Invention Grant
- Patent Title: Scoring candidates using structural information in semi-structured documents for question answering systems
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Application No.: US13244351Application Date: 2011-09-24
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Publication No.: US10223441B2Publication Date: 2019-03-05
- Inventor: James J. Fan , David A. Ferrucci
- Applicant: James J. Fan , David A. Ferrucci
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Scully, Scott, Murphy & Presser, P.C.
- Agent Mercedes Hobson, Esq.
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
A system, program product, and methodology automatically scores candidate answers to questions in a question and answer system. In the candidate answer scoring method, a processor device performs one or more of receiving one or more candidate answers associated with a query string, the candidates obtained from a data source having semi-structured content; identifying one or more documents with semi-structured content from the data source having a candidate answer; and for each identified document: extracting one or more entity structures embedded in the identified document; determining a number of the entity structures in the identified document that appear in the received input query; and, computing a score for a candidate answer in the document as a function of the number Overall system efficiency is improved by giving the correct candidate answers higher scores through leveraging context-dependent structural information such as links to other documents and embedded tags.
Public/Granted literature
Information query