Relation Classification
142 papers with code • 8 benchmarks • 23 datasets
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
Benchmarks
These leaderboards are used to track progress in Relation Classification
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TACRED
FewRel
FewRel 2.0
Discovery
GUM
LabPics
Subtasks
Most implemented papers
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
The relation of each sentence is first recognized by distant supervision methods, and then filtered by crowdworkers.
Argumentative Link Prediction using Residual Networks and Multi-Objective Learning
AGalassi/StructurePrediction18
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WS 2018
We explore the use of residual networks for argumentation mining, with an emphasis on link prediction.
Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning
Common-sense argumentative reasoning is a challenging task that requires holistic understanding of the argumentation where external knowledge about the world is hypothesized to play a key role.
End-to-end neural relation extraction using deep biaffine attention
We propose a neural network model for joint extraction of named entities and relations between them, without any hand-crafted features.
Mining Discourse Markers for Unsupervised Sentence Representation Learning
Current state of the art systems in NLP heavily rely on manually annotated datasets, which are expensive to construct.
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
This paper presents a multi-level matching and aggregation network (MLMAN) for few-shot relation classification.
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
Distantly supervised relation extraction is widely used to extract relational facts from text, but suffers from noisy labels.
Collocation Classification with Unsupervised Relation Vectors
Lexical relation classification is the task of predicting whether a certain relation holds between a given pair of words.
Zero-shot transfer for implicit discourse relation classification
MurathanKurfali/multilingual_IDRC
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Automatically classifying the relation between sentences in a discourse is a challenging task, in particular when there is no overt expression of the relation.
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text
genggui001/fine_tuning_bert_for_joint_entity_and_relation_extraction_in_chinese_medical_text
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Entity and relation extraction is the necessary step in structuring medical text.
