Scoring candidates using structural information in semi-structured documents for question answering systems
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 ob...
Saved in:
| Main Authors | , |
|---|---|
| Format | Patent |
| Language | English |
| Published |
28.11.2017
|
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Summary: | 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. |
|---|---|
| Bibliography: | Application Number: US201213605274 |