A Hybrid Method of Coreference Resolution in Information Security

In the field of information security,a gap exists in the study of coreference resolution of entities.A hybrid method is proposed to solve the problem of coreference resolution in information security.The work consists of two parts:the first extracts all candidates(including noun phrases,pronouns,entities,and nested phrases)from a given document and classifies them;the second is coreference resolution of the selected candidates.In the first part,a method combining rules with a deep learning model(Dictionary BiLSTM-Attention-CRF,or DBAC)is proposed to extract all candidates in the text and classify them.In the DBAC model,the domain dictionary matching mechanism is introduced,and new features of words and their contexts are obtained according to the domain dictionary.In this way,full use can be made of the entities and entity-type information contained in the domain dictionary,which can help solve the recognition problem of both rare and long entities.In the second part,candidates are divided into pronoun candidates and noun phrase candidates according to the part of speech,and the coreference resolution of pronoun candidates is solved by making rules and coreference resolution of noun phrase candidates by machine learning.Finally,a dataset is created with which to evaluate our methods using information security data.The experimental results show that the proposed model exhibits better performance than the other baseline models.

Transnasal endoscopic approach for orbital apical cavernous hemangiomas:a case report

Cavernous hemangioma is the most primary benign orbital tumor in adults,and majority of cases could be easily settled by surgical treatment.However,cavernous hemangioma lodged deep in the orbital apex remained a challenge because the surgery may pose a high risk of injury to the optic nerve and significant visual loss.This presentation would report a case of cavernous hemangioma located in orbital apex who presented superonasal and inferotemporal peripheral vision defect.The patient received fully transnasal endoscopic surgery,and a 2 cm×1.5 cm tumor was successfully removed from the left orbital apex.The treatment results were satisfactory,with no after-effects and adverse reactions during follow-up.This case highlighted that transnasal endoscopic surgery is a promising technique for cavernous hemangiomas that are located deep in orbital apex.This approach provides direct pathway to tumor with limiting morbidity,maximal surgical field and ample illumination.The procedure represents a safe and less invasive management.

Design and characterization of plasticized bacterial cellulose/waterborne polyurethane composite with antibacterial function for nasal stenting

A nasal stent capable of preventing adhesions and inflammation is of great value in treating nasal diseases.In order to solve the problems of tissue adhesion and inflammation response,we prepared plasticized bacterial cellulose(BCG)and waterborne polyurethane(WPU)composite with antibacterial function used as a novel nasal stent.The gelation behavior of BCG could contribute to protecting the paranasal sinus mucosa;meanwhile,the WPU with improved mechanical property was aimed at supporting the narrow nasal cavity.The thickness,size and the supporting force of the nasal stent could be adjusted according to the specific conditions of the nasal.Thermogravimetric analysis,contact angle and water absorption test were applied to investigate the thermal,hydrophilic and water absorption properties of the composite materials.The composite materials loaded with poly(hexamethylene biguanide)hydrochloride maintained well antibacterial activity over 12days.Animal experiments further revealed that the mucosal epithelium mucosae damage of BCG-WPU composite was minor compared with that of WPU.This new type of drug-loaded nasal stent can effectively address the postoperative adhesions and infections while ensuring the health of nasal mucosal,and thus has an immense clinical application prospects in treating nasal diseases.