Determining event durations: Models and error analysis

Alakananda Vempala; Eduardo Blanco; Alexis Palmer

Determining event durations: Models and error analysis

Alakananda Vempala, Eduardo Blanco, Alexis Palmer

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

Abstract

This paper presents models to predict event durations. We introduce aspectual features that capture deeper linguistic information than previous work, and experiment with neural networks. Our analysis shows that tense, aspect and temporal structure of the clause provide useful clues, and that an LSTM ensemble captures relevant context around the event.

Original language	English (US)
Title of host publication	Short Papers
Publisher	Association for Computational Linguistics (ACL)
Pages	164-168
Number of pages	5
ISBN (Electronic)	9781948087292
State	Published - 2018
Externally published	Yes
Event	2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018 - New Orleans, United States Duration: Jun 1 2018 → Jun 6 2018

Publication series

Name	NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference
Volume	2

Conference

Conference	2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018
Country/Territory	United States
City	New Orleans
Period	6/1/18 → 6/6/18

ASJC Scopus subject areas

Linguistics and Language
Language and Linguistics
Computer Science Applications

Cite this

Determining event durations: Models and error analysis. / Vempala, Alakananda; Blanco, Eduardo; Palmer, Alexis.
Short Papers. Association for Computational Linguistics (ACL), 2018. p. 164-168 (NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference; Vol. 2).

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

Vempala, A, Blanco, E & Palmer, A 2018, Determining event durations: Models and error analysis. in Short Papers. NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, vol. 2, Association for Computational Linguistics (ACL), pp. 164-168, 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018, New Orleans, United States, 6/1/18.

Vempala, Alakananda ; Blanco, Eduardo ; Palmer, Alexis. / Determining event durations : Models and error analysis. Short Papers. Association for Computational Linguistics (ACL), 2018. pp. 164-168 (NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference).

@inproceedings{b9c4f39bd43d450193fda3ea169f0e5b,

title = "Determining event durations: Models and error analysis",

abstract = "This paper presents models to predict event durations. We introduce aspectual features that capture deeper linguistic information than previous work, and experiment with neural networks. Our analysis shows that tense, aspect and temporal structure of the clause provide useful clues, and that an LSTM ensemble captures relevant context around the event.",

author = "Alakananda Vempala and Eduardo Blanco and Alexis Palmer",

note = "Publisher Copyright: {\textcopyright} 2018 Association for Computational Linguistics.; 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018 ; Conference date: 01-06-2018 Through 06-06-2018",

year = "2018",

language = "English (US)",

series = "NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference",

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

pages = "164--168",

booktitle = "Short Papers",

}

TY - GEN

T1 - Determining event durations

T2 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018

AU - Vempala, Alakananda

AU - Blanco, Eduardo

AU - Palmer, Alexis

PY - 2018

Y1 - 2018

N2 - This paper presents models to predict event durations. We introduce aspectual features that capture deeper linguistic information than previous work, and experiment with neural networks. Our analysis shows that tense, aspect and temporal structure of the clause provide useful clues, and that an LSTM ensemble captures relevant context around the event.

AB - This paper presents models to predict event durations. We introduce aspectual features that capture deeper linguistic information than previous work, and experiment with neural networks. Our analysis shows that tense, aspect and temporal structure of the clause provide useful clues, and that an LSTM ensemble captures relevant context around the event.

UR - http://www.scopus.com/inward/record.url?scp=85063413546&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85063413546&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85063413546

T3 - NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference

SP - 164

EP - 168

BT - Short Papers

PB - Association for Computational Linguistics (ACL)

Y2 - 1 June 2018 through 6 June 2018

ER -

Determining event durations: Models and error analysis

Abstract

Publication series

Conference

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this