@inproceedings{82995137480f41a78983e596e18d20db,
title = "A constrained hidden Markov model approach for non-explicit citation context extraction",
abstract = "In this paper we present a constrained hidden markov model based approach for extracting non-explicit citing sentences in research articles. Our method involves first independently training a separate HMM for each citation in the article being processed and then performing a constrained joint inference to label non-explicit citing sentences. Results on a standard test collection show that our method significantly outperforms the baselines and is comparable to the state of the art approaches.",
author = "Parikshit Sondhi and Chengxiang Zhai",
note = "Publisher Copyright: Copyright {\textcopyright} SIAM.; 14th SIAM International Conference on Data Mining, SDM 2014 ; Conference date: 24-04-2014 Through 26-04-2014",
year = "2014",
doi = "10.1137/1.9781611973440.41",
language = "English (US)",
series = "SIAM International Conference on Data Mining 2014, SDM 2014",
publisher = "Society for Industrial and Applied Mathematics Publications",
pages = "361--369",
editor = "Zaki, {Mohammed J.} and Arindam Banerjee and Srinivasan Parthasarathy and Pang Ning-Tan and Zoran Obradovic and Chandrika Kamath",
booktitle = "SIAM International Conference on Data Mining 2014, SDM 2014",
address = "United States",
}