relation-classification

There are 9 repositories under relation-classification topic.

• roomylee / awesome-relation-extraction

  📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

  awesomerelation-extractionrelation-classificationdistant-supervisiondeep-learningnatural-language-processingnlppapermachine-learningsemeval-2010new-york-timesstate-of-the-artaclemnlpnaaclaaainipstrends
  1157
• R-BERT

  monologg / R-BERT

  Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"

  bertrelation-extractionbert-relation-extractionpytorchrelationrelation-bertrelation-classification
  Language:Python 335
• Relation-Classification-using-Bidirectional-LSTM-Tree

  Sshanu / Relation-Classification-using-Bidirectional-LSTM-Tree

  TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

  relation-extractionrelation-classificationdependency-treetensorflowword-embeddinglstmbidirectional-lstmlstm-treetreesemevallcadeep-learninglstm-networkstree-structureneural-networkentities
  Language:Jupyter Notebook 183

• dgai91 / pytorch-acnn-model

  code of Relation Classification via Multi-Level Attention CNNs

  relation-extractionnlppytorchacnnrelation-classificationattention-model
  Language:Python 177

• xuyanfu / TensorFlow_RLRE

  Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

  reinforcement-learningrelation-classificationrelation-extraction
  Language:Python 155

• lonePatient / TorchBlocks

  A PyTorch-based toolkit for natural language processing

  pytorchnlptext-classificationtriplet-losssiamese-networktext-similaritymultilabel-classificationadvertisingberttransformersrelation-classificationnamed-entity-recognition
  Language:Python 148

• pkuserc / ChatGPT_for_IE

  Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness

  calibrationchatgptentity-typingevaluationevent-detectionevent-extractionexplainabilityinformation-extractionnamed-entity-recognitionperformancerelation-classificationrelation-extractionfaithfulnesslarge-language-models
  Language:Python 133

• FreedomIntelligence / Evaluation-of-ChatGPT-on-Information-Extraction

  An Evaluation of ChatGPT on Information Extraction task, including Named Entity Recognition (NER), Relation Extraction (RE), Event Extraction (EE) and Aspect-based Sentiment Analysis (ABSA).

  chatgpterror-typesevaluationevaluation-criteriaevent-detectionevent-extractioninformation-extractionnamed-entity-recognitionperformancerelation-classificationrelation-extractionrobustnesssentiment-analysis
  Language:Python 105

• ArneBinder / pytorch-ie

  PyTorch-IE: State-of-the-art Information Extraction in PyTorch

  datasetsinformation-extractionnamed-entity-recognitionpytorchpytorch-lightningrelation-classificationrelation-extractiontransformers
  Language:Python 65

• mickeysjm / R-BERT

  Pytorch re-implementation of R-BERT model

  bert-modelpytorchrelation-classificationrelation-extractionsemeval-2010tacred
  Language:Python 65

• roomylee / rcnn-relation-extraction

  Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

  convolutional-neural-networksrcnnrecurrent-neural-networksrelation-classificationrelation-extractionsemeval-2010tensorflow
  Language:Python 65

• ZhixiuYe / MLMAN

  ACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

  few-shot-learningnlppytorchrelation-classificationsentence-match
  Language:Python 60

• sahitya0000 / Relation-Classification

  Relation Classification - SEMEVAL 2010 task 8 dataset

  machine-learningnatural-language-processingrelation-extractionrelation-classificationpythonkerasipython-notebooksemevalsemeval-2010classificationtext-classificationcnngru
  Language:Jupyter Notebook 55

• lemonhu / RE-CNN-pytorch

  PyTorch implementation of relation extraction via convolutional neural network with multi-size convolution kernels.

  cnnconvolutional-neural-networksinformation-extractionmulti-size-kernelpaper-implementationspytorchrelation-classificationrelation-extraction
  Language:Python 45

• Freeshman / LAnn

  This is a little Annotator tool using browser；这是一个基于浏览器运行的中文三元组（命名实体识别和关系分类）联合标注工具

  annotatornerrelation-classificationrelation-extractiontriplevim
  Language:HTML 30

• DongPoLI / EC-BERT

  Relation Classificaton based on information enhanced BERT

  bertrelation-extractionbert-relation-extractionpytorchrelation-classificationr-bertec-bert
  Language:Python 25

• naiveHobo / HoboNet

  Convolution Neural Network for classification of semantic relations in a sentence

  relation-classificationnatural-language-processingnatural-language-understandingsentence-classificationword2vecembeddings-word2vecsemevalsemeval-2018semeval2014
  Language:Python 18

• DongPoLI / Mul-BERT

  mul-BERT, the official score on the SemEval 2010 Task 8 dataset is up to 90.72 (Macro-F1).

  bertmul-bertr-bertrelation-classificationrelation-extraction
  Language:Python 15
• awesome-sentiment-attitude-extraction

  nicolay-r / awesome-sentiment-attitude-extraction

  A curated list of awesome sentiment analysis studies, in which attitude corresponds to the text position conveyed by Subject towards other Object mentioned in text such as: entities, events, etc.

  nlpmachine-learningnatural-language-processingnipstrendsrelation-classificationstate-of-the-artlanguage-modelsentiment-analysissentiment-attitude-extractionawesome-listaaaiemnlpdeep-learningawesomenaacllow-resource-nlpchatgptstance-detection
  15

• catcd / MASS

  Large-scale Exploration of Neural Relation Classification Architectures

  relation-extractionrelation-classificationsemeval-2010convolutional-neural-networkslong-short-term-memoryconvolutional-neural-networkrecurrent-neural-networksddibiocreative-vbb3phenebankscienceiecdrcdr-trackschemical-induced-diseasebiomedical
  Language:Python 11

• ChristophAlt / fewrel

  Few-Shot Relation Extraction with AllenNLP

  few-shot-learningrelation-classificationrelation-extractionallennlpfewrel
  Language:Python 11

• catcd / RbSP

  A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction

  cnnlstmattentionattention-mechanismkernel-filtersrelation-extractionrelation-classificationdependency-treeshortest-dependency-pathdependency-pathsdptensorflow
  Language:Python 10

• Heidelberg-NLP / CO-NNECT

  This repository contains our path generation framework Co-NNECT, in which we combine two models for establishing knowledge relations and paths between concepts from sentences, as a form of explicitation of implicit knowledge: COREC-LM (COmmonsense knowledge RElation Classification using Language Models), a relation classification system that we developed for classifying commonsense knowledge relations; and COMET, a target prediction system developed by Bosselut et al., 2019.

  language-modelconceptnettarget-predictionrelation-classificationcommonsense-knowledgeknowledge-pathspath-generation
  Language:Python 9

• luoyuanlab / seg_gcn

  Segment graph convolutional neural network for relation classification. Paper in JAMIA.

  deep-learninggraph-convolutional-networksnlprelation-classification
  Language:Python 9

• DFKI-NLP / MultiTACRED

  [ACL23] This repository contains the code for our paper "MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset"

  information-extractionmachine-learningmultilingualnlprelation-classificationtransformer
  Language:Python 7

• HongLin1997 / ace05-data-prep

  ACE 2005 Corpus Preprocessing (tips for how to run mgormley/ace-data-prep)

  ace2005relation-extractionrelation-classificationjavamavenmaven-pomstanford-corenlpdata-processingmakefile
  Language:Makefile 6

• HongLin1997 / OpenKG-for-Game-of-Thrones

  A python project for creating an openKG for Game of Thrones.

  openkggame-of-thronespythonnamed-entity-recognitionrelation-extractionrelation-classification
  Language:HTML 6

• SisonkeBiotik-Africa / MeSH2Matrix

  A set of Python codes for the classification of biomedical relations based on the MeSH keywords of PubMed scholarly publications

  biomedical-data-sciencedatasetdeep-learningmachine-learningontology-engineeringrelation-classification
  Language:Jupyter Notebook 6

• FireBrother / Unified-Architecture-for-Semantic-Role-Labeling-and-Relation-Classification

  An implementation of the paper A Unified Architecture for Semantic Role Labeling and Relation Classification

  relation-classificationsemantic-role-labelingnlp
  Language:Python 5

• luoyuanlab / seg_cnn

  Segment CNN for relation classification. Paper in JAMIA.

  deep-learningconvolutional-neural-networksnlprelation-classification
  Language:Python 5

• Molin-L / RLRC

  Reinforcement Learning for Relation Classification from Noisy Data. Pytorch Implement

  relation-classification
  Language:Jupyter Notebook 5

• TobiasLee / DeftEval2020

  DeftEval 2020: Definition extraction Challenge

  deftevalrelation-classificationrobertasequence-labeling
  Language:Python 5

• Asfalas / relation_classification

  Relation Extraction: BERT vs BiLSTM

  pytorchrelation-classificationrelation-extraction
  Language:Python 4

• A-baoYang / NLP-techniques-chinese

  For learning. Collecting techniques of each step from knowledge graph building processes.

  chineseclassificationdocsknowledge-graphnatural-language-processingnernlprelation-classificationtext-labeling
  Language:Jupyter Notebook 3

• kracr / Temporal-Causal-Relation-Classification

  The aim of the project is to perform joint classification of temporal and causal relations between two events that appear in text. We built an LSTM model that makes use of the POS tags and dependency structures in the text to classify temporal and causal relations.

  causal-relationslstm-neural-networkrelation-classificationtemporal-relations
  Language:Jupyter Notebook 2

• maria-becker / CO-NNECT

  This repository contains our path generation framework Co-NNECT, in which we combine two models for establishing knowledge relations and paths between concepts from sentences, as a form of explicitation of implicit knowledge: COREC-LM (COmmonsense knowledge RElation Classification using Language Models), a relation classification system that we developed for classifying commonsense knowledge relations; and COMET, a target prediction system developed by Bosselut et al., 2019.

  knowledge-pathsconceptnetcommonsense-knowledgepath-generationrelation-classificationtarget-predictionlanguage-models
  Language:Python 2