A Constrained Hidden Markov Model Approach for Non-Explicit Citation Context Extraction
Parikshit Sondhi, ChengXiang Zhai · 2014
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.