The ability of EcoP15I to cleave the convoluted structures selectively is a particularly interesting phenomenon, given that two head-to-head recognition sites are normally required for its restriction activity [37], [38], [49].
A standard section heading recognition corpus was compiled by annotators with clinical experience to evaluate the performance and compare it with sentence classification and dictionary-based approaches.
In contrast to formulating the section heading recognition task as a sentence classification problem, this work proposed a token-based formulation with the conditional random field (CRF) model.
They compiled a section heading recognition corpus on the i2b2 2014 clinical dataset and used it to evaluate the performance of the developed system.
The authors discussed the existing approaches in section heading recognition and the possibility of applying the method to enhance the meaningful use of electronic health records.
In order to improve the readability and accessibility of EHRs, this work developed a section heading recognition system for clinical documents.
The contribution by H.-J. Dai et al. "Recognition and Evaluation of Clinical Section Headings in Clinical Documents Using Token-Based Formulation with Conditional Random Fields" proposed a token-based formulation with the conditional random field model to establish an electronic health record section heading recognition system.
In view of this issue, this paper compiled a section-heading recognition corpus on top of the dataset released by the i2b2 2014 shared task [ 9] and presents a machine learning approach based on the conditional random fields (CRF) model [ 10] to handle the section-heading recognition task for EHRs.
Whenever I play at her home, her wheelchair is placed next to the piano and when I start to play, she responds, lifting her head in recognition.
You want your tweet to be a generally strong tweet, which makes people laugh, or nod their head in recognition, while also being obvious to your target that it's about them.
Many of Fallon's (or rather his writers') entries will make you nod your head in recognition: "Best Buy receipts ARE too long," I found myself thinking, or "Tuna casserole IS the sweatpants of food".
