Papers with Code 아카이브

Author Profiling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 0
평가표: 0
보존된 평가 기록: 0

Author profiling is the analysis of a given set of texts in an attempt to uncover various characteristics of the author based on stylistic- and content-based features, or to identify the author. Characteristics analysed commonly include age and gender, though more recent studies have looked at other characteristics, like personality traits and occupation.

Author profiling is one of the three major fields in automatic authorship identification (AAI), the other two being authorship attribution and authorship identification.

코드

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

Author Profiling

코드

https://github.com/facebookresearch/pytext

https://github.com/hantek/SelfAttentiveSentEmbed

https://github.com/jadore801120/attention-is-all-you-need-pytorch

https://github.com/jingyuanz/keras-self-attention-layer

https://github.com/kalaivani-s/self-attentive-sent-emb

https://github.com/kaushalshetty/Structured-Self-Attention

https://github.com/kenkenling/NLP

https://github.com/laohur/LearnToCompareText

https://github.com/laohur/RelationNet

https://github.com/leejieun51/transformer

https://github.com/liqichen6688/duo-attention

https://github.com/natel9178/transformer-refork

https://github.com/paddorch/SelfAttnSent.paddle

https://github.com/prakashpandey9/Text-Classification-Pytorch

https://github.com/roomylee/self-attentive-emb-tf

https://github.com/shijx12/AR-Tree

https://github.com/simonjisu/nsmc_study

https://github.com/text-machine-lab/transformerpy

https://github.com/warnikchow/coaudiotext

https://github.com/willzli/bilstm_selfattention

https://github.com/xalanq/chinese-sentiment-classification

https://github.com/yanqi1811/attention-is-all-you-need

https://github.com/yueyongjiao/Transformer-Contextual

https://github.com/yueyongjiao/attention_is_all_you_need_pytorch

https://github.com/yuriak/PPDAI

https://github.com/yyfsXZ/structured_self_attention_sent_embedding

https://github.com/zhangbo2008/best_pytorch_transformer