Abstract: A method comprises receiving a natural language search query, identifying a first set of semantic concepts in the query, creating a vector representation of the first set of semantic concepts, identifying a second set of semantic concepts having a vector representation within a predetermined threshold of similarity to the first set of semantic concepts, performing a search of documents based on the first set of semantic concepts, presenting a result set of documents and the first, second, and third sets of semantic concepts to a user, receiving input from the user, performing a second search of the documents based on the input from the user to obtain a second result set of documents, identifying a fourth set of semantic concepts based on the second result set of documents, and presenting the second result set of documents and the fourth set of semantic concepts to the user.

Abstract: Systems and methods for open domain question-answering are disclosed. In one embodiment, a method of providing answers to a question includes retrieving, by a computing device, a plurality of passages relevant to a search query generating a plurality of question-passage pairs, wherein each question-passage pair includes the search query and an individual passage of the plurality of passages, and determining, using a computer model, a probability that a passage of each question-passage pair of at least some of the plurality of question-passage pairs is an answer to a question posed by the search query. The method also includes displaying, on an electronic display, a selected passage of a question-passage pair having a highest probability that the passage is the answer to the question posed by the search query.

Abstract: A method comprises receiving a natural language search query, identifying a first set of semantic concepts in the query, creating a vector representation of the first set of semantic concepts, identifying a second set of semantic concepts having a vector representation within a predetermined threshold of similarity to the first set of semantic concepts, performing a search of documents based on the first set of semantic concepts, presenting a result set of documents and the first, second, and third sets of semantic concepts to a user, receiving input from the user, performing a second search of the documents based on the input from the user to obtain a second result set of documents, identifying a fourth set of semantic concepts based on the second result set of documents, and presenting the second result set of documents and the fourth set of semantic concepts to the user.