https://bitbucket.org/robvanderg/monoise
공식 코드MoNoise: Modeling Noise Using a Modular Normalization System
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Lexical normalization is the task of translating/transforming a non standard text to a standard register.
Example:
new pix comming tomoroe
new pictures coming tomorrow
Datasets usually consists of tweets, since these naturally contain a fair amount of these phenomena.
For lexical normalization, only replacements on the word-level are annotated. Some corpora include annotation for 1-N and N-1 replacements. However, word insertion/deletion and reordering is not part of the task.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
MoNoise: Modeling Noise Using a Modular Normalization System
Adapting Sequence to Sequence models for Text Normalization in Social Media
A Clustering Framework for Lexical Normalization of Roman Urdu
DaN+: Danish Nested Named Entities and Lexical Normalization
ViSoLex: An Open-Source Repository for Vietnamese Social Media Lexical Normalization
A Multi-cascaded Deep Model for Bilingual SMS Classification
Adapting Deep Learning for Sentiment Classification of Code-Switched Informal Short Text
ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media Text
User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization
ÚFAL at MultiLexNorm 2021: Improving Multilingual Lexical Normalization by Fine-tuning ByT5
MoNoise: Modeling Noise Using a Modular Normalization System
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.