Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding.
Ahmad Idrissi-YaghirAmin DadaHenning SchäferKamyar ArzidehGiulia BaldiniJan TrienesMax HasinJeanette BewersdorffCynthia S. SchmidtMarie BauerKaleb E. SmithJiang BianYonghui WuJörg SchlöttererTorsten ZeschPeter A. HornChristin SeifertFelix NensaJens KleesiekChristoph M. FriedrichPublished in: LREC/COLING (2024)
Keyphrases
- language model
- text understanding
- natural language understanding
- language modeling
- natural language processing
- natural language text
- n gram
- probabilistic model
- computational linguistics
- document retrieval
- information extraction
- information retrieval
- retrieval model
- query expansion
- topic modeling
- statistical language models
- vector space model
- text mining
- cross language
- test collection
- smoothing methods
- knowledge representation
- pseudo relevance feedback
- ad hoc information retrieval
- language models for information retrieval
- relevance model
- document level
- semantic similarity
- topic models
- natural language
- machine learning