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FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-58347-1_10openalex-snapshot

Domain-Adversarial Training of Neural Networks

inferredcites →https://doi.org/10.1023/a:1007601015854openalex-snapshot

Robust Classification for Imprecise Environments

inferredcites →https://doi.org/10.1109/iccv.2013.100openalex-snapshot

Unsupervised Domain Adaptation by Domain Invariant Projection

inferredcites →https://doi.org/10.1109/iccv.2013.368openalex-snapshot

Unsupervised Visual Domain Adaptation Using Subspace Alignment

inferredcites →https://doi.org/10.1109/tnn.2010.2091281openalex-snapshot

Domain Adaptation via Transfer Component Analysis

inferredcites →https://doi.org/10.1145/2629489openalex-snapshot

Wikidata

inferredcites →https://doi.org/10.1609/aaai.v33i01.33016407openalex-snapshot

Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

inferredcites →https://doi.org/10.18653/v1/d18-1514openalex-snapshot

FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation

inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

inferredcites →https://doi.org/10.18653/v1/p19-1279openalex-snapshot

Matching the Blanks: Distributional Similarity for Relation Learning

inferredcites →https://doi.org/10.3115/1610075.1610094openalex-snapshot

Domain adaptation with structural correspondence learning

inferredcites →https://doi.org/10.3115/1690219.1690287openalex-snapshot

Distant supervision for relation extraction without labeled data

inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot

AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale

inferredcites →https://doi.org/10.48550/arxiv.1412.6572openalex-snapshot

Explaining and Harnessing Adversarial Examples

inferredcites →https://doi.org/10.48550/arxiv.1703.05175openalex-snapshot

Prototypical Networks for Few-shot Learning

inferredcites →https://doi.org/10.48550/arxiv.1911.10422openalex-snapshot

SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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An Angular Shrinkage BERT Model for Few-Shot Relation Extraction with None-of-The-Above Detection

inferred← citeshttps://doi.org/10.1007/978-3-030-67661-2_37openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-030-82136-4_9openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-030-84186-7_13openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-030-88480-2_56openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-030-93119-3_8openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-031-30678-5_10openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-031-33380-4_11openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-031-40283-8_13openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-031-44201-8_5openalex-snapshot

Multi-relation Identification for Few-Shot Document-Level Relation Extraction

inferred← citeshttps://doi.org/10.1007/978-3-031-46674-8_5openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-031-47243-5_14openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-031-57515-0_2openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-031-70239-6_31openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-031-96522-7_12openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-981-15-5573-2openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-981-96-0119-6_28openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-981-96-6591-4_11openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-981-99-7596-9_12openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-981-99-8184-7_22openalex-snapshot

Learning Discriminative Semantic and Multi-view Context for Domain Adaptive Few-Shot Relation Extraction

inferred← citeshttps://doi.org/10.1007/s00500-025-10602-2openalex-snapshot

A novel few-shot relation extraction approach based on multi-granularity semantic interaction

inferred← citeshttps://doi.org/10.1007/s00521-021-06667-3openalex-snapshot

Deep neural network-based relation extraction: an overview

inferred← citeshttps://doi.org/10.1007/s00521-023-08704-9openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s00521-023-08795-4openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10462-024-11042-4openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10489-022-03596-zopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10489-023-04634-0openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s11280-023-01143-5openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s11280-023-01184-wopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s11633-023-1470-4openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s12559-021-09917-7openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s13042-022-01604-9openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s13042-025-02814-7openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s40747-024-01692-wopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s44230-022-00012-0openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/b978-0-323-89931-4.00005-5openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.aei.2025.104264openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112302openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104696openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110493openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.csl.2022.101432openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.csl.2024.101762openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114795openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121971openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102596openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102863openalex-snapshot

A Contrastive learning-based Task Adaptation model for few-shot intent recognition

inferred← citeshttps://doi.org/10.1016/j.jii.2021.100301openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110477openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111652openalex-snapshot

CL&CD: Contrastive Learning and Cluster Description for Zero-Shot Relation Extraction

inferred← citeshttps://doi.org/10.1016/j.neucom.2022.04.067openalex-snapshot

Enhance prototypical networks with hybrid attention and confusing loss function for few-shot relation classification

inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126796openalex-snapshot

Multi-transformer based on prototypical enhancement network for few-shot relation classification with domain adaptation

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129752openalex-snapshot

Few-shot medical relation extraction via prompt tuning enhanced pre-trained language model

inferred← citeshttps://doi.org/10.1016/j.neunet.2023.10.025openalex-snapshot

Adaptive class augmented prototype network for few-shot relation extraction

inferred← citeshttps://doi.org/10.1016/j.neunet.2023.10.053openalex-snapshot

Improving few-shot relation extraction through semantics-guided learning

inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107259openalex-snapshot

Exploiting instance-label dynamics through reciprocal anchored contrastive learning for few-shot relation extraction

inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110779openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.procs.2024.09.525openalex-snapshot

One-shot relation retrieval in news archives: adapting N-way K-shot relation Classification for efficient knowledge extraction

inferred← citeshttps://doi.org/10.1029/2025ea004335openalex-snapshot

Joint Extraction Method for Spatial Relations in Chinese Geological Texts

inferred← citeshttps://doi.org/10.1038/s41598-025-04474-7openalex-snapshot

Research on a denoising model for entity-relation extraction using hierarchical contrastive learning with distant supervision

inferred← citeshttps://doi.org/10.1080/09613218.2023.2238851openalex-snapshot

BEKG: A built environment knowledge graph

inferred← citeshttps://doi.org/10.1109/acait60137.2023.10528396openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/access.2024.3452720openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/aihcir61661.2023.00102openalex-snapshot

Enhancing Prototype Networks for Relation Classification with Multi-Feature and Confusing Loss Function in Low-resource scenarios

inferred← citeshttps://doi.org/10.1109/bibm55620.2022.9995320openalex-snapshot

S3AAL: Support Set Selection based on Adversarial Active Learning for Medical Few-Shot Relation Extraction

inferred← citeshttps://doi.org/10.1109/cis52066.2020.00028openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/cisce65916.2025.11065880openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/cvprw56347.2022.00447openalex-snapshot

Uniform Priors for Data-Efficient Learning

inferred← citeshttps://doi.org/10.1109/eibdct69742.2026.11566868openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/eibdct69742.2026.11566980openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096232openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889770openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/icccs52626.2021.9449297openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/iccrd64588.2025.10963197openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/icsai61474.2023.10423340openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/ieeeconf52377.2022.10013099openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191604openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191836openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/iseae69422.2026.11545165openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/iv51561.2020.00051openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/mlnlp63328.2024.10800129openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/rivf55975.2022.10013819openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/s.a.i.ence50533.2020.9303192openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/smc54092.2024.10831350openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/ssci50451.2021.9660108openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/taffc.2022.3204972openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/taffc.2022.3205358openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/taslp.2022.3153254openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tbdata.2025.3566576openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tim.2023.3329163openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tkde.2021.3101237openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tkde.2022.3147455openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tkde.2022.3177226openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tkde.2023.3240851openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tnnls.2023.3278938openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tnnls.2024.3365858openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/exsy.70149openalex-snapshot

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inferred← citeshttps://doi.org/10.1117/12.2631869openalex-snapshot

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inferred← citeshttps://doi.org/10.1117/12.2667207openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3340531.3411858openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3340531.3412153openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3447548.3467438openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3459637.3482268openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3459637.3482280openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3510030openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3511808.3557323openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3511808.3557422openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3539618.3591748openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3539618.3591912openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3618295openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3678890.3678906openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3698876openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3774420openalex-snapshot

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inferred← citeshttps://doi.org/10.1155/2023/1186977openalex-snapshot

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inferred← citeshttps://doi.org/10.1162/dint_a_00144openalex-snapshot

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inferred← citeshttps://doi.org/10.1162/dint_a_00190openalex-snapshot

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inferred← citeshttps://doi.org/10.1162/tacl_a_00360openalex-snapshot

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inferred← citeshttps://doi.org/10.1162/tacl_a_00392openalex-snapshot

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inferred← citeshttps://doi.org/10.1371/journal.pone.0286915openalex-snapshot

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inferred← citeshttps://doi.org/10.1609/aaai.v35i15.17639openalex-snapshot

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inferred← citeshttps://doi.org/10.1609/aaai.v36i10.21417openalex-snapshot

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inferred← citeshttps://doi.org/10.1609/aaai.v38i17.29823openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2020.aacl-main.75openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2020.coling-main.124openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2020.coling-main.140openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2020.coling-main.142openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2020.coling-main.510openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2020.emnlp-main.298openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2021.acl-long.447openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2021.acl-short.124openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2021.eacl-srw.18openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2021.emnlp-main.136openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2021.emnlp-main.204openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2021.emnlp-main.212openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2021.emnlp-main.221openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2021.emnlp-main.433openalex-snapshot

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inferred← citeshttps://doi.org/10.18653/v1/2021.emnlp-main.469openalex-snapshot

Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP

inferred← citeshttps://doi.org/10.18653/v1/2021.emnlp-main.572openalex-snapshot

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP

inferred← citeshttps://doi.org/10.18653/v1/2021.emnlp-main.94openalex-snapshot

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation

inferred← citeshttps://doi.org/10.18653/v1/2021.findings-acl.249openalex-snapshot

HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications

inferred← citeshttps://doi.org/10.18653/v1/2021.findings-acl.282openalex-snapshot

Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling

inferred← citeshttps://doi.org/10.18653/v1/2021.findings-emnlp.138openalex-snapshot

ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection

inferred← citeshttps://doi.org/10.18653/v1/2021.metanlp-1openalex-snapshot

Proceedings of the 1st Workshop on Meta Learning and Its Applications to Natural Language Processing

inferred← citeshttps://doi.org/10.18653/v1/2021.metanlp-1.9openalex-snapshot

Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories

inferred← citeshttps://doi.org/10.18653/v1/2021.naacl-main.142openalex-snapshot

Non-Parametric Few-Shot Learning for Word Sense Disambiguation

inferred← citeshttps://doi.org/10.18653/v1/2021.naacl-main.272openalex-snapshot

ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning

inferred← citeshttps://doi.org/10.18653/v1/2021.naacl-main.283openalex-snapshot

X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering

inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.397openalex-snapshot

Pre-training to Match for Unified Low-shot Relation Extraction

inferred← citeshttps://doi.org/10.18653/v1/2022.acl-short.57openalex-snapshot

A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models

inferred← citeshttps://doi.org/10.18653/v1/2022.acl-srw.7openalex-snapshot

What Do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification

inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.471openalex-snapshot

Better Few-Shot Relation Extraction with Label Prompt Dropout

inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.477openalex-snapshot

UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction

inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.5openalex-snapshot

Graph-based Model Generation for Few-Shot Relation Extraction

inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.580openalex-snapshot

Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction

inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.797openalex-snapshot

Fixing Model Bugs with Natural Language Patches

inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.87openalex-snapshot

Prompt-Based Meta-Learning For Few-shot Text Classification

inferred← citeshttps://doi.org/10.18653/v1/2022.findings-acl.24openalex-snapshot

Meta-XNLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation

inferred← citeshttps://doi.org/10.18653/v1/2022.findings-acl.62openalex-snapshot

A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction

inferred← citeshttps://doi.org/10.18653/v1/2022.findings-acl.67openalex-snapshot

DeepStruct: Pretraining of Language Models for Structure Prediction

inferred← citeshttps://doi.org/10.18653/v1/2022.findings-emnlp.263openalex-snapshot

CrossRE: A Cross-Domain Dataset for Relation Extraction

inferred← citeshttps://doi.org/10.18653/v1/2022.findings-emnlp.383openalex-snapshot

Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering

inferred← citeshttps://doi.org/10.18653/v1/2022.findings-naacl.139openalex-snapshot

Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation Extraction

inferred← citeshttps://doi.org/10.18653/v1/2022.findings-naacl.34openalex-snapshot

Improving Few-Shot Relation Classification by Prototypical Representation Learning with Definition Text

inferred← citeshttps://doi.org/10.18653/v1/2022.naacl-main.421openalex-snapshot

Few-Shot Document-Level Relation Extraction

inferred← citeshttps://doi.org/10.18653/v1/2022.naacl-main.49openalex-snapshot

Meta Learning for Natural Language Processing: A Survey

inferred← citeshttps://doi.org/10.18653/v1/2023.acl-demo.34openalex-snapshot

Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction

inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.525openalex-snapshot

Open Set Relation Extraction via Unknown-Aware Training

inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.594openalex-snapshot

Plug-and-Play Knowledge Injection for Pre-trained Language Models

inferred← citeshttps://doi.org/10.18653/v1/2023.bigpicture-1.7openalex-snapshot

Towards Low-resource Language Generation with Limited Supervision

inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.381openalex-snapshot

HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction

inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.433openalex-snapshot

Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning

inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.647openalex-snapshot

Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations

inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.722openalex-snapshot

CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation.

inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.858openalex-snapshot

ClusterLLM: Large Language Models as a Guide for Text Clustering

inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.880openalex-snapshot

Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting

inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.436openalex-snapshot

Silver Syntax Pre-training for Cross-Domain Relation Extraction

inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.50openalex-snapshot

Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors

inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.804openalex-snapshot

Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction

inferred← citeshttps://doi.org/10.18653/v1/2023.findings-eacl.171openalex-snapshot

ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification

inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.153openalex-snapshot

Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction

inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.162openalex-snapshot

Density-Aware Prototypical Network for Few-Shot Relation Classification

inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.211openalex-snapshot

Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning

inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.707openalex-snapshot

Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction

inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.718openalex-snapshot

Image and Text: Fighting the same Battle? Super Resolution Learning for Imbalanced Text Classification

inferred← citeshttps://doi.org/10.18653/v1/2023.repl4nlp-1.16openalex-snapshot

Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates

inferred← citeshttps://doi.org/10.21203/rs.3.rs-1711263/v1openalex-snapshot

TransPrompt v2: Transferable Prompt-based Fine-tuning for Few-shot Text Classification

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3197671/v1openalex-snapshot

MGSI：A few-shot relation extraction model based on multi-granularity semantic interaction

inferred← citeshttps://doi.org/10.21203/rs.3.rs-8872718/v1openalex-snapshot

Confidence-Aware Dual-Graph Calibration for Noise-Robust Relation Extraction in Low-Resource Scenarios

inferred← citeshttps://doi.org/10.2139/ssrn.5251204openalex-snapshot

Few-Shot Open Relation Extraction with Gaussian Prototype and Adaptive Margin

inferred← citeshttps://doi.org/10.2196/25670openalex-snapshot

Construction of Genealogical Knowledge Graphs From Obituaries: Multitask Neural Network Extraction System

inferred← citeshttps://doi.org/10.2196/41100openalex-snapshot

Supervised Relation Extraction Between Suicide-Related Entities and Drugs: Development and Usability Study of an Annotated PubMed Corpus

inferred← citeshttps://doi.org/10.23919/apsipaasc55919.2022.9979971openalex-snapshot

Semantics-Guided Knowledge Integration for Domain Adaptation Few-shot Relation Extraction

inferred← citeshttps://doi.org/10.24963/ijcai.2022/407openalex-snapshot

Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation Classification

inferred← citeshttps://doi.org/10.26615/978-954-452-072-4_115openalex-snapshot

A Hierarchical Entity Graph Convolutional Network for Relation Extraction across Documents

inferred← citeshttps://doi.org/10.3233/faia230424openalex-snapshot

BMIPN: A Biased Multi-Granularity Interaction Prototype Network for Few-Shot Relation Extraction

inferred← citeshttps://doi.org/10.3390/ai7060225openalex-snapshot

RoRED: A Romanian Relation Extraction Dataset

inferred← citeshttps://doi.org/10.3390/app112412060openalex-snapshot

Few-Shot Relation Extraction on Ancient Chinese Documents

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