Emerging_NLP / label_dict.txt
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{'Sign Language and Fingerspelling Recognition': ['sign language and fingerspelling recognition'],
'Rule-based MT (RBMT)': ['rule-based machine translation'],
'Transformer Models': ['transformer models'],
'Recurrent Neural Networks (RNNs)': ['recurrent neural networks'],
'Large Language Models (LLMs)': ['large language models'],
'Bilingual Lexicon Induction (BLI)': ['bilingual lexicon induction'],
'Hate and Offensive Speech Detection': ['hate and offensive speech detection'],
'Email Spam and Phishing Detection': ['email spam and phishing detection'],
'Fake News Detection': ['fake news detection'],
'Fake Review Detection': ['fake review detection'],
'Aspect-Based Sentiment Analysis (ABSA)': ['aspect-based sentiment analysis'],
'Dialogue State Tracking (DST)': ['dialogue state tracking'],
'Visual QA (VQA)': ['visual question answering'],
'Open-Domain QA': ['open-domain question answering'],
'Multiple Choice QA (MCQA)': ['multiple choice question answering'],
'NLP for Social Media': ['natural language processing for social media'],
'NLP for the Legal Domain': ['natural language processing for the legal domain'],
'Prompt Engineering': ['prompt engineering'],
'Acronyms and Abbreviations Detection and Expansion': ['acronyms and abbreviations detection and expansion'],
'Paraphrase and Rephrase Generation': ['paraphrase and rephrase generation'],
'NER for Nested Entities': ['named entity recognition for nested entities']
}