The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 02, 2024

Filed:

Mar. 25, 2021
Applicant:

Ford Global Technologies, Llc, Dearborn, MI (US);

Inventors:

Lucas Ross, Royal Oak, MI (US);

Romil Shah, Ann Arbor, MI (US);

Assignee:

Ford Global Technologies, LLC, Dearborn, MI (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/332 (2019.01); G06F 16/33 (2019.01); G06F 16/338 (2019.01);
U.S. Cl.
CPC ...
G06F 16/3329 (2019.01); G06F 16/338 (2019.01); G06F 16/3344 (2019.01);
Abstract

A system comprises an input interface to receive input indicating a question, a communication module to establish a communication link with an access network, wherein the communication link provides connectivity to one or more packet data networks (PDNs) via the access network, and a computer coupled to the input interface and the communication module, the computer including a processor and a memory, the memory storing instructions executable by the processor to execute an information retrieval procedure including accessing an open-domain context search space of the one or more PDNs and retrieving, from among a plurality of contexts of the open-domain context search space, a plurality of candidate contexts for answering the question using a question-answering model for open-domain question answering, identify a set of non-answering contexts among the plurality of candidate contexts, wherein each of the set of non-answering contexts is a respective context for which the question-answering model predicts the question to be unanswerable, determine an open-domain unanswerability score for the question based on respective relevance scores for the set of non-answering contexts, determine an open-domain result for the question based on the open-domain unanswerability score for the question, and output result information indicating the open-domain result for the question.


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