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 326350 of 445 papers

TitleStatusHype
SEE: Syntax-aware Entity Embedding for Neural Relation Extraction0
False Positive and Cross-relation Signals in Distant Supervision DataCode0
Structure Regularized Bidirectional Recurrent Convolutional Neural Network for Relation Classification0
Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification0
Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks0
Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging0
Think Globally, Embed Locally --- Locally Linear Meta-embedding of WordsCode0
Exploring Vector Spaces for Semantic Relations0
Argument Relation Classification Using a Joint Inference Model0
Inter-Weighted Alignment Network for Sentence Pair Modeling0
Recognizing Reputation Defence Strategies in Critical Political Exchanges0
What matters in a transferable neural network model for relation classification in the biomedical domain?0
Extracting Drug-Drug Interactions with Attention CNNs0
A non-DNN Feature Engineering Approach to Dependency Parsing -- FBAML at CoNLL 2017 Shared Task0
Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention0
TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers0
Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text0
LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network0
Combining Word-Level and Character-Level Representations for Relation Classification of Informal Text0
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification0
A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events0
Composing Distributed Representations of Relational PatternsCode0
Multiple Range-Restricted Bidirectional Gated Recurrent Units with Attention for Relation Classification0
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths0
Classifying Lexical-semantic Relationships by Exploiting Sense/Concept Representations0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepEx (zero-shot top-10)F176.4Unverified
2DeepStruct multi-taskF174.9Unverified
3LUKE 483MF172.7Unverified
4K-AdapterF172Unverified
5KnowBERTF171.5Unverified
6MTB Baldini Soares et al. (2019)F171.5Unverified
7RoBERTaF171.3Unverified
8SpanBERTF170.8Unverified
9ERNIEF168Unverified
10ERNIEF167.97Unverified
#ModelMetricClaimedVerifiedStatus
1BRCNNF186.3Unverified
2DRNNsF186.1Unverified
3depLCNN + NSF185.6Unverified
4SDP-LSTMF183.7Unverified
5DepNNF183.6Unverified
6MVRNNF182.4Unverified
#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-task w/ finetuneF1 (10-way 1-shot)97.8Unverified
2DeepEx (zero-shot top-10)F192.9Unverified
3DeepStruct multi-taskF1 (10-way 1-shot)92.2Unverified
4Deepstruct zero-shotF1 (10-way 1-shot)67.6Unverified
5DeepEx (zero-shot top-1)F148.8Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F170.92Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F142.95Unverified
#ModelMetricClaimedVerifiedStatus
1BERT1:1 Accuracy20.6Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttArgMacro F137.72Unverified
#ModelMetricClaimedVerifiedStatus
1SCS-EEREF10.83Unverified