|
{ |
|
"name": "NLP", |
|
"children": [ |
|
{ |
|
"name": "Image and Video Processing", |
|
"children": [ |
|
{"name": "Image Captioning"}, |
|
{"name": "Video Captioning"}, |
|
{"name": "Optical Character Recognition (OCR)"}, |
|
{"name": "Sign Language and Fingerspelling Recognition"}, |
|
{"name": "Document Layout Analysis (DLA)"} |
|
] |
|
}, |
|
{ |
|
"name": "Machine Translation (MT)", |
|
"children": [ |
|
{"name": "Rule-based MT (RBMT)"}, |
|
{"name": "Statistical MT (SMT)"}, |
|
{"name": "Neural MT (NMT)"} |
|
] |
|
}, |
|
{ |
|
"name": "Learning Paradigms", |
|
"children": [ |
|
{"name": "Multimodal Learning"}, |
|
{"name": "Transfer Learning"}, |
|
{"name": "Few-shot Learning"}, |
|
{"name": "Reinforcement Learning"}, |
|
{"name": "Supervised Learning"}, |
|
{"name": "Unsupervised Learning"}, |
|
{"name": "Active Learning"}, |
|
{"name": "Adversarial Learning"} |
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] |
|
}, |
|
{ |
|
"name": "Model Architectures", |
|
"children": [ |
|
{"name": "Transformer Models"}, |
|
{ |
|
"name": "Recurrent Neural Networks (RNNs)", |
|
"children": [ |
|
{"name": "Long Short-Term Memory (LSTM) Models"} |
|
] |
|
}, |
|
{"name": "Large Language Models (LLMs)"}, |
|
{"name": "Graph Neural Networks (GNNs)"}, |
|
{"name": "Latent Dirichlet Allocation (LDA)"} |
|
] |
|
}, |
|
{ |
|
"name": "Multi-agent Communication Systems", |
|
"children": [ |
|
{"name": "Intelligent Agents"} |
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] |
|
}, |
|
{ |
|
"name": "Finite State Machines" |
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}, |
|
|
|
{ |
|
"name": "Multilingual NLP" |
|
}, |
|
|
|
{ |
|
"name": "Cross-lingual Application" |
|
}, |
|
|
|
{ |
|
"name": "Bilingual Lexicon Induction (BLI)" |
|
}, |
|
|
|
{ |
|
"name": "Low-resource Languages" |
|
}, |
|
|
|
{ |
|
"name": "Classification Applications", |
|
"children": [ |
|
{"name": "Multilabel Text Classification"}, |
|
{"name": "Hate and Offensive Speech Detection"}, |
|
{"name": "Intent Detection"}, |
|
{"name": "Email Spam and Phishing Detection"}, |
|
{"name": "Plagiarism Detection"}, |
|
{"name": "Disfluency Detection"}, |
|
{ |
|
"name": "Misinformation Detection", |
|
"children": [ |
|
{"name": "Fake News Detection"}, |
|
{"name": "Fake Review Detection"} |
|
] |
|
}, |
|
{"name": "Rumor Detection"}, |
|
{"name": "Claim Verification"}, |
|
{"name": "Emotion Detection"}, |
|
{"name": "Sarcasm Detection"}, |
|
{"name": "Humor Detection"}, |
|
{"name": "Stance Detection"}, |
|
{"name": "Personality Trait Prediction"}, |
|
{"name": "Author Detection"}, |
|
{"name": "Irony Detection"}, |
|
{ |
|
"name": "Sentiment Analysis (SA)", |
|
"children": [ |
|
{"name": "Aspect-Based SA (ABSA)"} |
|
] |
|
}, |
|
{"name": "Hope Speech Detection"} |
|
] |
|
}, |
|
{ |
|
"name": "Dialogue Systems", |
|
"children": [ |
|
{"name": "Open Domain Dialogue Systems"}, |
|
{"name": "Chatbots"}, |
|
{"name": "Dialogue State Tracking (DST)"}, |
|
{"name": "Response Generation"} |
|
] |
|
}, |
|
{ |
|
"name": "Question Answering (QA)", |
|
"children": [ |
|
{"name": "Visual QA (VQA)"}, |
|
{"name": "Open-Domain QA"}, |
|
{"name": "Multiple Choice QA (MCQA)"}, |
|
{"name": "Community QA"}, |
|
{"name": "Mathematical QA"}, |
|
{"name": "Knowledge Base QA"}, |
|
{"name": "Long Form QA"} |
|
] |
|
}, |
|
{ |
|
"name": "Domain-specific NLP", |
|
"children": [ |
|
{ |
|
"name": "Medical and Clinical NLP", |
|
"children": [ |
|
{"name": "NLP for Mental Health"}, |
|
{"name": "Biomedical NLP"} |
|
] |
|
}, |
|
{ |
|
"name": "NLP for News and Media", |
|
"children":[ |
|
{"name": "NLP for Social Media"} |
|
] |
|
}, |
|
{"name": "NLP for Climate"}, |
|
{"name": "NLP for the Legal Domain"}, |
|
{"name": "NLP for Finance"}, |
|
{"name": "NLP for Arts", |
|
"children": [ |
|
{"name": "NLP for Music"}, |
|
{"name": "NLP for Literature"} |
|
]}, |
|
{"name": "NLP for Politics"}, |
|
{"name": "NLP for Education"}, |
|
{ |
|
"name": "NLP for Bibliometrics and Scientometrics", |
|
"children": [ |
|
{"name": "Citation Analysis"} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"name": "Adversarial Attacks and Robustness", |
|
"children": [ |
|
{"name": "Backdoor Attacks"} |
|
] |
|
}, |
|
|
|
{ |
|
"name": "Commonsense Reasoning" |
|
}, |
|
{ |
|
"name": "Automated Essay Scoring" |
|
}, |
|
{ |
|
"name": "Discourse Analysis" |
|
}, |
|
{ |
|
"name": "Audio Generation and Processing", |
|
"children":[ |
|
{"name": "Automatic Speech Recognition (ASR)"}, |
|
{"name": "Speech Synthesis"} |
|
] |
|
}, |
|
{ |
|
"name": "Prompt Engineering" |
|
}, |
|
{ |
|
"name": "Authorship Verification" |
|
}, |
|
{ |
|
"name": "Acronyms and Abbreviations Detection and Expansion" |
|
}, |
|
{ |
|
"name": "Text Clustering" |
|
}, |
|
{ |
|
"name": "Topic Modeling" |
|
}, |
|
{ |
|
"name": "Evaluation Techniques" |
|
}, |
|
{ |
|
"name": "Ethics" |
|
}, |
|
|
|
|
|
{"name": "Biases in NLP", |
|
"children": [ |
|
{"name": "Gender Bias"}, |
|
{"name": "Bias Detection"} |
|
] |
|
}, |
|
{ |
|
"name": "Argument Mining" |
|
}, |
|
{ |
|
"name": "Embeddings", |
|
"children": [ |
|
{"name": "Word Embeddings"}, |
|
{"name": "Sentence Embeddings"} |
|
] |
|
}, |
|
{ |
|
"name": "Parsing", |
|
"children": [ |
|
{"name": "Discourse Parsing"}, |
|
{"name": "Semantic Parsing", |
|
"children": [ |
|
{"name": "Semantic Role Labeling"} |
|
] |
|
}, |
|
{"name": "Morphological Parsing"}, |
|
{"name": "Syntactic Parsing", |
|
"children": [ |
|
{"name": "Constituency Parsing"}, |
|
{"name": "Dependency Parsing"} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"name": "Text Preprocessing", |
|
"children": [ |
|
{"name": "Text Segmentation", |
|
"children": [ |
|
{"name": "Word Segmentation"}, |
|
{"name": "Sentence Segmentation"} |
|
] |
|
}, |
|
{"name": "Part-of-Speech (POS) Tagging"} |
|
] |
|
}, |
|
{ |
|
"name": "Text Generation", |
|
"children": [ |
|
{"name": " Text-to-SQL"}, |
|
{"name": "Story Generation", |
|
"children": [ |
|
{"name": "Narrative Plot in Storytelling"} |
|
] |
|
}, |
|
{"name": "Paraphrase and Rephrase Generation"}, |
|
{"name": "Lyrics Generation"}, |
|
{"name": "Poetry Generation"}, |
|
{"name": "Text Style Transfer"}, |
|
{"name": "Text Simplification"}, |
|
{"name": "Data-to-Text Generation", |
|
"children": [ |
|
{"name": "Table-to-Text Generation"} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"name": "Data Management and Generation", |
|
"children": [ |
|
{"name": "Data Analysis"}, |
|
{"name": "Data Preparation", |
|
"children": [ |
|
{"name": "Annotation Processes"} |
|
] |
|
}, |
|
{"name": "Data Augmentation"} |
|
] |
|
}, |
|
|
|
{ |
|
"name": "Information Retrieval", |
|
"children": [ |
|
{"name": "Information Filtering", |
|
"children":[ |
|
{"name": "Recommender Systems"} |
|
] |
|
}, |
|
{"name": "Search Engines"} |
|
] |
|
}, |
|
|
|
{ |
|
"name": "Language Change Analysis", |
|
"children": [ |
|
{"name": "Semantic Change Analysis"} |
|
] |
|
}, |
|
{ |
|
"name": "Automatic Text Summarization", |
|
"children": [ |
|
{"name": "Abstractive Text Summarization"}, |
|
{"name": "Extractive Text Summarization"}, |
|
{"name": "Document Summarization", |
|
"children": [ |
|
{"name": "Multi-document Summarization"}, |
|
{"name": "Scientific Document Summarization"} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"name": "Information Extraction", |
|
"children": [ |
|
{"name": "Named Entity Recognition (NER)", |
|
"children": [ |
|
{"name": "NER for Nested Entities"} |
|
] |
|
}, |
|
{"name": "Entity Linking"}, |
|
{"name": "Event Extraction"}, |
|
{"name": "Temporal Event Understanding"}, |
|
{"name": "Coreference Resolution"}, |
|
{"name": "Anaphora Resolution"}, |
|
{"name": "Word Sense Disambiguation (WSD)"}, |
|
{"name": "Relation Extraction", |
|
"children": [ |
|
{"name": "Causality Relations Extraction"} |
|
] |
|
}, |
|
{"name": "Hypernymy Extraction"} |
|
] |
|
}, |
|
{ |
|
"name": "Error Detection and Correction", |
|
"children": [ |
|
{"name": "Grammatical Error Correction (GEC)"} |
|
] |
|
}, |
|
{ |
|
"name": "Knowledge Representation and Reasoning", |
|
"children": [ |
|
{"name": "Semantic Web"}, |
|
{"name": "Knowledge Graphs"}, |
|
{"name": "Taxonomy Construction"}, |
|
{"name": "Ontologies", |
|
"children": [ |
|
{"name": "Ontology Construction"}, |
|
{"name": "Ontology Matching"}, |
|
{"name": "Ontology Extension "} |
|
] |
|
}, |
|
{"name": "Multihop Reasoning"}, |
|
{"name": "Link Prediction"}, |
|
{"name": "Abstract Meaning Representation (AMR)"} |
|
] |
|
}, |
|
{ |
|
"name": "Figurative Language", |
|
"children": [ |
|
{"name": "Idiomatic Expressions"}, |
|
{"name": "Metaphors"} |
|
] |
|
}, |
|
|
|
{ |
|
"name": "Software Development" |
|
}, |
|
|
|
{ |
|
"name": "Infrastructure or Platform Development" |
|
}, |
|
|
|
{ |
|
"name": "Explainability and Interpretability" |
|
}, |
|
|
|
{ |
|
"name": "Natural Language Inference (NLI)" |
|
}, |
|
|
|
{ |
|
"name": "Human-machine Interaction" |
|
}, |
|
|
|
{ |
|
"name": "Robotics" |
|
} |
|
|
|
] |
|
} |