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Cross-lingual Visual Verb Sense Disambiguation. / Gella, Spandana; Elliott, Desmond; Keller, Frank.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, 2019. p. 1998-2004.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Gella, S
, Elliott, D & Keller, F 2019,
Cross-lingual Visual Verb Sense Disambiguation. in
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, pp. 1998-2004, 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - NAACL-HLT 2019, Minneapolis, United States,
03/06/2019.
https://doi.org/10.18653/v1/N19-1200APA
Gella, S.
, Elliott, D., & Keller, F. (2019).
Cross-lingual Visual Verb Sense Disambiguation. In
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) (pp. 1998-2004). Association for Computational Linguistics.
https://doi.org/10.18653/v1/N19-1200Vancouver
Gella S
, Elliott D, Keller F.
Cross-lingual Visual Verb Sense Disambiguation. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics. 2019. p. 1998-2004
https://doi.org/10.18653/v1/N19-1200Author
Gella, Spandana ; Elliott, Desmond ; Keller, Frank. / Cross-lingual Visual Verb Sense Disambiguation. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, 2019. pp. 1998-2004
Bibtex
@inproceedings{ed9c7aefe0094983bc054057d52bdb8d,
title = "Cross-lingual Visual Verb Sense Disambiguation",
abstract = "Recent work has shown that visual context improves cross-lingual sense disambiguation for nouns. We extend this line of work to the more challenging task of cross-lingual verb sense disambiguation, introducing the MultiSense dataset of 9,504 images annotated with English, German, and Spanish verbs. Each image in MultiSense is annotated with an English verb and its translation in German or Spanish. We show that cross-lingual verb sense disambiguation models benefit from visual context, compared to unimodal baselines. We also show that the verb sense predicted by our best disambiguation model can improve the results of a text-only machine translation system when used for a multimodal translation task.",
author = "Spandana Gella and Desmond Elliott and Frank Keller",
year = "2019",
month = jun,
day = "1",
doi = "10.18653/v1/N19-1200",
language = "English",
pages = "1998--2004",
booktitle = "Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
publisher = "Association for Computational Linguistics",
note = "2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - NAACL-HLT 2019 ; Conference date: 03-06-2019 Through 07-06-2019",
}
RIS
TY - GEN
T1 - Cross-lingual Visual Verb Sense Disambiguation
AU - Gella, Spandana
AU - Elliott, Desmond
AU - Keller, Frank
PY - 2019/6/1
Y1 - 2019/6/1
N2 - Recent work has shown that visual context improves cross-lingual sense disambiguation for nouns. We extend this line of work to the more challenging task of cross-lingual verb sense disambiguation, introducing the MultiSense dataset of 9,504 images annotated with English, German, and Spanish verbs. Each image in MultiSense is annotated with an English verb and its translation in German or Spanish. We show that cross-lingual verb sense disambiguation models benefit from visual context, compared to unimodal baselines. We also show that the verb sense predicted by our best disambiguation model can improve the results of a text-only machine translation system when used for a multimodal translation task.
AB - Recent work has shown that visual context improves cross-lingual sense disambiguation for nouns. We extend this line of work to the more challenging task of cross-lingual verb sense disambiguation, introducing the MultiSense dataset of 9,504 images annotated with English, German, and Spanish verbs. Each image in MultiSense is annotated with an English verb and its translation in German or Spanish. We show that cross-lingual verb sense disambiguation models benefit from visual context, compared to unimodal baselines. We also show that the verb sense predicted by our best disambiguation model can improve the results of a text-only machine translation system when used for a multimodal translation task.
U2 - 10.18653/v1/N19-1200
DO - 10.18653/v1/N19-1200
M3 - Article in proceedings
SP - 1998
EP - 2004
BT - Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
PB - Association for Computational Linguistics
T2 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - NAACL-HLT 2019
Y2 - 3 June 2019 through 7 June 2019
ER -
