General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference.
Jingfei DuMyle OttHaoran LiXing ZhouVeselin StoyanovPublished in: EMNLP (Findings) (2020)
Keyphrases
- language model
- pre trained
- information retrieval
- language modeling
- n gram
- document level
- document retrieval
- retrieval model
- speech recognition
- test collection
- text retrieval
- probabilistic model
- query expansion
- language modelling
- statistical language models
- training data
- training examples
- relevance model
- smoothing methods
- vector space
- text documents
- language models for information retrieval
- neural network
- information retrieval systems
- machine learning
- translation model
- dimensionality reduction
- text mining
- control signals
- hidden markov models
- bayesian networks
- statistical language modeling