"UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective","created":"2023-05-17","cited_by_count":7,"area":null},{"id":"2305.11038","title":"Learning In-context Learning for Named Entity Recognition","created":"2023-05-18","cited_by_count":7,"area":null},{"id":"2103.02333","title":"Few-shot Learning for Slot Tagging with Attentive Relational Network","created":"2021-03-03","cited_by_count":6,"area":null},{"id":"2106.07343","title":"Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling","created":"2021-05-25","cited_by_count":6,"area":null},{"id":"2302.13610","title":"A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Name Entity Recognition","created":"2023-02-27","cited_by_count":6,"area":null},{"id":"2410.15019","title":"A Survey of Ontology Expansion for Conversational Understanding","created":"2024-10-19","cited_by_count":6,"area":null},{"id":"2204.00885","title":"Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging","created":"2022-04-02","cited_by_count":5,"area":null},{"id":"2305.01901","title":"Few-shot Event Detection: An Empirical Study and a Unified View","created":"2023-05-03","cited_by_count":5,"area":null},{"id":"2305.12217","title":"PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search","created":"2023-05-20","cited_by_count":5,"area":null},{"id":"2108.11635","title":"MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging","created":"2021-08-26","cited_by_count":4,"area":null},{"id":"2210.05632","title":"SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition","created":"2022-10-11","cited_by_count":4,"area":null},{"id":"2302.06397","title":"Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition","created":"2023-02-13","cited_by_count":4,"area":null},{"id":"2305.18624","title":"W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition","created":"2023-05-29","cited_by_count":4,"area":null},{"id":"2312.07961","title":"Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification","created":"2023-12-13","cited_by_count":4,"area":null},{"id":"2108.06590","title":"Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language Models","created":"2021-08-14","cited_by_count":3,"area":null},{"id":"2205.03656","title":"Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding","created":"2022-05-07","cited_by_count":3,"area":null},{"id":"2210.05613","title":"Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents","created":"2022-10-11","cited_by_count":3,"area":null},{"id":"2306.05323","title":"Advancing Italian Biomedical Information Extraction with Transformers-based Models: Methodological Insights and Multicenter Practical Application","created":"2023-06-08","cited_by_count":3,"area":null},{"id":"2307.01764","title":"Knowledge-Aware Audio-Grounded Generative Slot Filling for Limited Annotated Data","created":"2023-07-04","cited_by_count":3,"area":null},{"id":"2310.18358","title":"A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models","created":"2023-10-24","cited_by_count":3,"area":null},{"id":"2311.07418","title":"Speech-based Slot Filling using Large Language Models","created":"2023-11-13","cited_by_count":3,"area":null},{"id":"2406.05460","title":"Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition","created":"2024-06-08","cited_by_count":3,"area":null},{"id":"2206.07841","title":"TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language Models","created":"2022-06-15","cited_by_count":2,"area":null},{"id":"2210.08806","title":"HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold","created":"2022-10-17","cited_by_count":2,"area":null},{"id":"2303.13801","title":"Toward Open-domain Slot Filling via Self-supervised Co-training","created":"2023-03-24","cited_by_count":2,"area":null},{"id":"2306.03974","title":"TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition","created":"2023-06-06","cited_by_count":2,"area":null},{"id":"2312.13495","title":"Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling","created":"2023-12-21","cited_by_count":2,"area":null},{"id":"2403.14222","title":"Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition","created":"2024-03-21","cited_by_count":2,"area":null},{"id":"2411.14551","title":"An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains","created":"2024-11-21","cited_by_count":2,"area":null},{"id":"2110.08254","title":"Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning","created":"2021-10-13","cited_by_count":1,"area":null},{"id":"2112.04999","title":"Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF","created":"2021-12-09","cited_by_count":1,"area":null},{"id":"2211.03039","title":"Prompt-based Text Entailment for Low-Resource Named Entity Recognition","created":"2022-11-06","cited_by_count":1,"area":null},{"id":"2302.07739","title":"Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition","created":"2023-02-14","cited_by_count":1,"area":null},{"id":"2303.05034","title":"Multi-Stage Coarse-to-Fine Contrastive Learning for Conversation Intent Induction","created":"2023-03-09","cited_by_count":1,"area":null},{"id":"2305.14299","title":"Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings","created":"2023-05-23","cited_by_count":1,"area":null},{"id":"2307.07946","title":"Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling","created":"2023-07-16","cited_by_count":1,"area":null},{"id":"2310.14793","title":"What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies","created":"2023-10-23","cited_by_count":1,"area":null},{"id":"2403.16463","title":"Few-shot Named Entity Recognition via Superposition Concept Discrimination","created":"2024-03-25","cited_by_count":1,"area":null},{"id":"2109.05234","title":"Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning","created":"2021-09-11","cited_by_count":0,"area":null},{"id":"2208.08053","title":"A Sequence Tagging based Framework for Few-Shot Relation Extraction","created":"2022-08-17","cited_by_count":0,"area":null},{"id":"2305.01914","title":"Causal Interventions-based Few-Shot Named Entity Recognition","created":"2023-05-03","cited_by_count":0,"area":null},{"id":"2305.04049","title":"Actively Discovering New Slots for Task-oriented Conversation","created":"2023-05-06","cited_by_count":0,"area":null},{"id":"2310.19055","title":"A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods","created":"2023-10-29","cited_by_count":0,"area":null},{"id":"2404.06970","title":"Hybrid Multi-stage Decoding for Few-shot NER with Entity-aware Contrastive Learning","created":"2024-04-10","cited_by_count":0,"area":null},{"id":"2404.17178","title":"A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition","created":"2024-04-26","cited_by_count":0,"area":null},{"id":"2412.00426","title":"Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection","created":"2024-11-30","cited_by_count":0,"area":null},{"id":"2510.04001","title":"Named Entity Recognition in COVID-19 tweets with Entity Knowledge Augmentation","created":"2025-10-05","cited_by_count":0,"area":null}],"next_cursor":null}