Can Large Language Models Transform Computational Social Science?
Caleb ZiemsWilliam HeldOmar ShaikhJiaao ChenZhehao ZhangDiyi YangPublished in: CoRR (2023)
Keyphrases
- language model
- social sciences
- language modeling
- document retrieval
- probabilistic model
- computer science
- n gram
- digital government
- language modelling
- speech recognition
- information retrieval
- retrieval model
- social scientists
- diverse fields
- query expansion
- vector space model
- statistical language models
- test collection
- smoothing methods
- document ranking
- query terms
- digital archiving
- pseudo relevance feedback
- context sensitive
- ad hoc information retrieval
- language models for information retrieval
- relevance model
- document length
- columbia university
- term dependencies
- nsf funded
- query specific
- passage retrieval
- language model for information retrieval