Name
Title | ||
|---|---|---|
Regularized Phrase-Based Topic Model for Automatic Question Classification With Domain-Agnostic Class Labels |
Abstract | ||
|---|---|---|
Classification of questions according to domain-agnostic class labels relies on a suitable feature extraction process. We propose the use of phrases that is more effective than using words to represent questions. The proposed phrase-based topic modeling technique employs asymmetric priors that are scaled with a new C-value for nested regular expressions. In addition, to suppress high-frequency words in phrases, we deploy term weightages computed using the modified distinguishing feature selector. The proposed approach also incorporates a new topic regularization mechanism to facilitate efficient mapping of questions to class labels. We validate the performance of our proposed model via four datasets across different domain-agnostic class labels comprising question types, reasoning capabilities, and cognitive complexities. Results obtained highlight that the proposed technique outperforms existing methods in terms of macro-average F1 score. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TASLP.2021.3126937 | IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING |
Keywords | DocType | Volume |
Computational modeling, Speech processing, Feature extraction, Semantics, Syntactics, Linguistics, Complexity theory, Automatic question classification, topic modeling, nested phrase mining, regular expression, term weighting schemes | Journal | 29 |
Issue | ISSN | Citations |
1 | 2329-9290 | 0 |
PageRank | References | Authors |
0.34 | 21 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Supraja | 1 | 0 | 1.01 |
| Andy W. H. Khong | 2 | 23 | 5.29 |
| Sivanagaraja Tatinati | 3 | 17 | 5.36 |