{"total":40,"rows":[{"id":"2209.10655","title":"Mega: Moving Average Equipped Gated Attention","created":"2022-09-21","cited_by_count":179,"area":null},{"id":"2106.01760","title":"Template-Based Named Entity Recognition Using BART","created":"2021-06-03","cited_by_count":153,"area":null},{"id":"2112.10070","title":"Unified Named Entity Recognition as Word-Word Relation Classification","created":"2021-12-19","cited_by_count":90,"area":null},{"id":"2109.09234","title":"Conditional probing: measuring usable information beyond a baseline","created":"2021-09-19","cited_by_count":62,"area":null},{"id":"2109.02707","title":"Text-to-Table: A New Way of Information Extraction","created":"2021-09-06","cited_by_count":47,"area":null},{"id":"2203.03903","title":"InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER","created":"2022-03-08","cited_by_count":31,"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":"2104.05316","title":"Better Feature Integration for Named Entity Recognition","created":"2021-04-12","cited_by_count":22,"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":"2306.06843","title":"Recurrent Attention Networks for Long-text Modeling","created":"2023-06-12","cited_by_count":12,"area":null},{"id":"2205.00034","title":"What do we Really Know about State of the Art NER?","created":"2022-04-29","cited_by_count":10,"area":null},{"id":"2310.04835","title":"On the Evolution of Knowledge Graphs: A Survey and Perspective","created":"2023-10-07","cited_by_count":10,"area":null},{"id":"2211.00732","title":"Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia","created":"2022-10-28","cited_by_count":8,"area":null},{"id":"2404.09145","title":"ToNER: Type-oriented Named Entity Recognition with Generative Language Model","created":"2024-04-14","cited_by_count":8,"area":null},{"id":"2306.12245","title":"Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking","created":"2023-06-21","cited_by_count":7,"area":null},{"id":"2101.04355","title":"Neural Contract Element Extraction Revisited: Letters from Sesame Street","created":"2021-01-12","cited_by_count":6,"area":null},{"id":"2111.13854","title":"A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process","created":"2021-11-27","cited_by_count":5,"area":null},{"id":"2403.20056","title":"Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets","created":"2024-03-29","cited_by_count":5,"area":null},{"id":"2104.04434","title":"Larger-Context Tagging: When and Why Does It Work?","created":"2021-04-09","cited_by_count":4,"area":null},{"id":"2109.08818","title":"DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling","created":"2021-09-18","cited_by_count":4,"area":null},{"id":"2303.10870","title":"Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition","created":"2023-03-20","cited_by_count":4,"area":null},{"id":"2111.00884","title":"Enhanced Language Representation with Label Knowledge for Span Extraction","created":"2021-11-01","cited_by_count":3,"area":null},{"id":"2305.06330","title":"Korean Named Entity Recognition Based on Language-Specific Features","created":"2023-05-10","cited_by_count":3,"area":null},{"id":"2109.05361","title":"COMBO: State-of-the-Art Morphosyntactic Analysis","created":"2021-09-11","cited_by_count":2,"area":null},{"id":"2201.10463","title":"Distantly supervised end-to-end medical entity extraction from electronic health records with human-level quality","created":"2022-01-25","cited_by_count":2,"area":null},{"id":"2207.03300","title":"Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition","created":"2022-07-07","cited_by_count":2,"area":null},{"id":"2210.14163","title":"Multi-Granularity Cross-Modality Representation Learning for Named Entity Recognition on Social Media","created":"2022-10-19","cited_by_count":2,"area":null},{"id":"2403.15453","title":"Span-Oriented Information Extraction -- A Unifying Perspective on Information Extraction","created":"2024-03-18","cited_by_count":2,"area":null},{"id":"2206.06586","title":"FreeTransfer-X: Safe and Label-Free Cross-Lingual Transfer from Off-the-Shelf Models","created":"2022-06-14","cited_by_count":1,"area":null},{"id":"2304.10637","title":"IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge Bases","created":"2023-04-20","cited_by_count":1,"area":null},{"id":"2102.09923","title":"Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion","created":"2021-02-19","cited_by_count":0,"area":null},{"id":"2106.00887","title":"Exploiting Global Contextual Information for Document-level Named Entity Recognition","created":"2021-06-02","cited_by_count":0,"area":null},{"id":"2111.14168","title":"Mapping Industry 4.0 Technologies: From Cyber-Physical Systems to Artificial Intelligence","created":"2021-11-28","cited_by_count":0,"area":null},{"id":"2203.14738","title":"Using Domain Knowledge for Low Resource Named Entity Recognition","created":"2022-03-28","cited_by_count":0,"area":null},{"id":"2204.04888","title":"Knowledge Graph and Accurate Portrait Construction of Scientific and Technological Academic Conferences","created":"2022-04-11","cited_by_count":0,"area":null},{"id":"2208.14627","title":"Application of Data Encryption in Chinese Named Entity Recognition","created":"2022-08-31","cited_by_count":0,"area":null},{"id":"2312.07088","title":"BED: Bi-Encoder-Decoder Model for Canonical Relation Extraction","created":"2023-12-12","cited_by_count":0,"area":null},{"id":"2410.00024","title":"Cross-Lingual News Event Correlation for Stock Market Trend Prediction","created":"2024-09-16","cited_by_count":0,"area":null},{"id":"2505.12454","title":"Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations","created":"2025-05-18","cited_by_count":0,"area":null},{"id":"2511.20143","title":"SEDA: A Self-Adapted Entity-Centric Data Augmentation for Boosting Gird-based Discontinuous NER Models","created":"2025-11-25","cited_by_count":0,"area":null}],"next_cursor":null}