Table 1: 

Categorization of tasks studied. Note that the matrix factorization (MF) category includes text-based recommender systems.

CatTasks Included
TC Text classification tasks like sentiment analysis, hate speech detection, propaganda detection, etc. 
NER Semantic sequence labeling tasks like NER, event extraction, etc. 
POS Syntactic sequence labeling tasks like POS tagging, chunking, etc. 
NLI Natural language inference, NLU Tasks recast as NLI (e.g., GLUE) 
SP Structured prediction tasks such as entity and event coreference 
WSD Word sense disambiguation 
TRN Text ranking tasks (e.g., search) 
TRG Text regression tasks 
RC Reading comprehension 
MF Matrix factorization 
LI Lexicon induction 
SLU Spoken language understanding 
CatTasks Included
TC Text classification tasks like sentiment analysis, hate speech detection, propaganda detection, etc. 
NER Semantic sequence labeling tasks like NER, event extraction, etc. 
POS Syntactic sequence labeling tasks like POS tagging, chunking, etc. 
NLI Natural language inference, NLU Tasks recast as NLI (e.g., GLUE) 
SP Structured prediction tasks such as entity and event coreference 
WSD Word sense disambiguation 
TRN Text ranking tasks (e.g., search) 
TRG Text regression tasks 
RC Reading comprehension 
MF Matrix factorization 
LI Lexicon induction 
SLU Spoken language understanding 
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