TAILIEUCHUNG - Báo cáo khoa học: "Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases"

This paper introduces a novel framework for the accurate retrieval of relational concepts from huge texts. Prior to retrieval, all sentences are annotated with predicate argument structures and ontological identifiers by applying a deep parser and a term recognizer. During the run time, user requests are converted into queries of region algebra on these annotations. Structural matching with pre-computed semantic annotations establishes the accurate and efficient retrieval of relational concepts. This framework was applied to a text retrieval system for MEDLINE. . | Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases Yusuke Miyao Tomoko Ohta Katsuya Masuda Yoshimasa Tsuruoka Kazuhiro Yoshida Takashi Ninomiya Jun ichi Tsujii Department of Computer Science University of Tokyo t School of Informatics University of Manchester Information Technology Center University of Tokyo Hongo 7-3-1 Bunkyo-ku Tokyo 113-0033 JAPaN yusuke okap kmasuda tsuruoka kyoshida ninomi tsujii @ Abstract This paper introduces a novel framework for the accurate retrieval of relational concepts from huge texts. Prior to retrieval all sentences are annotated with predicate argument structures and ontological identifiers by applying a deep parser and a term recognizer. During the run time user requests are converted into queries of region algebra on these annotations. Structural matching with pre-computed semantic annotations establishes the accurate and efficient retrieval of relational concepts. This framework was applied to a text retrieval system for MEDLINE. Experiments on the retrieval of biomedical correlations revealed that the cost is sufficiently small for real-time applications and that the retrieval precision is significantly improved. 1 Introduction Rapid expansion of text information has motivated the development of efficient methods of accessing information in huge texts. Furthermore user demand has shifted toward the retrieval of more precise and complex information including relational concepts. For example biomedical researchers deal with a massive quantity of publications MEDLINE contains approximately 15 million references to journal articles in life sciences and its size is rapidly increasing at a rate of more than 10 yearly National Library of Medicine 2005 . Researchers would like to be able to search this huge textbase for biomedical correlations such as protein-protein or gene-disease associations Blaschke and Valencia 2002 Hao et al. 2005 Chun et al. 2006 . However the .

• Báo cáo khoa học
• Semantic Retrieval
• the Accurate Identification
• Relational Concepts
• Massive Textbases
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Lexicon ontology
• Phrasal semantic analysis
• Semantic class
• Semantic distance
• Semantic information retrieval
• Image retrieval
• Similar image
• Semantic based image retrieval
• Self balanced clustering tree
• Major recent publications
• Semantic based entity retrieval
• Disambiguation system
• Twitter streams
• Vector space model
• Semantic similarity
• A Speech based Just in Time Retrieval System
• Semantic Search
• Andrei Popescu Belis
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• A Generalized Vector Space Model
• Text Retrieval
• Semantic Relatedness
• scientific reports
• model language
• process natural language
• A Cross Language
• Document Retrieval System
• Semantic Annotation
• Bag of visual word
• Deep learning
• Similarity measure
• Similar images
• Convolutional neural network
• BMC Bioinformatics
• BIOASQ Competition
• Hierarchical text classification
• Semantic indexing
• Information retrieval
• Passage retrieval
• Question answering
• Lecture Information retrieval techniques
• Bài giảng Kỹ thuật truy xuất thông tin
• Information retrieval techniques
• Dimensionality reduction
• Computing the random projection
• Latent semantic indexing (LSI)
• Probabilistic IR Models
• Symbolic Techniques
• Clustering Algorithms
• Emerging Concepts
• Semantic Analysis
• Text mining
• Latent semantic indexing
• Singular value decomposition
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• Geographic information system
• Testing effect
• Semantic mediator hypothesis
• Elaborative retrieval
• Mechanical Turk
• Cue target pairs
• DNA microarray
• Biomedical literature