VIST5: An Adaptive, Retrieval-Augmented Language Model for Visualization-oriented Dialog.
Henrik VoigtNuno CarvalhaisMonique MeuschkeMarkus ReichsteinSina ZarrießKai LawonnPublished in: EMNLP (Demos) (2023)
Keyphrases
- language model
- retrieval model
- document retrieval
- query expansion
- ad hoc information retrieval
- test collection
- language modeling
- information retrieval
- query terms
- language models for information retrieval
- document length
- statistical language models
- speech recognition
- relevance model
- smoothing methods
- cross language retrieval
- n gram
- probabilistic model
- web page retrieval
- document ranking
- query specific
- ir models
- text retrieval
- retrieval effectiveness
- pseudo feedback
- document level
- mixture model
- trec test collections
- vector space model
- jelinek mercer
- context sensitive
- okapi bm
- term dependencies
- pseudo relevance feedback
- average precision
- language modelling
- retrieval systems
- statistical language modeling
- natural language
- probabilistic retrieval models
- translation model
- inter document similarities
- information retrieval systems
- image database
- original query
- term weighting
- tf idf
- word clouds
- relevance feedback
- image retrieval