tailieunhanh - Báo cáo khoa học: "Determining the Specificity of Terms using Compositional and Contextual Information"

In the first category, new terms are created by adding modifiers to existing terms. For example “insulin-dependent diabetes mellitus” was created by adding modifier “insulin-dependent” to its hypernym “diabetes mellitus” as in Table 1. In English, the specific level terms are very commonly compounds of the generic level term and some modifier (Croft, 2004). | Determining the Specificity of Terms using Compositional and Contextual Information Pum-Mo Ryu Department of Electronic Engineering and Computer Science KAIST Abstract This paper introduces new specificity determining methods for terms using compositional and contextual information. Specificity of terms is the quantity of domain specific information that is contained in the terms. The methods are modeled as information theory like measures. As the methods don t use domain specific information they can be applied to other domains without extra processes. Experiments showed very promising result with the precision of when the methods were applied to the terms in MeSH thesaurus. 1. Introduction Terminology management concerns primarily with terms . the words that are assigned to concepts used in domain-related texts. A term is a meaningful unit that represents a specific concept within a domain Wright 1997 . Specificity of a term represents the quantity of domain specific information contained in the term. If a term has large quantity of domain specific information specificity value of the term is large otherwise specificity value of the term is small. Specificity of term X is quantified to positive real number as equation 1 . Spec X e R 1 Specificity of terms is an important necessary condition in term hierarchy . if X1 is one of ancestors of X2 then Spec X1 is less than Spec X2 . Specificity can be applied in automatic construction and evaluation of term hierarchy. When domain specific concepts are represented as terms the terms are classified into two categories based on composition of unit words. In the first category new terms are created by adding modifiers to existing terms. For example insulin-dependent diabetes mellitus was created by adding modifier insulin-dependent to its hypernym diabetes mellitus as in Table 1. In English the specific level terms are very commonly compounds of the generic level term and some modifier .

• Báo cáo khoa học
• Determining the Specificity
• Terms using Compositional
• Contextual Information
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Mutual information
• Specificity determining position
• Catalytic residues
• Functional sites
• Sequence analysis
• BMC Bioinformatics
• Circular RNAs
• Divergent primer
• Post transcriptionally regulate gene
• CircRNA primers
• Sequence database
• Functional residue
• Conserved positions
• Family dependent conserved position
• Functional subfamily
• CD4+ T cell epitope prediction
• Epitope based vaccination
• Pan specific
• Peptide binding prediction
• Peptide vaccination
• Specificity determining residues
• Bài giảng Xử lý ngôn ngữ tự nhiên
• Ngôn ngữ tự nhiên
• Kỹ thuật lập trình
• Xử lý nhập nhằng ngữ nghĩa
• Xử lý ngữ nghĩa
• Xử lý ngôn ngữ
• Natural Language Processing
• Ngôn ngữ lập trình
• Nhập nhằng cấu trúc
• Tri thức về ngôn ngữ
• Mô hình n gram
• Dịch máy
• Phương pháp dịch máy
• Hiểu ngôn ngữ
• Phân tích ngữ nghĩa
• Phân loại tin tự động
• Biểu diễn vị từ
• Thuộc tính về sự kiện
• Thuộc tính về sự kiện
• Mô hình ngôn ngữ Google Book N grams
• Mô hình ngôn ngữ KenLM
• Phương pháp làm mịn
• Tách từ tiếng Việt
• Gán nhãn từ loại
• Phân tích cú pháp
• Nghĩa từ vựng
• Phân giải nhập nhằng từ
• Phân loại văn bản
• Lexical chain
• Phản hồi thông tin
• Bài toán PTCP
• Cấu trúc ngữ pháp
• Phân tích cú pháp xác suất
• CKY kết hợp xác suất
• Văn phạm phi ngữ cảnh xác suất
• Hình thái học