Semantic Relatedness Measure for Identifying Relevant Answers in Online Community Question Answering Services
This study introduces a new sentence-to-sentence semantic relatedness measure. The proposed measure optimized the word-to-word semantic relatedness that based on the depth of two concepts in WordNet. The study used Microsoft Research Paraphrases Corpus to validate the accuracy of the proposed method...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2015
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/12080/7/Semantic%20relatedness%20measure%20for%20identifying%20relevant%20answers%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/12080/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaysia Sarawak |
| Language: | English |