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Connectionist Model of Word Recognition (Rumelhart and McClelland)

Connectionist Model of Word Recognition (Rumelhart and McClelland)

Connectionist Model of Word Recognition (Rumelhart and McClelland). Constraints on Connectionist Models. 100 Step Rule Human reaction times ~ 100 milliseconds Neural signaling time ~ 1 millisecond Simple messages between neurons Long connections are rare

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1.72k views • 67 slides
自然言語の処理と理解の研究

自然言語の処理と理解の研究

自然言語の処理と理解の研究. 辻井　潤一 東京大学大学院理学系研究科 情報科学専攻. プロジェクトの目的. １．学術的な目的 　　構造的な言語処理と確率・統計的な言語処理の融合 　　　　　理論からのアプローチからの工学への貢献 　　言語処理と知識処理. ２．社会的なインパクト 　　ネットワーク時代の言語処理 　　　　　テキストからの知識獲得、情報検索、対話システム. ３．国際的な情報の発信 　　積極的な国際的な共同研究 　　　　　焦点を絞った、実質的な Goal を持った国際 Workshop 　　　　　緊密な研究協力体制の構築. プロジェクトの目的.

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564 views • 45 slides
Features and Unification Chapter 11

Features and Unification Chapter 11

Features and Unification Chapter 11. October 2007. Lecture #10. Context Free Grammars. We have been introduced to the notion of a context free grammar for capturing English constructions.

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568 views • 42 slides
Features and Unification Chapter 15

Features and Unification Chapter 15

Features and Unification Chapter 15. Lecture #10. October 2009. Context Free Grammars. We have been introduced to the notion of a context free grammar for capturing English constructions.

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432 views • 42 slides
Features and Unification Chapter 15

Features and Unification Chapter 15

Features and Unification Chapter 15. Lecture #10. October 2012. Context Free Grammars. We have been introduced to the notion of a context free grammar for capturing English constructions.

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459 views • 42 slides
Features and Unification Chapter 11

Features and Unification Chapter 11

Features and Unification Chapter 11. October 2005. Lecture #10. Context Free Grammars. We have been introduced to the notion of a context free grammar for capturing English constructions.

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437 views • 42 slides
Features (Attributes)

Features (Attributes)

Features (Attributes). + mammal + hoofs — aquatic + tail — wings — biped + quadraped colour ?!. Values can be atomic feature structures. Feature Structures. A set of feature-value pairs No feature occurs in more than one feature-value pair Circular structures are prohibited.

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476 views • 37 slides
KBE-System and Case-Library for UG-Structures EUUG Usermeeting 2003 Peter Binde

KBE-System and Case-Library for UG-Structures EUUG Usermeeting 2003 Peter Binde

C ase B ased E ngineering. KBE-System and Case-Library for UG-Structures EUUG Usermeeting 2003 Peter Binde. Content. - Dr. Wallner Group - Motivation for a new Assistant System - Case Study: Automotive-Generator - Feature-Processing - Concepts of the CBE-Assistant.

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467 views • 35 slides
Overview of Feature Structure Representation

Overview of Feature Structure Representation

Overview of Feature Structure Representation. Kiyong Lee klee@korea.ac.kr July 7, 2003 Sapporo, Japan. Preliminary Remark. This work item on feature structures concerns itself with their representational aspect only.

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385 views • 35 slides
Natural Language Processing

Natural Language Processing

Natural Language Processing. Vasile Rus http://www.cs.memphis.edu/~vrus/nlp. Outline. Announcements Problems with CFG Feature Structures Subsumption and Unification. Announcements. Project status report. Problems with simple context-free grammars. Subcategorization Agreement

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438 views • 34 slides
Elaborazione del linguaggio naturale

Elaborazione del linguaggio naturale

Elaborazione del linguaggio naturale. Fabio Massimo Zanzotto. Part five. Feature Structures. Where we are?. Target of the analysis: interpret NL sentences with respect to a sort of anambiguos internal laguage

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484 views • 32 slides
74.793 NLP and Speech 2004 Feature Structures

74.793 NLP and Speech 2004 Feature Structures

74.793 NLP and Speech 2004 Feature Structures. Feature Structures and Unification. Feature Structures - General. Feature structures describe linguistic attributes or features like number, person associated with words or syntactic constituents like noun phrase .

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491 views • 31 slides
Features & Unification

Features & Unification

Features & Unification. CMSC 35100 Intro to NLP January 12, 2006. Roadmap. Features: Motivation Constraint & compactness Features Definitions & representations Unification Application of features in the grammar Agreement, subcategorization Parsing with features & unification

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637 views • 26 slides
Lecture 11

Lecture 11

Lecture 11. Feature Structures and Unification Parsing. Limits of CFGs. Recall that there are several things CFGs don’t handle elegantly: Agreement ( A cat sleeps. Cats sleep. ) S  NP VP NP  Det Nom But these rules overgenerate, allowing, e.g., * A cat sleep…

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397 views • 26 slides
Features & Unification

Features & Unification

Features & Unification. CMSC 35100 Intro to NLP January 12, 2006. Roadmap. Features: Motivation Constraint & compactness Features Definitions & representations Unification Application of features in the grammar Agreement, subcategorization Parsing with features & unification

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278 views • 26 slides
Sag et al., Chapter 4

Sag et al., Chapter 4

Sag et al., Chapter 4. Complex Feature Values 10/7/04 Michael Mulyar. Complex Feature Structures.

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319 views • 21 slides
COMP 4060 Natural Language Processing

COMP 4060 Natural Language Processing

COMP 4060 Natural Language Processing. Feature Structures and Unification. Feature Structures and Unification. What are Features? Feature Structures, Agreement Feature Structures as Graphs Feature Constraints in Grammar Rules Inheritance of Features Using Features

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341 views • 19 slides
A Three Level Representation Model for Concepts, Terms and Linguistic Objects

A Three Level Representation Model for Concepts, Terms and Linguistic Objects

A Three Level Representation Model for Concepts, Terms and Linguistic Objects. Thierry Declerck (DFKI GmbH, LT-Lab) & Piroska Lendvai ( Research Institute for Linguistics, Hungarian Academy of Sciences ). Introduction.

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426 views • 18 slides
74.419 Artificial Intelligence 2005/06

74.419 Artificial Intelligence 2005/06

74.419 Artificial Intelligence 2005/06. From Syntax to Semantics. From Syntax to Semantics. Grammatical Extensions Sentence Structures Noun Phrase - Modifications Verb Phrase - Subcategorization Feature Structures -expressions. Grammar – Sentence Level Constructs.

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205 views • 17 slides
Unification Grammars

Unification Grammars

Unification Grammars. Allen ’ s Chapter 4 J&M ’ s Chapter 11. Unification of Feature Structures. Key concept - extension relationship between two FSs: F2 extends F1 if every feature-value pair in F1 is also in F2

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149 views • 8 slides

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