Kernel-based learning for biomedical relation extraction
نویسندگان
چکیده
منابع مشابه
Extraction of Drug-Drug Interaction from Literature through Detecting Linguistic-based Negation and Clause Dependency
Extracting biomedical relations such as drug-drug interaction (DDI) from text is an important task in biomedical NLP. Due to the large number of complex sentences in biomedical literature, researchers have employed some sentence simplification techniques to improve the performance of the relation extraction methods. However, due to difficulty of the task, there is no noteworthy improvement in t...
متن کاملExploiting Tree Kernels for High Performance Chemical Induced Disease Relation Extraction
Machine learning approaches based on supervised classification have emerged as effective methods for Biomedical relation extraction such as the Chemical-InducedDisease (CID) task. These approaches owe their success to a rich set of features crafted from the lexical and syntactic regularities in the text. Kernel methods are an effective alternative to manual feature engineering and have been suc...
متن کاملExploiting graph kernels for high performance biomedical relation extraction
BACKGROUND Relation extraction from biomedical publications is an important task in the area of semantic mining of text. Kernel methods for supervised relation extraction are often preferred over manual feature engineering methods, when classifying highly ordered structures such as trees and graphs obtained from syntactic parsing of a sentence. Tree kernels such as the Subset Tree Kernel and Pa...
متن کاملAn extended dependency graph for relation extraction in biomedical texts
Kernel-based methods are widely used for relation extraction task and obtain good results by leveraging lexical and syntactic information. However, in biomedical domain these methods are limited by the size of dataset and have difficulty in coping with variations in text. To address this problem, we propose Extended Dependency Graph (EDG) by incorporating a few simple linguistic ideas and inclu...
متن کاملKernel approaches for genic interaction extraction
MOTIVATION Automatic knowledge discovery and efficient information access such as named entity recognition and relation extraction between entities have recently become critical issues in the biomedical literature. However, the inherent difficulty of the relation extraction task, mainly caused by the diversity of natural language, is further compounded in the biomedical domain because biomedica...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- JASIST
دوره 59 شماره
صفحات -
تاریخ انتشار 2008