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Lexical Simplification

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The goal of Lexical Simplification is to replace complex words (typically words that are used less often in language and are therefore less familiar to readers) with their simpler synonyms, without infringing the grammaticality and changing the meaning of the text.

Source: Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization

코드

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

https://github.com/brightmart/roberta_zh

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https://github.com/clovaai/textual-kd-slu

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RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/devhemza/BERTweet_sentiment_analysis

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/dig-team/hanna-benchmark-asg

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https://github.com/duanchi1230/NLP_Project_AI2_Reasoning_Challenge

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https://github.com/eternityyw/tram-benchmark

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https://github.com/expertailab/spaceqa

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https://github.com/facebookresearch/anli

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https://github.com/hkuds/easyrec

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https://github.com/huggingface/transformers

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https://github.com/ibm/vira-intent-discovery

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/jvladika/Lexical-Substitution

Lexical Simplification with Pretrained Encoders

https://github.com/kaushaltrivedi/fast-bert

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/knuddj1/op_text

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/knuddy/op_text

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/lashoun/hanna-benchmark-asg

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https://github.com/luxinyu1/Chinese-LS

Chinese Lexical Simplification

https://github.com/lvyufeng/bert4ms

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/merchantfatema/deep-learning-synonym

Lexical Simplification with Pretrained Encoders

https://github.com/mthcom/hscore-dataset-pruning

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/musixmatchresearch/umberto

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/nguyenvulebinh/vietnamese-roberta

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https://github.com/obi-ml-public/ehr_deidentification

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https://github.com/octanove/shiba

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https://github.com/oneflow-inc/libai

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/pisalore/roberta_results

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/pwc-1/Paper-9/tree/main/5/xlm_roberta

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https://github.com/ricaelum42/Contextual-Twitter-Sarcasm-Detection

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https://github.com/salesforce/codet5

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/sdadas/polish-roberta

RoBERTa: A Robustly Optimized BERT Pretraining Approach

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/tighu20/Kaggle-Tweet-Sentiment-Extraction

RoBERTa: A Robustly Optimized BERT Pretraining Approach

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