Inducing example-based semantic frames from a massive amount of verb uses

Daisuke Kawahara; Daniel W. Peterson; Octavian Popescu; Martha Palmer

doi:10.3115/v1/e14-1007

Inducing example-based semantic frames from a massive amount of verb uses

Daisuke Kawahara, Daniel W. Peterson, Octavian Popescu, Martha Palmer

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

13 Citations (Scopus)

Abstract

We present an unsupervised method for inducing semantic frames from verb uses in giga-word corpora. Our semantic frames are verb-specific example-based frames that are distinguished according to their senses. We use the Chinese Restaurant Process to automatically induce these frames from a massive amount of verb instances. In our experiments, we acquire broad-coverage semantic frames from two giga-word corpora, the larger comprising 20 billion words. Our experimental results indicate the effectiveness of our approach.

Original language	English
Title of host publication	14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014
Publisher	Association for Computational Linguistics (ACL)
Pages	58-67
Number of pages	10
ISBN (Print)	9781632663962
DOIs	https://doi.org/10.3115/v1/e14-1007
Publication status	Published - 2014
Externally published	Yes
Event	14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014 - Gothenburg, Sweden Duration: 2014 Apr 26 → 2014 Apr 30

Publication series

Name	14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014

Conference

Conference	14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014
Country	Sweden
City	Gothenburg
Period	14/4/26 → 14/4/30

ASJC Scopus subject areas

Software

Access to Document

10.3115/v1/e14-1007

Fingerprint Dive into the research topics of 'Inducing example-based semantic frames from a massive amount of verb uses'. Together they form a unique fingerprint.

Cite this

Kawahara, D., Peterson, D. W., Popescu, O., & Palmer, M. (2014). Inducing example-based semantic frames from a massive amount of verb uses. In 14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014 (pp. 58-67). (14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/e14-1007

Inducing example-based semantic frames from a massive amount of verb uses. / Kawahara, Daisuke; Peterson, Daniel W.; Popescu, Octavian; Palmer, Martha.

14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014. Association for Computational Linguistics (ACL), 2014. p. 58-67 (14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014).

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

Kawahara, D, Peterson, DW, Popescu, O & Palmer, M 2014, Inducing example-based semantic frames from a massive amount of verb uses. in 14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014. 14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014, Association for Computational Linguistics (ACL), pp. 58-67, 14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014, Gothenburg, Sweden, 14/4/26. https://doi.org/10.3115/v1/e14-1007

Kawahara D, Peterson DW, Popescu O, Palmer M. Inducing example-based semantic frames from a massive amount of verb uses. In 14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014. Association for Computational Linguistics (ACL). 2014. p. 58-67. (14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014). https://doi.org/10.3115/v1/e14-1007

Kawahara, Daisuke ; Peterson, Daniel W. ; Popescu, Octavian ; Palmer, Martha. / Inducing example-based semantic frames from a massive amount of verb uses. 14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014. Association for Computational Linguistics (ACL), 2014. pp. 58-67 (14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014).

@inproceedings{3155c6b5c2db4e96b73af203bb2f50a1,

title = "Inducing example-based semantic frames from a massive amount of verb uses",

abstract = "We present an unsupervised method for inducing semantic frames from verb uses in giga-word corpora. Our semantic frames are verb-specific example-based frames that are distinguished according to their senses. We use the Chinese Restaurant Process to automatically induce these frames from a massive amount of verb instances. In our experiments, we acquire broad-coverage semantic frames from two giga-word corpora, the larger comprising 20 billion words. Our experimental results indicate the effectiveness of our approach.",

author = "Daisuke Kawahara and Peterson, {Daniel W.} and Octavian Popescu and Martha Palmer",

note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014 ; Conference date: 26-04-2014 Through 30-04-2014",

year = "2014",

doi = "10.3115/v1/e14-1007",

language = "English",

isbn = "9781632663962",

series = "14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014",

publisher = "Association for Computational Linguistics (ACL)",

pages = "58--67",

booktitle = "14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014",

}

TY - GEN

T1 - Inducing example-based semantic frames from a massive amount of verb uses

AU - Kawahara, Daisuke

AU - Peterson, Daniel W.

AU - Popescu, Octavian

AU - Palmer, Martha

PY - 2014

Y1 - 2014

N2 - We present an unsupervised method for inducing semantic frames from verb uses in giga-word corpora. Our semantic frames are verb-specific example-based frames that are distinguished according to their senses. We use the Chinese Restaurant Process to automatically induce these frames from a massive amount of verb instances. In our experiments, we acquire broad-coverage semantic frames from two giga-word corpora, the larger comprising 20 billion words. Our experimental results indicate the effectiveness of our approach.

AB - We present an unsupervised method for inducing semantic frames from verb uses in giga-word corpora. Our semantic frames are verb-specific example-based frames that are distinguished according to their senses. We use the Chinese Restaurant Process to automatically induce these frames from a massive amount of verb instances. In our experiments, we acquire broad-coverage semantic frames from two giga-word corpora, the larger comprising 20 billion words. Our experimental results indicate the effectiveness of our approach.

UR - http://www.scopus.com/inward/record.url?scp=84905689474&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84905689474&partnerID=8YFLogxK

U2 - 10.3115/v1/e14-1007

DO - 10.3115/v1/e14-1007

M3 - Conference contribution

AN - SCOPUS:84905689474

SN - 9781632663962

T3 - 14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014

SP - 58

EP - 67

BT - 14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014

PB - Association for Computational Linguistics (ACL)

T2 - 14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014

Y2 - 26 April 2014 through 30 April 2014

ER -