A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs

Klinton Bicknell; Roger Levy

A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs

Klinton Bicknell^*, Roger Levy

^*Corresponding author for this work

Linguistics

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

5 Scopus citations

Abstract

Human sentence processing involves integrating probabilistic knowledge from a variety of sources in order to incrementally determine the hierarchical structure for the serial input stream. While a large number of sentence processing effects have been explained in terms of comprehenders' rational use of probabilistic information, effects of local coherences have not. We present here a new model of local coherences, viewing them as resulting from a belief-update process, and show that the relevant probabilities in our model are calculable from a probabilistic Earley parser. Finally, we demonstrate empirically that an implemented version of the model makes the correct predictions for the materials from the original experiment demonstrating local coherence effects.

Original language	English (US)
Title of host publication	NAACL HLT 2009 - Human Language Technologies
Subtitle of host publication	The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Conference
Pages	665-673
Number of pages	9
State	Published - Dec 1 2009
Event	Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL HLT 2009 - Boulder, CO, United States Duration: May 31 2009 → Jun 5 2009

Other

Other	Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL HLT 2009
Country	United States
City	Boulder, CO
Period	5/31/09 → 6/5/09

ASJC Scopus subject areas

Language and Linguistics
Social Sciences (miscellaneous)

Access to Document

Fingerprint Dive into the research topics of 'A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs'. Together they form a unique fingerprint.

Cite this

Bicknell, K., & Levy, R. (2009). A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs. In NAACL HLT 2009 - Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Conference (pp. 665-673)

Bicknell, Klinton ; Levy, Roger. / A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs. NAACL HLT 2009 - Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Conference. 2009. pp. 665-673

@inproceedings{d007a45a0cf7484fb2ed6e70279003c7,

title = "A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs",

abstract = "Human sentence processing involves integrating probabilistic knowledge from a variety of sources in order to incrementally determine the hierarchical structure for the serial input stream. While a large number of sentence processing effects have been explained in terms of comprehenders' rational use of probabilistic information, effects of local coherences have not. We present here a new model of local coherences, viewing them as resulting from a belief-update process, and show that the relevant probabilities in our model are calculable from a probabilistic Earley parser. Finally, we demonstrate empirically that an implemented version of the model makes the correct predictions for the materials from the original experiment demonstrating local coherence effects.",

author = "Klinton Bicknell and Roger Levy",

year = "2009",

month = dec,

day = "1",

language = "English (US)",

isbn = "9781932432411",

pages = "665--673",

booktitle = "NAACL HLT 2009 - Human Language Technologies",

note = "Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL HLT 2009 ; Conference date: 31-05-2009 Through 05-06-2009",

}

Bicknell, K & Levy, R 2009, A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs. in NAACL HLT 2009 - Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Conference. pp. 665-673, Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL HLT 2009, Boulder, CO, United States, 5/31/09.

A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs. / Bicknell, Klinton; Levy, Roger.

NAACL HLT 2009 - Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Conference. 2009. p. 665-673.

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

TY - GEN

T1 - A model of local coherence effects in human sentence processing as consequences of updates from bottom-up prior to posterior beliefs

AU - Bicknell, Klinton

AU - Levy, Roger

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Human sentence processing involves integrating probabilistic knowledge from a variety of sources in order to incrementally determine the hierarchical structure for the serial input stream. While a large number of sentence processing effects have been explained in terms of comprehenders' rational use of probabilistic information, effects of local coherences have not. We present here a new model of local coherences, viewing them as resulting from a belief-update process, and show that the relevant probabilities in our model are calculable from a probabilistic Earley parser. Finally, we demonstrate empirically that an implemented version of the model makes the correct predictions for the materials from the original experiment demonstrating local coherence effects.

AB - Human sentence processing involves integrating probabilistic knowledge from a variety of sources in order to incrementally determine the hierarchical structure for the serial input stream. While a large number of sentence processing effects have been explained in terms of comprehenders' rational use of probabilistic information, effects of local coherences have not. We present here a new model of local coherences, viewing them as resulting from a belief-update process, and show that the relevant probabilities in our model are calculable from a probabilistic Earley parser. Finally, we demonstrate empirically that an implemented version of the model makes the correct predictions for the materials from the original experiment demonstrating local coherence effects.

UR - http://www.scopus.com/inward/record.url?scp=84858379693&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84858379693&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84858379693

SN - 9781932432411

SP - 665

EP - 673

BT - NAACL HLT 2009 - Human Language Technologies

T2 - Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL HLT 2009

Y2 - 31 May 2009 through 5 June 2009

ER -