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Native Language Identification
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Native Language Identification (NLI) is the task of determining an author's native language (L1) based only on their writings in a second language (L2).
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Native Language Identification with Large Language Models
Native Language Identification with Big Bird Embeddings
Turkish Native Language Identification
Scaling Native Language Identification with Transformer Adapters
Unravelling Interlanguage Facts via Explainable Machine Learning
Topics to Avoid: Demoting Latent Confounds in Text Classification
Towards Ethical Content-Based Detection of Online Influence Campaigns
Transductive Learning with String Kernels for Cross-Domain Text Classification
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set
A Portuguese Native Language Identification Dataset
Automated essay scoring with string kernels and word embeddings
Vector Space Model as Cognitive Space for Text Classification
Can string kernels pass the test of time in Native Language Identification?
Native Language Identification on Text and Speech
Native Language Identification using Stacked Generalization
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