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 301–350 of 445 papers

TitleStatusHype
Improving Scientific Relation Classification with Task Specific Supersense—0
Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives—0
Improving Vision-and-Language Reasoning via Spatial Relations Modeling—0
Improving Zero-shot Relation Classification via Automatically-acquired Entailment Templates—0
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning—0
Inducing Latent Semantic Relations for Structured Distributional Semantics—0
Inter-Weighted Alignment Network for Sentence Pair Modeling—0
Investigation of annotator's behaviour using eye-tracking data—0
Investigation of BERT Model on Biomedical Relation Extraction Based on Revised Fine-tuning Mechanism—0
IRCMS at SemEval-2018 Task 7 : Evaluating a basic CNN Method and Traditional Pipeline Method for Relation Classification—0
Joint Extraction of Entity and Relation with Information Redundancy Elimination—0
Jointly Extracting Multiple Triplets with Multilayer Translation Constraints—0
Joint Representation Learning of Text and Knowledge for Knowledge Graph Completion—0
Joint Type Inference on Entities and Relations via Graph Convolutional Networks—0
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification—0
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness—0
KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery—0
LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network—0
LabelPrompt: Effective Prompt-based Learning for Relation Classification—0
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features—0
Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text—0
Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training—0
Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification—0
Learning to Relate from Captions and Bounding Boxes—0
Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks—0
Let's be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction—0
Let’s be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction—0
LightRel at SemEval-2018 Task 7: Lightweight and Fast Relation Classification—0
LightRel SemEval-2018 Task 7: Lightweight and Fast Relation Classification—0
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation—0
Local and Global Graph Modeling with Edge-weighted Graph Attention Network for Handwritten Mathematical Expression Recognition—0
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification—0
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain—0
Meta-Learning for Neural Relation Classification with Distant Supervision—0
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data—0
MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network—0
Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision—0
Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction—0
MPDD: A Multi-Party Dialogue Dataset for Analysis of Emotions and Interpersonal Relationships—0
MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity—0
Multilevel Heuristics for Rationale-Based Entity Relation Classification in Sentences—0
Multimodal Relational Triple Extraction with Query-based Entity Object Transformer—0
Multi-Perspective Document Revision—0
Multiple Range-Restricted Bidirectional Gated Recurrent Units with Attention for Relation Classification—0
Neural Network Models for Implicit Discourse Relation Classification in English and Chinese without Surface Features—0
Neural Relation Classification with Text Descriptions—0
Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning—0
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art EvaluationCode0
FewRel 2.0: Towards More Challenging Few-Shot Relation ClassificationCode0
Comparative Analysis of AI Agent Architectures for Entity Relationship ClassificationCode0
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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