Rule Generation Based On Structural Clustering For Automatic Question Answering
In rule-based methods for Question-Answering (QA) research, typical rule discovery techniques are based on structural pattern overlapping and lexical information. These usually result in rules that may require further interpretation and rules that may be redundant. To address these issues, an automa...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
2009
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://eprints.usm.my/42706/1/SONG_SHEN.pdf |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| id |
my-usm-ep.42706 |
|---|---|
| record_format |
uketd_dc |
| spelling |
my-usm-ep.427062019-04-12T05:26:59Z Rule Generation Based On Structural Clustering For Automatic Question Answering 2009-12 Song , Shen QA75.5-76.95 Electronic computers. Computer science In rule-based methods for Question-Answering (QA) research, typical rule discovery techniques are based on structural pattern overlapping and lexical information. These usually result in rules that may require further interpretation and rules that may be redundant. To address these issues, an automatic structural rule generation algorithm is presented via clustering, where a center sentence-based clustering method is designed to automatically generate rules for QA systems. 2009-12 Thesis http://eprints.usm.my/42706/ http://eprints.usm.my/42706/1/SONG_SHEN.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Komputer |
| institution |
Universiti Sains Malaysia |
| collection |
USM Institutional Repository |
| language |
English |
| topic |
QA75.5-76.95 Electronic computers Computer science |
| spellingShingle |
QA75.5-76.95 Electronic computers Computer science Song , Shen Rule Generation Based On Structural Clustering For Automatic Question Answering |
| description |
In rule-based methods for Question-Answering (QA) research, typical rule discovery techniques are based on structural pattern overlapping and lexical information. These usually result in rules that may require further interpretation and rules that may be redundant. To address these issues, an automatic structural rule generation algorithm is presented via clustering, where a center sentence-based clustering method is designed to automatically generate rules for QA systems. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Song , Shen |
| author_facet |
Song , Shen |
| author_sort |
Song , Shen |
| title |
Rule Generation Based On Structural Clustering For Automatic Question Answering |
| title_short |
Rule Generation Based On Structural Clustering For Automatic Question Answering |
| title_full |
Rule Generation Based On Structural Clustering For Automatic Question Answering |
| title_fullStr |
Rule Generation Based On Structural Clustering For Automatic Question Answering |
| title_full_unstemmed |
Rule Generation Based On Structural Clustering For Automatic Question Answering |
| title_sort |
rule generation based on structural clustering for automatic question answering |
| granting_institution |
Universiti Sains Malaysia |
| granting_department |
Pusat Pengajian Sains Komputer |
| publishDate |
2009 |
| url |
http://eprints.usm.my/42706/1/SONG_SHEN.pdf |
| _version_ |
1747821093147639808 |