TY - GEN
T1 - Bi-LSTM-CRF sequence labeling for keyphrase extraction from scholarly documents
AU - Al-Zaidy, Rabah A.
AU - Caragea, Cornelia
AU - Lee Giles, C.
N1 - Funding Information:
We thank NSF for support from grants IIS-1802358, IIS-1813571, CNS-1853919, and CNS-1823288, which supported this research.
Publisher Copyright:
© 2019 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC-BY 4.0 License.
PY - 2019/5/13
Y1 - 2019/5/13
N2 - In this paper, we address the keyphrase extraction problem as sequence labeling and propose a model that jointly exploits the complementary strengths of Conditional Random Fields that capture label dependencies through a transition parameter matrix consisting of the transition probabilities from one label to the neighboring label, and Bidirectional Long Short Term Memory networks that capture hidden semantics in text through the long distance dependencies. Our results on three datasets of scholarly documents show that the proposed model substantially outperforms strong baselines and previous approaches for keyphrase extraction.
AB - In this paper, we address the keyphrase extraction problem as sequence labeling and propose a model that jointly exploits the complementary strengths of Conditional Random Fields that capture label dependencies through a transition parameter matrix consisting of the transition probabilities from one label to the neighboring label, and Bidirectional Long Short Term Memory networks that capture hidden semantics in text through the long distance dependencies. Our results on three datasets of scholarly documents show that the proposed model substantially outperforms strong baselines and previous approaches for keyphrase extraction.
UR - http://www.scopus.com/inward/record.url?scp=85066915412&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066915412&partnerID=8YFLogxK
U2 - 10.1145/3308558.3313642
DO - 10.1145/3308558.3313642
M3 - Conference contribution
AN - SCOPUS:85066915412
T3 - The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019
SP - 2551
EP - 2557
BT - The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019
PB - Association for Computing Machinery, Inc
T2 - 2019 World Wide Web Conference, WWW 2019
Y2 - 13 May 2019 through 17 May 2019
ER -