TAILIEUCHUNG - Báo cáo khoa học: "Classification of Semantic Relationships between Nominals Using Pattern Clusters"

There are many possible different semantic relationships between nominals. Classification of such relationships is an important and difficult task (for example, the well known noun compound classification task is a special case of this problem). We propose a novel pattern clusters method for nominal relationship (NR) classification. Pattern clusters are discovered in a large corpus independently of any particular training set, in an unsupervised manner. Each of the extracted clusters corresponds to some unspecified semantic relationship. . | Classification of Semantic Relationships between Nominals Using Pattern Clusters Dmitry Davidov ICNC Hebrew University of Jerusalem dmitry@ Ari Rappoport Institute of Computer Science Hebrew University of Jerusalem arir@ Abstract There are many possible different semantic relationships between nominals. Classification of such relationships is an important and difficult task for example the well known noun compound classification task is a special case of this problem . We propose a novel pattern clusters method for nominal relationship NR classification. Pattern clusters are discovered in a large corpus independently of any particular training set in an unsupervised manner. Each of the extracted clusters corresponds to some unspecified semantic relationship. The pattern clusters are then used to construct features for training and classification of specific inter-nominal relationships. Our NR classification evaluation strictly follows the ACL SemEval-07 Task 4 datasets and protocol obtaining an f-score of as opposed to of the best previous work that did not use the manually provided WordNet sense disambiguation tags. 1 Introduction Automatic extraction and classification of semantic relationships is a major field of activity of both practical and theoretical interest. A prominent type of semantic relationships is that holding between nominals1. For example in noun compounds many different semantic relationships are encoded by the same simple form Girju et al. 2005 dog food denotes food consumed by dogs while summer morn 1Our use of the term nominal follows Girju et al 2007 and includes simple nouns noun compounds and multiword expressions serving as nouns. ing denotes a morning t f i t happens in the summer. These two relationships are completely different semantically but are similar syntactically and distinguishing between them could be essential for NLP applications such as question answering and machine translation. .

• Báo cáo khoa học
• Classification of Semantic
• Relationships between Nominals
• Pattern Clusters
• báo cáo khoa học
• báo cáo ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Verb Classification
• Distributional Similarity
• Syntactic and Semantic Structures
• ngôn ngữ tự nhiên
• Exploiting Syntactic
• Shallow Semantic Kernels
• Question Answer Classification
• mô hình ngôn ngữ
• Generalizing over Lexical Features
• Selectional Preferences
• Semantic Role Classification
• Semantic parsing
• Structured SVM Ensemble
• Classification Models
• Extending Latent Semantic
• Analysis with features
• dialogue act classification
• Towards a Semantic
• Classification of Spanish Verbs
• n Subcategorisation Information
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• 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