https://github.com/alan-turing-institute/DUKweb
공식 코드DUKweb: Diachronic word representations from the UK Web Archive corpus
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Diachronic Word Embeddings
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dd1497/cro-diachronic-emb
공식 코드Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings
https://github.com/roccotrip/antisem
공식 코드Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914
https://github.com/sandeepsoni/semantic-leadership-network
공식 코드Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers
https://github.com/sandeepsoni/semantic-progressiveness
공식 코드Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations
https://github.com/valedica/twec
공식 코드https://github.com/wolferobert3/ml-eat
공식 코드ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science
https://github.com/Ahren09/dygetviz
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
https://github.com/MLBurnham/word_embeddings
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
https://github.com/SteffenEger/ocr_spelling_deuparl
https://github.com/albertyusun/For-the-Love-of-Greed
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
https://github.com/claws-lab/dygetviz
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
https://github.com/network-embeddings/temporal_embedding_matching
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
https://github.com/williamleif/histwords
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.