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Emotion Recognition in Conversation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 16
보존된 평가 기록: 227

Given the transcript of a conversation along with speaker information of each constituent utterance, the ERC task aims to identify the emotion of each utterance from several pre-defined emotions. Formally, given the input sequence of N number of utterances [(u1, p1), (u2, p2), . . . , (uN , pN )], where each utterance ui = [ui,1, ui,2, . . . , ui,T ] consists of T words ui,j and spoken by party pi, the task is to predict the emotion label ei of each utterance ui. .

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/diegoschapira/CNN-Text-Classifier-using-Keras

Convolutional Neural Networks for Sentence Classification

https://github.com/dispink/xpt

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/divisionai/fastText

Bag of Tricks for Efficient Text Classification

https://github.com/djl11/mxnet-fid

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

https://github.com/dmlc/gluon-nlp

Convolutional Neural Networks for Sentence Classification

https://github.com/donghyeonk/fastText1607

Bag of Tricks for Efficient Text Classification

https://github.com/dongjun-Lee/text-classification-models-tf

Convolutional Neural Networks for Sentence Classification

https://github.com/dreamgonfly/BERT-pytorch

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/duyunshu/bert-sentiment-analysis

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/dzq84/MusicScore-script

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

https://github.com/dzqjorking/transpose

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/eagle705/bert

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/eaishwa/quora-ques-pair-similarity

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/elenalenaelena/machine-learning-viz

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/enod/arxiv-nlp-notes

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/epcpu/deep-nlp-links

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/epfml/collaborative-attention

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/ericperfect/Bert_Position_BiLSTM_Attention_CRF_LSTMDecoder

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/ericxsun/fastText

Bag of Tricks for Efficient Text Classification

https://github.com/eunseo1092/Graduation_project

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/evtaktasheva/dependency_extraction

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/explosion/floret

Bag of Tricks for Efficient Text Classification

https://github.com/fabiocorreacordeiro/Elsevier_abstracts-Classification

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/facebookresearch/anli

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/facebookresearch/pytext

Convolutional Neural Networks for Sentence Classification

https://github.com/faizansuhail89/bert

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/fanchenyou/transformer-study

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/fancyerii/bert

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/fangrouli/Document-embedding-generation-models

Convolutional Neural Networks for Sentence Classification

https://github.com/fciannel/bert_fciannel

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/feiyuchen7/M3NET

https://github.com/fikratgasimov/Generative_Adversial

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

https://github.com/flxst/nerblackbox

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/flyliu2017/bert

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/flyliu2017/bert_modularized

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/fpcsong/emotionflow

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.