CX DB8: A queryable extractive summarizer and semantic search engine

Understand

Competitive Debate's increasingly technical nature has left competitors looking for tools to accelerate evidence production.

• We find that the unique type of extractive summarization performed by competitive debaters - summarization with a bias towards a particular target meaning - can be performed using the latest innovations in unsupervised pre-trained text vectorization models.
• We introduce CX_DB8, a queryable word-level extractive summarizer and evidence creation framework, which allows for rapid, biasable summarization of arbitarily sized texts.
• CX_DB8s usage of the embedding framework Flair means that as the underlying models improve, CX_DB8 will also improve.