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Text Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 16
평가표: 101
보존된 평가 기록: 341

Text Classification is the task of assigning a sentence or document an appropriate category. The categories depend on the chosen dataset and can range from topics.

Text Classification problems include emotion classification, news classification, citation intent classification, among others. Benchmark datasets for evaluating text classification capabilities include GLUE, AGNews, among others.

In recent years, deep learning techniques like XLNet and RoBERTa have attained some of the biggest performance jumps for text classification problems.

<span style="color:grey; opacity: 0.6">( Image credit: Text Classification Algorithms: A Survey )</span>

코드

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

Text Classification

코드

https://github.com/simon-benigeri/narrative-generation

https://github.com/singaln/Roformer_Simlarity

https://github.com/sinhasam/Sentalyze

https://github.com/siramatu/brigade-visualizer

https://github.com/sirius8050/Expected-Calibration-Error

https://github.com/sjmiller8182/character-convolutions-classification

https://github.com/skesiraju/BaySMM

https://github.com/skoltech-nlp/rudetoxifier

https://github.com/skyve2012/DBA

https://github.com/sleep3r/garrus

https://github.com/slme1109/Lyrics_Generator_Using_LSTM

https://github.com/slme1109/lyrics-generator

https://github.com/smalik169/recursive-convolutional-autoencoder

https://github.com/smarton-empower/smarton-ai

https://github.com/snowkylin/gnn

https://github.com/snownus/COOP

https://github.com/sntcristian/and-kge

https://github.com/soarsmu/BiasFinder

https://github.com/socc-io/piqaboo

https://github.com/softmax1/flash-attention-softmax-n

https://github.com/somiltg/bert

https://github.com/somiltg/xquad

https://github.com/sonalisrijan/Deep-Learning-based-Defect-Prediction-Model-for-Source-Code

https://github.com/sophieburkhardt/dirichlet-vae-topic-models

https://github.com/soutsios/pos-tagger-bert-tensorflow

https://github.com/spice-h2020/SON

https://github.com/spokoyny/spokoyny.github.io

https://github.com/srviest/char-cnn-text-classification-pytorch

https://github.com/sswetank-CS/MIL

https://github.com/stanford-oval/genienlp

https://github.com/stefan-it/europeana-bert

https://github.com/stefan-it/fine-tuned-berts-seq

https://github.com/stefan-it/historic-ner

https://github.com/stephenbeckr/AIMS

https://github.com/stephenbeckr/CambridgeOptimisationCourse

https://github.com/studio-ousia/wikipedia2vec