Abstract
Open Directory Project (ODP) has been successfully utilized in text classification due to its representation ability of various categories. However, ODP includes a limited number of entities, which play an important role in classification tasks. In this paper, we enrich the semantics of ODP categories with Probase entities. To effectively incorporate Probase entities in ODP categories, we first represent each ODP category and Probase entity in terms of concepts. Next, we measure the semantic relevance between an ODP category and a Probase entity based on the concept vector. Finally, we use Probase entity to enrich the semantics of the ODP categories. Our experimental results show that the proposed methodology exhibits a significant improvement over state-of-the-art techniques in the ODP-based text classification.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Volume | 2018-July |
| ISBN (Electronic) | 9781509060207 |
| DOIs | |
| Publication status | Published - 2018 Oct 12 |
| Event | 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Rio de Janeiro, Brazil Duration: 2018 Jul 8 → 2018 Jul 13 |
Other
| Other | 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 |
|---|---|
| Country | Brazil |
| City | Rio de Janeiro |
| Period | 18/7/8 → 18/7/13 |
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ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Artificial Intelligence
- Applied Mathematics
Cite this
Utilizing probase in open directory project-based text classification. / Jun, So Young; Aliyeva, Dinara; Lee, Ji Min; Lee, Sang-Geun.
2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings. Vol. 2018-July Institute of Electrical and Electronics Engineers Inc., 2018. 8491626.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Utilizing probase in open directory project-based text classification
AU - Jun, So Young
AU - Aliyeva, Dinara
AU - Lee, Ji Min
AU - Lee, Sang-Geun
PY - 2018/10/12
Y1 - 2018/10/12
N2 - Open Directory Project (ODP) has been successfully utilized in text classification due to its representation ability of various categories. However, ODP includes a limited number of entities, which play an important role in classification tasks. In this paper, we enrich the semantics of ODP categories with Probase entities. To effectively incorporate Probase entities in ODP categories, we first represent each ODP category and Probase entity in terms of concepts. Next, we measure the semantic relevance between an ODP category and a Probase entity based on the concept vector. Finally, we use Probase entity to enrich the semantics of the ODP categories. Our experimental results show that the proposed methodology exhibits a significant improvement over state-of-the-art techniques in the ODP-based text classification.
AB - Open Directory Project (ODP) has been successfully utilized in text classification due to its representation ability of various categories. However, ODP includes a limited number of entities, which play an important role in classification tasks. In this paper, we enrich the semantics of ODP categories with Probase entities. To effectively incorporate Probase entities in ODP categories, we first represent each ODP category and Probase entity in terms of concepts. Next, we measure the semantic relevance between an ODP category and a Probase entity based on the concept vector. Finally, we use Probase entity to enrich the semantics of the ODP categories. Our experimental results show that the proposed methodology exhibits a significant improvement over state-of-the-art techniques in the ODP-based text classification.
UR - http://www.scopus.com/inward/record.url?scp=85060477192&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060477192&partnerID=8YFLogxK
U2 - 10.1109/FUZZ-IEEE.2018.8491626
DO - 10.1109/FUZZ-IEEE.2018.8491626
M3 - Conference contribution
AN - SCOPUS:85060477192
VL - 2018-July
BT - 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -