SOTAVerified

Relation Classification

Relation Classification is the task of identifying the semantic relation holding between two nominal entities in text.

Source: Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text

Papers

Showing 26–50 of 445 papers

TitleStatusHype
Document-Level Relation Extraction with ReconstructionCode1
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity LinkingCode1
Selecting Optimal Context Sentences for Event-Event Relation ExtractionCode1
Semi-supervised Relation Extraction via Incremental Meta Self-TrainingCode1
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task LearningCode1
From Examples to Rules: Neural Guided Rule Synthesis for Information ExtractionCode1
Argumentative Link Prediction using Residual Networks and Multi-Objective LearningCode1
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
Few-shot Text Classification with Distributional SignaturesCode1
Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual AwarenessCode1
Generative Prompt Tuning for Relation ClassificationCode1
Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge BasesCode1
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and SystemCode1
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attentionCode1
Matching the Blanks: Distributional Similarity for Relation LearningCode1
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity RecognitionCode1
CreoleVal: Multilingual Multitask Benchmarks for CreolesCode1
RankDNN: Learning to Rank for Few-shot LearningCode1
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic DialoguesCode1
DeepStruct: Pretraining of Language Models for Structure PredictionCode1
Dependency-driven Relation Extraction with Attentive Graph Convolutional NetworksCode1
DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction DatasetCode1
Rationale-Enhanced Language Models are Better Continual Relation LearnersCode1
AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classificationCode1
The RELX Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation ClassificationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepEx (zero-shot top-10)F176.4—Unverified
2DeepStruct multi-taskF174.9—Unverified
3LUKE 483MF172.7—Unverified
4K-AdapterF172—Unverified
5KnowBERTF171.5—Unverified
6MTB Baldini Soares et al. (2019)F171.5—Unverified
7RoBERTaF171.3—Unverified
8SpanBERTF170.8—Unverified
9ERNIEF168—Unverified
10ERNIEF167.97—Unverified
#ModelMetricClaimedVerifiedStatus
1BRCNNF186.3—Unverified
2DRNNsF186.1—Unverified
3depLCNN + NSF185.6—Unverified
4SDP-LSTMF183.7—Unverified
5DepNNF183.6—Unverified
6MVRNNF182.4—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF1 (10-way 1-shot)97.8—Unverified
2DeepEx (zero-shot top-10)F192.9—Unverified
3DeepStruct multi-taskF1 (10-way 1-shot)92.2—Unverified
4Deepstruct zero-shotF1 (10-way 1-shot)67.6—Unverified
5DeepEx (zero-shot top-1)F148.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F170.92—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F142.95—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT1:1 Accuracy20.6—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F137.72—Unverified
#ModelMetricClaimedVerifiedStatus
1SCS-EEREF10.83—Unverified