Understanding Semantic Search — (Part 5: Ranking Metrics for Evaluating Question Answering Systems and Recommendation Systems)
This article explained the retriever and reader architecture used for extractive question-answering modeling. In short, for a given user query, the retriever model predicts the best passages, and the reader model takes the output from retriever models to predict relevant answers. The last article explained different answer quality metrics for…
Understanding Semantic Search — (Part 5: Ranking Metrics for Evaluating Question Answering Systems and Recommendation Systems) This article explained the retriever and reader architecture used for extractive question-answering modeling. In short, for a given user query, the retriever model predicts the best passages, and the reader model takes the output from retriever models to predict relevant answers. The last article explained different answer quality metrics for… nlp
Understanding Semantic Search — Part 5 Ranking Metrics Evaluating Question Answering Systems Recommendation Systems article explained retriever reader architecture used extractive questionanswering modeling short given user query retriever model predicts best passage reader model take output retriever model predict relevant answer last article explained different answer quality metric for… nlp