On Natural Language Processing and Plan Recognition

Christopher W. Geib; Mark Steedman

On Natural Language Processing and Plan Recognition

Christopher W. Geib, Mark Steedman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

The research areas of plan recognition and natural language parsing share many common features and even algorithms. However, the dialog between these two disciplines has not been effective. Specifically, significant recent results in parsing mildly context sensitive grammars have not been leveraged in the state of the art plan recognition systems. This paper will outline the relations between natural language processing(NLP) and plan recognition(PR), argue that each of them can effectively inform the other, and then focus on key recent research results in NLP and argue for their applicability to PR.

Original language	English
Title of host publication	Proceedings of the 20th International Joint Conference on Artifical Intelligence
Place of Publication	San Francisco, CA, USA
Publisher	Morgan Kaufmann Publishers Inc.
Pages	1612-1617
Number of pages	6
Publication status	Published - 2007

Publication series

Name	IJCAI'07
Publisher	Morgan Kaufmann Publishers Inc.

Access to Document

Geib Steedman 2007 On Natural Language Processing and Plan RecognitionAccepted author manuscript, 110 KB

http://dl.acm.org/citation.cfm?id=1625275.1625536

PACO-PLUS: Perception, Action & Cognition through learning of object-action complexes
Steedman, M.
EU government bodies
1/02/06 → 31/01/10
Project: Research

Cite this

@inproceedings{5d5c80e9f2ae40c5877797dd7ec3c744,

title = "On Natural Language Processing and Plan Recognition",

abstract = "The research areas of plan recognition and natural language parsing share many common features and even algorithms. However, the dialog between these two disciplines has not been effective. Specifically, significant recent results in parsing mildly context sensitive grammars have not been leveraged in the state of the art plan recognition systems. This paper will outline the relations between natural language processing(NLP) and plan recognition(PR), argue that each of them can effectively inform the other, and then focus on key recent research results in NLP and argue for their applicability to PR.",

author = "Geib, {Christopher W.} and Mark Steedman",

year = "2007",

language = "English",

series = "IJCAI'07",

publisher = "Morgan Kaufmann Publishers Inc.",

pages = "1612--1617",

booktitle = "Proceedings of the 20th International Joint Conference on Artifical Intelligence",

}

TY - GEN

T1 - On Natural Language Processing and Plan Recognition

AU - Geib, Christopher W.

AU - Steedman, Mark

PY - 2007

Y1 - 2007

N2 - The research areas of plan recognition and natural language parsing share many common features and even algorithms. However, the dialog between these two disciplines has not been effective. Specifically, significant recent results in parsing mildly context sensitive grammars have not been leveraged in the state of the art plan recognition systems. This paper will outline the relations between natural language processing(NLP) and plan recognition(PR), argue that each of them can effectively inform the other, and then focus on key recent research results in NLP and argue for their applicability to PR.

AB - The research areas of plan recognition and natural language parsing share many common features and even algorithms. However, the dialog between these two disciplines has not been effective. Specifically, significant recent results in parsing mildly context sensitive grammars have not been leveraged in the state of the art plan recognition systems. This paper will outline the relations between natural language processing(NLP) and plan recognition(PR), argue that each of them can effectively inform the other, and then focus on key recent research results in NLP and argue for their applicability to PR.

M3 - Conference contribution

T3 - IJCAI'07

SP - 1612

EP - 1617

BT - Proceedings of the 20th International Joint Conference on Artifical Intelligence

PB - Morgan Kaufmann Publishers Inc.

CY - San Francisco, CA, USA

ER -

On Natural Language Processing and Plan Recognition

Abstract / Description of output

Publication series

Access to Document

Fingerprint

Projects

PACO-PLUS: Perception, Action & Cognition through learning of object-action complexes

Cite this