TAILIEUCHUNG - Báo cáo khoa học: "PARSING"

One reason for the wide variety of views on many subjects in computational linguistics (such as parsing) is the diversity of objectives which lead people to do research in this area. Some researchers are motivated primarily by potential applications - the development of natural language interfaces for computer systems. Others are primarily concerned with the psychological processes which underlie human language, and view the computer as a tool for modeling and thus improving our understanding of these processes. . | PARSING Ralph Grishman Dept of Computer Science New York University New York N. Y. One reason for the wide variety of views on many subjects in computational linguistics such as parsing is the diversity of objectives which lead people to do research in this area. Some researchers are motivated primarily by potential applications - the development of natural language interfaces for computer systems. Others are primarily concerned with the psychological processes which underlie human language and view the computer as a tool for modeling and thus improving our understanding of these processes since as is often observed man is our best example of a natural language processor these two groups do have a strong commonality of research interest. Nonetheless their divergence of objective must lead to differences in the way they regard the component processes of natural language understanding. If - when human processing is better understood - it is recognized that the simulation of human processes is not the most effective way of constructing a natural language interface there may even be a deliberate divergence in the processes themselves. My work and this position paper reflect an applications orientation those with different research objectives will come to quite different conclusions. WHY PARSE One of the tasks of computer science in general and of artificial intelligence in particular is that of coping in a systematic fashion with systems of high complexity. Natural language interfaces certainly fit that characterization. A natural language interface must analyze input sequences communicate with some underlying system data base robot etc. and generate responses. In the transition from the natural language input to the language of the underlying system there is in principle no need to make explicit reference to any intermediate structures we could write our interface as a huge set of rules which map directly from input sequences into our target language. We know full .

• Báo cáo khoa học
• PARSING
• Ralph Grishman
• Workshops
• scientific reports
• model language
• process natural language
• Speeding Up Full Syntactic Parsing
• Leveraging Partial Parsing Decisions
• Elliot Glaysher and Dan Moldovan
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• SEMANIIC PARSING
• GRAPH LANGUAGE TRANSFORMATION A MULIIDIMENSIONAL
• PARSING HIGHLY INFLECTIONAL LANGUAGES
• Using distributed word representations
• Graph based dependency parsing for Vietnamese
• Graph based dependency parsing
• Dependency syntax
• Vietnamese syntax
• Vietnamese dependency parsing
• End of Supervised
• Parsing in Sight
• Is the End of Supervised Parsing in Sight?
• Ependency parsing
• Cross lingual
• Low resource language
• Word order transformation
• Dependency parsing
• NET Programming
• Java API
• Xml Parsing
• Web Services
• web management
• NET Framework
• mirosoft windows
• Some Comments on Algorithm and Grammar in the Automatic Parsing of Natural Languages
• Paul L
• Garvin
• Mechanical Translation and Computational Linguistics
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Endocentric Constructions and the Cocke Parsing Logic
• Jane Robinson
• RAND Corporation
• Selective Sharing
• Multilingual Dependency Parsing
• Tahira Naseem
• Head driven Transition based Parsing
• Top down Prediction
• Katsuhiko Hayashi
• Exploiting Multiple Treebanks for Parsing
• Quasi synchronous Grammars
• Zhenghua Li
• Ting Liu
• Attacking Parsing Bottlenecks
• Unlabeled Data
• Relevant Factorizations
• Semi supervised Dependency Parsing
• Lexical Affinities
• Alexis Nasr
• Incremental Joint Approach
• Word Segmentation
• POS Tagging
• Higher Order Constituent Parsing
• Parser Combination
• Xiao Chen
• Joint Evaluation
• Morphological Segmentation
• Syntactic Parsing
• Post ordering by Parsing
• Japanese English Statistical Machine Translation
• Isao Goto Masao Utiyama
• An Exploration of Forest to String Translation
• Does Translation Help
• Hurt Parsing
• Text level Discourse Parsing
• Rich Linguistic Features
• Long Papers
• Discriminative Strategies
• Integrate Multiword Expression Recognition and Parsing
• Matthieu Constant
• Utilizing Dependency Language Models
• Graph based Dependency Parsing Models
• Wenliang Chen
• Bayesian Symbol Refined Tree Substitution Grammars
• Hiroyuki Shindo
• Semantic Parsing
• Bayesian Tree Transducers
• Bevan Keeley Jones
• Dependency Hashing
• n best CCG Parsing
• Dominick Ng and James R
• Curran
• Accurate Context Free Parsing
• Combinatory Categorial Grammar
• Timothy A
• D
• Fowler and Gerald Penn