Fine-Tuning BERT-based Language Models for Duplicate Trouble Report Retrieval.
Nathan BoschServeh ShalmashiForough YaghoubiHenrik HolmFitsum GaimAmir Hossein PayberahPublished in: Big Data (2022)
Keyphrases
- language model
- fine tuning
- retrieval model
- document retrieval
- test collection
- query expansion
- language modeling
- language models for information retrieval
- ad hoc information retrieval
- information retrieval
- smoothing methods
- statistical language models
- query terms
- n gram
- document length
- document ranking
- passage retrieval
- probabilistic model
- relevance model
- query generation
- cross language retrieval
- speech recognition
- query specific
- fine tuned
- term dependencies
- language modelling
- ir models
- document level
- retrieval effectiveness
- retrieval process
- statistical language modeling
- okapi bm
- text retrieval
- information retrieval systems
- expert finding
- vector space model
- image database
- probabilistic retrieval models
- relevant documents
- out of vocabulary
- translation model
- context sensitive
- relevance feedback
- tf idf
- ad hoc retrieval
- pseudo feedback
- term weighting
- retrieved documents
- term frequency
- language modeling approaches