Best pathway for Domain Adaptation with Sentence Transformers?

• sentence-transformers

  45 13,793 9.2 Python

  Multilingual Sentence & Image Embeddings with BERT

  

Are you using one of these? https://github.com/UKPLab/sentence-transformers/blob/master/examples/training/ms_marco/train_bi-encoder_mnrl.py https://github.com/UKPLab/sentence-transformers/blob/master/examples/training/ms_marco/train_bi-encoder_mnrl.py

• gpl

  1 308 0.0 Python

  Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577 (by UKPLab)

  

3) Domain-adapted my bi-encoder using GPL (https://github.com/UKPLab/gpl) and my original corpus from step 1.

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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