MACHINE LEARNING RECOLLECTION AS PART OF QUESTION ANSWERING USING A CORPUS

Machine learning recollection techniques are described as part of question answering using a corpus. Inputs are received identifying a search query and a corpus of search data that is to be searched based on the search query. The search query is decomposed to form a plurality of decomposed queries and retrieval search results are generated by searching the corpus of search data using one or more additional terms based on the decomposed queries. A search result is synthesized based on the retrieval search results using a text generation machine-learning model. The search result is presented for display in a user interface.