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1
+ {
2
+ "name": "NLP",
3
+ "children": [
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+ {
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+ "name": "Image and Video Processing",
6
+ "children": [
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+ {"name": "Image Captioning"},
8
+ {"name": "Video Captioning"},
9
+ {"name": "Optical Character Recognition (OCR)"},
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+ {"name": "Sign Language and Fingerspelling Recognition"},
11
+ {"name": "Document Layout Analysis (DLA)"}
12
+ ]
13
+ },
14
+ {
15
+ "name": "Machine Translation (MT)",
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+ "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"},
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+ {"name": "Adversarial Learning"}
33
+ ]
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+ },
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+ {
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+ "name": "Model Architectures",
37
+ "children": [
38
+ {"name": "Transformer Models"},
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+ {
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
+ ]
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+ },
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+ {
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+ "name": "Finite State Machines"
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+ },
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+
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+ {
61
+ "name": "Multilingual NLP"
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+ },
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+
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+ {
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+ "name": "Cross-lingual Application"
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+ },
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+
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+ {
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+ "name": "Bilingual Lexicon Induction (BLI)"
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+ },
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+
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+ {
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+ "name": "Low-resource Languages"
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+ },
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+
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+ {
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+ "name": "Classification Applications",
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+ "children": [
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+ {"name": "Multilabel Text Classification"},
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+ {"name": "Hate and Offensive Speech Detection"},
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+ {"name": "Intent Detection"},
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+ {"name": "Email Spam and Phishing Detection"},
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+ {"name": "Plagiarism Detection"},
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+ {"name": "Disfluency Detection"},
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+ {
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+ "name": "Misinformation Detection",
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+ "children": [
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+ {"name": "Fake News Detection"},
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+ {"name": "Fake Review Detection"}
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+ ]
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+ },
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+ {"name": "Rumor Detection"},
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+ {"name": "Claim Verification"},
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+ {"name": "Emotion Detection"},
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+ {"name": "Sarcasm Detection"},
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+ {"name": "Humor Detection"},
97
+ {"name": "Stance Detection"},
98
+ {"name": "Personality Trait Prediction"},
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+ {"name": "Author Detection"},
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+ {"name": "Irony Detection"},
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+ {
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+ "name": "Sentiment Analysis (SA)",
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+ "children": [
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+ {"name": "Aspect-Based SA (ABSA)"}
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+ ]
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+ },
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+ {"name": "Hope Speech Detection"}
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+ ]
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+ },
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+ {
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+ "name": "Dialogue Systems",
112
+ "children": [
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+ {"name": "Open Domain Dialogue Systems"},
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+ {"name": "Chatbots"},
115
+ {"name": "Dialogue State Tracking (DST)"},
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+ {"name": "Response Generation"}
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+ ]
118
+ },
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+ {
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+ "name": "Question Answering (QA)",
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+ "children": [
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+ {"name": "Visual QA (VQA)"},
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+ {"name": "Open-Domain QA"},
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+ {"name": "Multiple Choice QA (MCQA)"},
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+ {"name": "Community QA"},
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+ {"name": "Mathematical QA"},
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+ {"name": "Knowledge Base QA"},
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+ {"name": "Long Form QA"}
129
+ ]
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+ },
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+ {
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+ "name": "Domain-specific NLP",
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+ "children": [
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+ {
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+ "name": "Medical and Clinical NLP",
136
+ "children": [
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+ {"name": "NLP for Mental Health"},
138
+ {"name": "Biomedical NLP"}
139
+ ]
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+ },
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+ {
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+ "name": "NLP for News and Media",
143
+ "children":[
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+ {"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"},
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+ {"name": "NLP for Literature"}
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+ ]},
155
+ {"name": "NLP for Politics"},
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+ {"name": "NLP for Education"},
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+ {
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+ "name": "NLP for Bibliometrics and Scientometrics",
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+ "children": [
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+ {"name": "Citation Analysis"}
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+ ]
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+ }
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+ ]
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+ },
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+ {
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+ "name": "Adversarial Attacks and Robustness",
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+ "children": [
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+ {"name": "Backdoor Attacks"}
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+ ]
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+ },
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+
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+ {
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+ "name": "Commonsense Reasoning"
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+ },
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+ {
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+ "name": "Automated Essay Scoring"
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+ },
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+ {
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+ "name": "Discourse Analysis"
180
+ },
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+ {
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+ "name": "Audio Generation and Processing",
183
+ "children":[
184
+ {"name": "Automatic Speech Recognition (ASR)"},
185
+ {"name": "Speech Synthesis"}
186
+ ]
187
+ },
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+ {
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+ "name": "Prompt Engineering"
190
+ },
191
+ {
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+ "name": "Authorship Verification"
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+ },
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+ {
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+ "name": "Acronyms and Abbreviations Detection and Expansion"
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+ },
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+ {
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+ "name": "Text Clustering"
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+ },
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+ {
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+ "name": "Topic Modeling"
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+ },
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+ {
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+ "name": "Evaluation Techniques"
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+ },
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+ {
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+ "name": "Ethics"
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+ },
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+
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+
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+ {"name": "Biases in NLP",
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+ "children": [
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+ {"name": "Gender Bias"},
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+ {"name": "Bias Detection"}
215
+ ]
216
+ },
217
+ {
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+ "name": "Argument Mining"
219
+ },
220
+ {
221
+ "name": "Embeddings",
222
+ "children": [
223
+ {"name": "Word Embeddings"},
224
+ {"name": "Sentence Embeddings"}
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+ ]
226
+ },
227
+ {
228
+ "name": "Parsing",
229
+ "children": [
230
+ {"name": "Discourse Parsing"},
231
+ {"name": "Semantic Parsing",
232
+ "children": [
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+ {"name": "Semantic Role Labeling"}
234
+ ]
235
+ },
236
+ {"name": "Morphological Parsing"},
237
+ {"name": "Syntactic Parsing",
238
+ "children": [
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+ {"name": "Constituency Parsing"},
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+ {"name": "Dependency Parsing"}
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+ ]
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+ }
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+ ]
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+ },
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+ {
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+ "name": "Text Preprocessing",
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+ "children": [
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+ {"name": "Text Segmentation",
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+ "children": [
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+ {"name": "Word Segmentation"},
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+ {"name": "Sentence Segmentation"}
252
+ ]
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+ },
254
+ {"name": "Part-of-Speech (POS) Tagging"}
255
+ ]
256
+ },
257
+ {
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+ "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"},
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+ {"name": "Poetry Generation"},
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+ {"name": "Text Style Transfer"},
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+ {"name": "Text Simplification"},
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+ {"name": "Data-to-Text Generation",
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+ "children": [
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+ {"name": "Table-to-Text Generation"}
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+ ]
275
+ }
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+ ]
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+ },
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+ {
279
+ "name": "Data Management and Generation",
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+ "children": [
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+ {"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
+ {
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+ "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
+ }