TAILIEUCHUNG - Báo cáo khoa học: "Improving the Interpretation of Noun Phrases with Cross-linguistic Information"

This paper addresses the automatic classification of semantic relations in noun phrases based on cross-linguistic evidence from a set of five Romance languages. A set of novel semantic and contextual English– Romance NP features is derived based on empirical observations on the distribution of the syntax and meaning of noun phrases on two corpora of different genre (Europarl and CLUVI). The features were employed in a Support Vector Machines algorithm which achieved an accuracy of (Europarl) and (CLUVI), an improvement compared with two state-of-the-art models reported in the literature. . | Improving the Interpretation of Noun Phrases with Cross-linguistic Information Roxana Girju University of Illinois at Urbana-Champaign girju@ Abstract This paper addresses the automatic classification of semantic relations in noun phrases based on cross-linguistic evidence from a set of five Romance languages. A set of novel semantic and contextual English-Romance NP features is derived based on empirical observations on the distribution of the syntax and meaning of noun phrases on two corpora of different genre Europarl and CLUVI . The features were employed in a Support Vector Machines algorithm which achieved an accuracy of Eu-roparl and CLUVI an improvement compared with two state-of-the-art models reported in the literature. 1 Introduction Semantic knowledge is very important for any application that requires a deep understanding of natural language. The automatic acquisition of semantic information in text has become increasingly important in ontology development information extraction question answering and other advanced natural language processing applications. In this paper we present a model for the automatic semantic interpretation of noun phrases NPs which is the task of determining the semantic relation among the noun constituents. For example family estate encodes a POSSESSION relation while dress of silk refers to PART-WHOLE. The problem while simple to state is hard to solve. The reason is that the meaning of these constructions is 568 most of the time ambiguous or implicit. Interpreting NPs correctly requires various types of information from world knowledge to complex context features. Moreover the extension of this task to other natural languages brings forward new issues and problems. For instance beer glass translates into tarro de cerveza in Spanish bicchiere da birra in Italian verre a biere in French and pahar de bere in Romanian. Thus an important research question is how do the syntactic constructions in the target .

• Báo cáo khoa học
• Improving the Interpretation of Noun Phrases
• Cross linguistic Information
• Roxana Girju
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• 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