Semi-automatic construction of thyroid cancer intervention corpus from biomedical abstracts

Conference proceedings article

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Kongburan W., Padungweang P., Krathu W., Chan J.H.

ผู้เผยแพร่: Hindawi

ปีที่เผยแพร่ (ค.ศ.): 2016

หน้าแรก: 150

หน้าสุดท้าย: 157

จำนวนหน้า: 8

ISBN: 9781467377829

นอก: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966586524&doi=10.1109%2fICACI.2016.7449819&partnerID=40&md5=72cd390a3460a221d6cb62fdde05c768

ภาษา: English-Great Britain (EN-GB)

ดูบนเว็บไซต์ของสำนักพิมพ์

บทคัดย่อ

Thyroid cancer is a common endocrine tumor that is experiencing a steady increase in incidence worldwide. The latest discoveries on disease and its treatment are mostly propagated in the form of biomedical publications such as those in PubMed. Unfortunately, this information is distributed in unstructured text with over two thousand articles being added annually. Text mining technology plays an important role in information extraction, since it can be used to uncover hidden value from the vast amount of text in reasonable time. In general, a preliminary task of text mining is Named Entity Recognition (NER). In this case, a gold standard corpus is needed, since the capability of NER depends on a trustworthy corpus. However the construction of gold standard corpus is a laborious and time-consuming process. In order to obtain a reasonably practical corpus in a limited time, this paper consequently proposes a semiautomatic approach to construct a thyroid cancer interventions corpus. The experimental results demonstrate that the proposed method can be used to construct a thyroid cancer intervention corpus reasonably in terms of both performance and overfitting avoidance. ฉ 2016 IEEE.

คำสำคัญ

Corpus, Intervention, thyroid cancer