کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4966494 867089 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Entity disambiguation to Wikipedia using collective ranking
ترجمه فارسی عنوان
ابهام زدن واژگان به ویکیپدیا با استفاده از رتبه بندی جمعی
کلمات کلیدی
ابهام بازخورد-پرس-گسترش، رتبه بندی مجدد
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Entity disambiguation is a fundamental task of semantic Web annotation. Entity Linking (EL) is an essential procedure in entity disambiguation, which aims to link a mention appearing in a plain text to a structured or semi-structured knowledge base, such as Wikipedia. Existing research on EL usually annotates the mentions in a text one by one and treats entities independent to each other. However this might not be true in many application scenarios. For example, if two mentions appear in one text, they are likely to have certain intrinsic relationships. In this paper, we first propose a novel query expansion method for candidate generation utilizing the information of co-occurrences of mentions. We further propose a re-ranking model which can be iteratively adjusted based on the prediction in the previous round. Experiments on real-world data demonstrate the effectiveness of our proposed methods for entity disambiguation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Processing & Management - Volume 52, Issue 6, November 2016, Pages 1247-1257
نویسندگان
, , , ,