TAILIEUCHUNG - Báo cáo khoa học: "AUTOMATIC NOUN CLASSIFICATION BY USING "

Focusing on nouns, the idea claims that each noun is characterized by Verbs with which it occurs, and also that nouns are similar to the extent that they s h a r e verbs. These a u t o m a t i c classification approaches are also p a r t i a l l y successful. However, Hindle says that there is a number of issues to be confronted. The most important issue is that of "polysemy". In Hindle's experiment, two senses of"table", that is to say "table under which one can hide" and "table which. | AUTOMATIC NOUN CLASSIFICATION BY USING JAPANESE-ENGLISH WORD PAIRS Naomi Inoue KDD R D Laboratories 2-1-5 Ohara Kamifukuoka-shi Saitama 356 Japan inoue@ ABSTRACT This paper describes a method of classifying semantically similar nouns. The approach is based on the distributional hypothesis . Our approach is characterized by distinguishing among senses of the same word in order to resolve the polysemy issue. The classification result demonstrates that our approach is successful. 1. INTRODUCTION Sets of semantically similar words are very useful in natural language processing. The general approach toward classifying words is to use semantic categories for example the thesaurus. The is-a relation is connected between words and categories. However it is not easy to acquire the is-a connection by hand and it becomes expensive. Approaches toward automatically classifying words using existing dictionaries were therefore attempted Chodorow Tsurumaru Nakamura . These approaches are partially successful. However there is a fatal problem in these approaches namely existing dictionaries particularly Japanese dictionaries are not assembled on the basis of semantic hierarchy. On the other hand approaches toward automatically classifying words by using a large-scale corpus have also been attempted Shirai Hindle They seem to be based on the idea that semantically similar words appear in similar environments. This idea is derived from Harris s distributional hypothesis Harris in linguistics. Focusing on nouns the idea claims that each noun is characterized by verbs with which it occurs and also that nouns are similar to the extent that they share verbs. These automatic classification approaches are also partially successful. However Hindle says that there is a number of issues to be confronted. The most important issue is that of polysemy . In Hindle s experiment two senses of table that is to say table under which one can hide and table which can be commuted or

• Báo cáo khoa học
• AUTOMATIC NOUN
• CLASSIFICATION BY USING
• Naomi Inoue
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• A Taxonomy
• Dataset
• and Classifier
• Automatic Noun Compound Interpretation
• Stephen Tratz and Eduard Hovy
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Automatic Evaluation Method
• Machine Translation
• Noun Phrase Chunking
• Automatic construction
• hypernym labeled noun hierarchy from text
• Sharon A
• Caraballo
• Noun phrase co occurrence statistics
• semi automatic semantic
• lexicon construction
• Extracting Noun Phrases
• Large Scale Texts
• A Hybrid Approach
• Its Automatic Evaluation
• Knowledge Acquisition from Texts
• Using an Automatic Clustering Method
• Noun Modifier Relationship
• scientific reports
• model language
• process natural language
• Bài giảng Xử lý 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