A hierarchical hidden Markov model (HHMM) based approach of product named entity recognition (NER) from Chinese free text is presented in this paper. Characteristics and challenges in product NER is also investigated and analyzed deliberately compared with general NER. Within a unified statistical framework, the approach we proposed is able to make probabilistically reasonable decisions to a gl...

Assertional methods tend to be useable for abstract, coarse-grained versions of concurrent algorithms, but quickly become intractable for more realistic , ner-grained implementations. Various trace-reduction methods have been proposed to transfer properties of coarse-grained versions to ner-grained versions. We show that a more direct approach, involving the explicit construction of an (inducti...

Named Entity Recognition (NER) is the process of automatically recognizing entity names such as person, organization, and date in a document. In this study, we focus on bank documents written Turkish propose CRF model to extract named entities. The main contribution study twofold: (i) domain-specific features law, regulation, reference which frequently appear documents; (ii) contribute NER rese...

Recognizing and extracting exact name entities, like Persons, Locations, Organizations, Dates and Times are very useful to mining information from electronics resources and text. Learning to extract these types of data is called Named Entity Recognition (NER) task. Proper named entity recognition and extraction is important to solve most problems in hot research area such as Question Answering ...

DNA damage is implicated in cancer and aging, and several DNA repair mechanisms exist that safeguard the genome from these deleterious consequences. Nucleotide excision repair (NER) removes a wide diversity of lesions, the main of which include UV-induced lesions, bulky chemical adducts and some forms of oxidative damage. The NER process involves the action of at least 30 proteins in a 'cut-and...

Biomedical named entity recognition (NER) is a fundamental task in text mining of medical documents and has a lot of applications. Existing approaches for NER require manual feature engineering in order to represent words and its corresponding contextual information. Deep learning based approaches have been gaining increasing attention in recent years as their weight parameters can be learned e...

XPC-RAD23B (XPC) plays a critical role in human nucleotide excision repair (hNER) as this complex recognizes DNA adducts to initiate NER. To determine the mutagenic potential of structurally different bulky DNA damages, various studies have been conducted to define the correlation of XPC-DNA damage equilibrium binding affinity with NER efficiency. However, little is known about the effects of X...

Among the earliest responses of mammalian cells to DNA damage is catalytic activation of a nuclear enzyme poly(ADP-ribose) polymerase-1 (PARP-1). Activated PARP-1 forms the polymers of ADP-ribose (pADPr or PAR) that posttranslationally modify its target proteins, such as PARP-1 and DNA repair-related proteins. Although this metabolism is known to be implicated in other repair pathways, here we ...

The varied NER genes and smoking are two important risk factors of bladder cancer, but the mechanism of the NER protein and smoking in cancer progression, however, remains unclear. In this report, we compared the expressions of NER genes in 79 bladder cancer tissues with or without any recurrence by real-time PCR and then analyzed the varied NER genes by immunochemistry in 219 bladder cancer ti...