Relational learning for NLP using linear threshold elements

Roni Khardon; Dan Roth; Leslie G. Valiant

Relational learning for NLP using linear threshold elements

Roni Khardon, Dan Roth, Leslie G. Valiant

Research output: Contribution to journal › Conference article › peer-review

Abstract

We describe a coherent view of learning and reasoning with relational representations in the context of natural language processing. In particular, we discuss the Neuroidal Architecture, Inductive Logic Programming and the SNoW system explaining the relationships among these, and thereby offer an explanation of the theoretical basis for the SNoW system. We suggest that extensions of this system along the lines suggested by the theory may provide new levels of scalability and functionality.

Original language	English (US)
Pages (from-to)	911-917
Number of pages	7
Journal	IJCAI International Joint Conference on Artificial Intelligence
Volume	2
State	Published - 1999
Externally published	Yes
Event	16th International Joint Conference on Artificial Intelligence, IJCAI 1999 - Stockholm, Sweden Duration: Jul 31 1999 → Aug 6 1999

ASJC Scopus subject areas

Artificial Intelligence

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title = "Relational learning for NLP using linear threshold elements",

abstract = "We describe a coherent view of learning and reasoning with relational representations in the context of natural language processing. In particular, we discuss the Neuroidal Architecture, Inductive Logic Programming and the SNoW system explaining the relationships among these, and thereby offer an explanation of the theoretical basis for the SNoW system. We suggest that extensions of this system along the lines suggested by the theory may provide new levels of scalability and functionality.",

author = "Roni Khardon and Dan Roth and Valiant, {Leslie G.}",

year = "1999",

language = "English (US)",

volume = "2",

pages = "911--917",

journal = "IJCAI International Joint Conference on Artificial Intelligence",

issn = "1045-0823",

note = "16th International Joint Conference on Artificial Intelligence, IJCAI 1999 ; Conference date: 31-07-1999 Through 06-08-1999",

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T1 - Relational learning for NLP using linear threshold elements

AU - Khardon, Roni

AU - Roth, Dan

AU - Valiant, Leslie G.

PY - 1999

Y1 - 1999

N2 - We describe a coherent view of learning and reasoning with relational representations in the context of natural language processing. In particular, we discuss the Neuroidal Architecture, Inductive Logic Programming and the SNoW system explaining the relationships among these, and thereby offer an explanation of the theoretical basis for the SNoW system. We suggest that extensions of this system along the lines suggested by the theory may provide new levels of scalability and functionality.

AB - We describe a coherent view of learning and reasoning with relational representations in the context of natural language processing. In particular, we discuss the Neuroidal Architecture, Inductive Logic Programming and the SNoW system explaining the relationships among these, and thereby offer an explanation of the theoretical basis for the SNoW system. We suggest that extensions of this system along the lines suggested by the theory may provide new levels of scalability and functionality.

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UR - http://www.scopus.com/inward/citedby.url?scp=84880663523&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84880663523

SN - 1045-0823

VL - 2

SP - 911

EP - 917

JO - IJCAI International Joint Conference on Artificial Intelligence

JF - IJCAI International Joint Conference on Artificial Intelligence

T2 - 16th International Joint Conference on Artificial Intelligence, IJCAI 1999

Y2 - 31 July 1999 through 6 August 1999

ER -

Relational learning for NLP using linear threshold elements

Abstract

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