Upload Taxonomy4CL_v1.0.1.json
Browse files- Taxonomy4CL_v1.0.1.json +401 -0
Taxonomy4CL_v1.0.1.json
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| 1 |
+
{
|
| 2 |
+
"name": "NLP",
|
| 3 |
+
"children": [
|
| 4 |
+
{
|
| 5 |
+
"name": "Image and Video Processing",
|
| 6 |
+
"children": [
|
| 7 |
+
{"name": "Image Captioning"},
|
| 8 |
+
{"name": "Video Captioning"},
|
| 9 |
+
{"name": "Optical Character Recognition (OCR)"},
|
| 10 |
+
{"name": "Sign Language and Fingerspelling Recognition"},
|
| 11 |
+
{"name": "Document Layout Analysis (DLA)"}
|
| 12 |
+
]
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"name": "Machine Translation (MT)",
|
| 16 |
+
"children": [
|
| 17 |
+
{"name": "Rule-based MT (RBMT)"},
|
| 18 |
+
{"name": "Statistical MT (SMT)"},
|
| 19 |
+
{"name": "Neural MT (NMT)"}
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"name": "Learning Paradigms",
|
| 24 |
+
"children": [
|
| 25 |
+
{"name": "Multimodal Learning"},
|
| 26 |
+
{"name": "Transfer Learning"},
|
| 27 |
+
{"name": "Few-shot Learning"},
|
| 28 |
+
{"name": "Reinforcement Learning"},
|
| 29 |
+
{"name": "Supervised Learning"},
|
| 30 |
+
{"name": "Unsupervised Learning"},
|
| 31 |
+
{"name": "Active Learning"},
|
| 32 |
+
{"name": "Adversarial Learning"}
|
| 33 |
+
]
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"name": "Model Architectures",
|
| 37 |
+
"children": [
|
| 38 |
+
{"name": "Transformer Models"},
|
| 39 |
+
{
|
| 40 |
+
"name": "Recurrent Neural Networks (RNNs)",
|
| 41 |
+
"children": [
|
| 42 |
+
{"name": "Long Short-Term Memory (LSTM) Models"}
|
| 43 |
+
]
|
| 44 |
+
},
|
| 45 |
+
{"name": "Large Language Models (LLMs)"},
|
| 46 |
+
{"name": "Graph Neural Networks (GNNs)"},
|
| 47 |
+
{"name": "Latent Dirichlet Allocation (LDA)"}
|
| 48 |
+
]
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"name": "Multi-agent Communication Systems",
|
| 52 |
+
"children": [
|
| 53 |
+
{"name": "Intelligent Agents"}
|
| 54 |
+
]
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"name": "Finite State Machines"
|
| 58 |
+
},
|
| 59 |
+
|
| 60 |
+
{
|
| 61 |
+
"name": "Multilingual NLP"
|
| 62 |
+
},
|
| 63 |
+
|
| 64 |
+
{
|
| 65 |
+
"name": "Cross-lingual Application"
|
| 66 |
+
},
|
| 67 |
+
|
| 68 |
+
{
|
| 69 |
+
"name": "Bilingual Lexicon Induction (BLI)"
|
| 70 |
+
},
|
| 71 |
+
|
| 72 |
+
{
|
| 73 |
+
"name": "Low-resource Languages"
|
| 74 |
+
},
|
| 75 |
+
|
| 76 |
+
{
|
| 77 |
+
"name": "Classification Applications",
|
| 78 |
+
"children": [
|
| 79 |
+
{"name": "Multilabel Text Classification"},
|
| 80 |
+
{"name": "Hate and Offensive Speech Detection"},
|
| 81 |
+
{"name": "Intent Detection"},
|
| 82 |
+
{"name": "Email Spam and Phishing Detection"},
|
| 83 |
+
{"name": "Plagiarism Detection"},
|
| 84 |
+
{"name": "Disfluency Detection"},
|
| 85 |
+
{
|
| 86 |
+
"name": "Misinformation Detection",
|
| 87 |
+
"children": [
|
| 88 |
+
{"name": "Fake News Detection"},
|
| 89 |
+
{"name": "Fake Review Detection"}
|
| 90 |
+
]
|
| 91 |
+
},
|
| 92 |
+
{"name": "Rumor Detection"},
|
| 93 |
+
{"name": "Claim Verification"},
|
| 94 |
+
{"name": "Emotion Detection"},
|
| 95 |
+
{"name": "Sarcasm Detection"},
|
| 96 |
+
{"name": "Humor Detection"},
|
| 97 |
+
{"name": "Stance Detection"},
|
| 98 |
+
{"name": "Personality Trait Prediction"},
|
| 99 |
+
{"name": "Author Detection"},
|
| 100 |
+
{"name": "Irony Detection"},
|
| 101 |
+
{
|
| 102 |
+
"name": "Sentiment Analysis (SA)",
|
| 103 |
+
"children": [
|
| 104 |
+
{"name": "Aspect-Based SA (ABSA)"}
|
| 105 |
+
]
|
| 106 |
+
},
|
| 107 |
+
{"name": "Hope Speech Detection"}
|
| 108 |
+
]
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"name": "Dialogue Systems",
|
| 112 |
+
"children": [
|
| 113 |
+
{"name": "Open Domain Dialogue Systems"},
|
| 114 |
+
{"name": "Chatbots"},
|
| 115 |
+
{"name": "Dialogue State Tracking (DST)"},
|
| 116 |
+
{"name": "Response Generation"}
|
| 117 |
+
]
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"name": "Question Answering (QA)",
|
| 121 |
+
"children": [
|
| 122 |
+
{"name": "Visual QA (VQA)"},
|
| 123 |
+
{"name": "Open-Domain QA"},
|
| 124 |
+
{"name": "Multiple Choice QA (MCQA)"},
|
| 125 |
+
{"name": "Community QA"},
|
| 126 |
+
{"name": "Mathematical QA"},
|
| 127 |
+
{"name": "Knowledge Base QA"},
|
| 128 |
+
{"name": "Long Form QA"}
|
| 129 |
+
]
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"name": "Domain-specific NLP",
|
| 133 |
+
"children": [
|
| 134 |
+
{
|
| 135 |
+
"name": "Medical and Clinical NLP",
|
| 136 |
+
"children": [
|
| 137 |
+
{"name": "NLP for Mental Health"},
|
| 138 |
+
{"name": "Biomedical NLP"}
|
| 139 |
+
]
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"name": "NLP for News and Media",
|
| 143 |
+
"children":[
|
| 144 |
+
{"name": "NLP for Social Media"}
|
| 145 |
+
]
|
| 146 |
+
},
|
| 147 |
+
{"name": "NLP for Climate"},
|
| 148 |
+
{"name": "NLP for the Legal Domain"},
|
| 149 |
+
{"name": "NLP for Finance"},
|
| 150 |
+
{"name": "NLP for Arts",
|
| 151 |
+
"children": [
|
| 152 |
+
{"name": "NLP for Music"},
|
| 153 |
+
{"name": "NLP for Literature"}
|
| 154 |
+
]},
|
| 155 |
+
{"name": "NLP for Politics"},
|
| 156 |
+
{"name": "NLP for Education"},
|
| 157 |
+
{
|
| 158 |
+
"name": "NLP for Bibliometrics and Scientometrics",
|
| 159 |
+
"children": [
|
| 160 |
+
{"name": "Citation Analysis"}
|
| 161 |
+
]
|
| 162 |
+
}
|
| 163 |
+
]
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"name": "Adversarial Attacks and Robustness",
|
| 167 |
+
"children": [
|
| 168 |
+
{"name": "Backdoor Attacks"}
|
| 169 |
+
]
|
| 170 |
+
},
|
| 171 |
+
|
| 172 |
+
{
|
| 173 |
+
"name": "Commonsense Reasoning"
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"name": "Automated Essay Scoring"
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"name": "Discourse Analysis"
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"name": "Audio Generation and Processing",
|
| 183 |
+
"children":[
|
| 184 |
+
{"name": "Automatic Speech Recognition (ASR)"},
|
| 185 |
+
{"name": "Speech Synthesis"}
|
| 186 |
+
]
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"name": "Prompt Engineering"
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"name": "Authorship Verification"
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"name": "Acronyms and Abbreviations Detection and Expansion"
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"name": "Text Clustering"
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"name": "Topic Modeling"
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"name": "Evaluation Techniques"
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"name": "Ethics"
|
| 208 |
+
},
|
| 209 |
+
|
| 210 |
+
|
| 211 |
+
{"name": "Biases in NLP",
|
| 212 |
+
"children": [
|
| 213 |
+
{"name": "Gender Bias"},
|
| 214 |
+
{"name": "Bias Detection"}
|
| 215 |
+
]
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"name": "Argument Mining"
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"name": "Embeddings",
|
| 222 |
+
"children": [
|
| 223 |
+
{"name": "Word Embeddings"},
|
| 224 |
+
{"name": "Sentence Embeddings"}
|
| 225 |
+
]
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"name": "Parsing",
|
| 229 |
+
"children": [
|
| 230 |
+
{"name": "Discourse Parsing"},
|
| 231 |
+
{"name": "Semantic Parsing",
|
| 232 |
+
"children": [
|
| 233 |
+
{"name": "Semantic Role Labeling"}
|
| 234 |
+
]
|
| 235 |
+
},
|
| 236 |
+
{"name": "Morphological Parsing"},
|
| 237 |
+
{"name": "Syntactic Parsing",
|
| 238 |
+
"children": [
|
| 239 |
+
{"name": "Constituency Parsing"},
|
| 240 |
+
{"name": "Dependency Parsing"}
|
| 241 |
+
]
|
| 242 |
+
}
|
| 243 |
+
]
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"name": "Text Preprocessing",
|
| 247 |
+
"children": [
|
| 248 |
+
{"name": "Text Segmentation",
|
| 249 |
+
"children": [
|
| 250 |
+
{"name": "Word Segmentation"},
|
| 251 |
+
{"name": "Sentence Segmentation"}
|
| 252 |
+
]
|
| 253 |
+
},
|
| 254 |
+
{"name": "Part-of-Speech (POS) Tagging"}
|
| 255 |
+
]
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"name": "Text Generation",
|
| 259 |
+
"children": [
|
| 260 |
+
{"name": " Text-to-SQL"},
|
| 261 |
+
{"name": "Story Generation",
|
| 262 |
+
"children": [
|
| 263 |
+
{"name": "Narrative Plot in Storytelling"}
|
| 264 |
+
]
|
| 265 |
+
},
|
| 266 |
+
{"name": "Paraphrase and Rephrase Generation"},
|
| 267 |
+
{"name": "Lyrics Generation"},
|
| 268 |
+
{"name": "Poetry Generation"},
|
| 269 |
+
{"name": "Text Style Transfer"},
|
| 270 |
+
{"name": "Text Simplification"},
|
| 271 |
+
{"name": "Data-to-Text Generation",
|
| 272 |
+
"children": [
|
| 273 |
+
{"name": "Table-to-Text Generation"}
|
| 274 |
+
]
|
| 275 |
+
}
|
| 276 |
+
]
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"name": "Data Management and Generation",
|
| 280 |
+
"children": [
|
| 281 |
+
{"name": "Data Analysis"},
|
| 282 |
+
{"name": "Data Preparation",
|
| 283 |
+
"children": [
|
| 284 |
+
{"name": "Annotation Processes"}
|
| 285 |
+
]
|
| 286 |
+
},
|
| 287 |
+
{"name": "Data Augmentation"}
|
| 288 |
+
]
|
| 289 |
+
},
|
| 290 |
+
|
| 291 |
+
{
|
| 292 |
+
"name": "Information Retrieval",
|
| 293 |
+
"children": [
|
| 294 |
+
{"name": "Information Filtering",
|
| 295 |
+
"children":[
|
| 296 |
+
{"name": "Recommender Systems"}
|
| 297 |
+
]
|
| 298 |
+
},
|
| 299 |
+
{"name": "Search Engines"}
|
| 300 |
+
]
|
| 301 |
+
},
|
| 302 |
+
|
| 303 |
+
{
|
| 304 |
+
"name": "Language Change Analysis",
|
| 305 |
+
"children": [
|
| 306 |
+
{"name": "Semantic Change Analysis"}
|
| 307 |
+
]
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"name": "Automatic Text Summarization",
|
| 311 |
+
"children": [
|
| 312 |
+
{"name": "Abstractive Text Summarization"},
|
| 313 |
+
{"name": "Extractive Text Summarization"},
|
| 314 |
+
{"name": "Document Summarization",
|
| 315 |
+
"children": [
|
| 316 |
+
{"name": "Multi-document Summarization"},
|
| 317 |
+
{"name": "Scientific Document Summarization"}
|
| 318 |
+
]
|
| 319 |
+
}
|
| 320 |
+
]
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"name": "Information Extraction",
|
| 324 |
+
"children": [
|
| 325 |
+
{"name": "Named Entity Recognition (NER)",
|
| 326 |
+
"children": [
|
| 327 |
+
{"name": "NER for Nested Entities"}
|
| 328 |
+
]
|
| 329 |
+
},
|
| 330 |
+
{"name": "Entity Linking"},
|
| 331 |
+
{"name": "Event Extraction"},
|
| 332 |
+
{"name": "Temporal Event Understanding"},
|
| 333 |
+
{"name": "Coreference Resolution"},
|
| 334 |
+
{"name": "Anaphora Resolution"},
|
| 335 |
+
{"name": "Word Sense Disambiguation (WSD)"},
|
| 336 |
+
{"name": "Relation Extraction",
|
| 337 |
+
"children": [
|
| 338 |
+
{"name": "Causality Relations Extraction"}
|
| 339 |
+
]
|
| 340 |
+
},
|
| 341 |
+
{"name": "Hypernymy Extraction"}
|
| 342 |
+
]
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"name": "Error Detection and Correction",
|
| 346 |
+
"children": [
|
| 347 |
+
{"name": "Grammatical Error Correction (GEC)"}
|
| 348 |
+
]
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"name": "Knowledge Representation and Reasoning",
|
| 352 |
+
"children": [
|
| 353 |
+
{"name": "Semantic Web"},
|
| 354 |
+
{"name": "Knowledge Graphs"},
|
| 355 |
+
{"name": "Taxonomy Construction"},
|
| 356 |
+
{"name": "Ontologies",
|
| 357 |
+
"children": [
|
| 358 |
+
{"name": "Ontology Construction"},
|
| 359 |
+
{"name": "Ontology Matching"},
|
| 360 |
+
{"name": "Ontology Extension "}
|
| 361 |
+
]
|
| 362 |
+
},
|
| 363 |
+
{"name": "Multihop Reasoning"},
|
| 364 |
+
{"name": "Link Prediction"},
|
| 365 |
+
{"name": "Abstract Meaning Representation (AMR)"}
|
| 366 |
+
]
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"name": "Figurative Language",
|
| 370 |
+
"children": [
|
| 371 |
+
{"name": "Idiomatic Expressions"},
|
| 372 |
+
{"name": "Metaphors"}
|
| 373 |
+
]
|
| 374 |
+
},
|
| 375 |
+
|
| 376 |
+
{
|
| 377 |
+
"name": "Software Development"
|
| 378 |
+
},
|
| 379 |
+
|
| 380 |
+
{
|
| 381 |
+
"name": "Infrastructure or Platform Development"
|
| 382 |
+
},
|
| 383 |
+
|
| 384 |
+
{
|
| 385 |
+
"name": "Explainability and Interpretability"
|
| 386 |
+
},
|
| 387 |
+
|
| 388 |
+
{
|
| 389 |
+
"name": "Natural Language Inference (NLI)"
|
| 390 |
+
},
|
| 391 |
+
|
| 392 |
+
{
|
| 393 |
+
"name": "Human-machine Interaction"
|
| 394 |
+
},
|
| 395 |
+
|
| 396 |
+
{
|
| 397 |
+
"name": "Robotics"
|
| 398 |
+
}
|
| 399 |
+
|
| 400 |
+
]
|
| 401 |
+
}
|