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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.

Patent No.:

US 10585898 B1

PDFFull Text
Date of Patent:
Mar. 10, 2020

Filed:

May. 12, 2016

Identifying nonsense passages in a question answering system based on domain specific policy

Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Charles E. Beller, Baltimore, MD (US);

Michael Drzewucki, Chantilly, VA (US);

Christopher Phipps, Arlington, VA (US);

Kristen M. Summers, Takoma Park, MD (US);

Julie T. Yu, Chantilly, VA (US);

Assignee:

International Business Machines Corporation, Armonk, NY (US);

Attorneys:

Stephen R. Tkacs

Stephen J. Walder, Jr.

Diana R. Gerhardt

Primary Examiner:

Bryan S Blankenagel

Int. Cl.
CPC ...
G06F 17/27 (2006.01); G09B 7/00 (2006.01); G06F 16/2457 (2019.01); G06F 17/24 (2006.01); G06F 16/9535 (2019.01); G06F 16/2452 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24573 (2019.01); G06F 16/24522 (2019.01); G06F 16/9535 (2019.01); G06F 17/241 (2013.01); G06F 17/271 (2013.01); G09B 7/00 (2013.01);
Abstract

A mechanism is provided in a data processing system for identifying nonsense passages. An annotator in a natural language processing pipeline configured to execute in the data processing system annotates an input passage in a corpus with linguistic features to form an annotated passage. A domain-specific policy is associated with a domain of the corpus. A metric counters component in the natural language processing pipeline counts a number of instances of each type of linguistic feature in the annotated passage to form a set of feature counts. The metric counters component of the natural language processing pipeline determines a value for a metric based on the set of feature counts. The metric is specified in the domain-specific policy. A comparator component of the natural language processing pipeline compares the value for the metric to a predetermined model threshold. The threshold is specified in the domain-specific policy. A filter component of the natural language processing pipeline identifies whether the input passage is a nonsense passage based on a result of the comparison.

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