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1
OpenFraming: open-sourced tool for computational framing analysis of multilingual data
Sun, Yimeng; Tofu, David Assefa; Halim, Edward Edberg. - : Association for Computational Linguistics, 2021
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2
"Wikily" Supervised Neural Translation Tailored to Cross-Lingual Tasks ...
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3
Majority Voting with Bidirectional Pre-translation For Bitext Retrieval ...
Jones, Alex; Wijaya, Derry Tanti. - : arXiv, 2021
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4
Wikily Supervised Neural Translation Tailored to Cross-Lingual Tasks ...
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5
Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage ...
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6
OpenFraming: Open-sourced Tool for Computational Framing Analysis of Multilingual Data ...
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7
IndoCollex: A Testbed for Morphological Transformation of Indonesian Word Colloquialism ...
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8
LAL: linguistically aware learning for scene text recognition
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9
Resolving pronouns in Twitter streams: context can help!
Wijaya, Derry Tanti; Andy, Anietie; Callison-Burch, Chris. - : Association for Computational Linguistics, 2020
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10
Learning to scale multilingual representations for vision-language tasks
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11
Informativity in image captions vs. referring expressions
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12
Learning to scale multilingual representations for vision-language tasks
Burns, Andrea; Kim, Donghyun; Wijaya, Derry. - : Springer, 2020
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13
Learning to Scale Multilingual Representations for Vision-Language Tasks ...
Abstract: Current multilingual vision-language models either require a large number of additional parameters for each supported language, or suffer performance degradation as languages are added. In this paper, we propose a Scalable Multilingual Aligned Language Representation (SMALR) that supports many languages with few model parameters without sacrificing downstream task performance. SMALR learns a fixed size language-agnostic representation for most words in a multilingual vocabulary, keeping language-specific features for just a few. We use a masked cross-language modeling loss to align features with context from other languages. Additionally, we propose a cross-lingual consistency module that ensures predictions made for a query and its machine translation are comparable. The effectiveness of SMALR is demonstrated with ten diverse languages, over twice the number supported in vision-language tasks to date. We evaluate on multilingual image-sentence retrieval and outperform prior work by 3-4% with less than 1/5th ... : ECCV 2020 accepted spotlight paper ...
Keyword: Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences
URL: https://arxiv.org/abs/2004.04312
https://dx.doi.org/10.48550/arxiv.2004.04312
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14
Resolving Pronouns in Twitter Streams: Context can Help! ...
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15
Winter is here: summarizing Twitter streams related to pre-scheduled events
Andy, Anietie; Wijaya, Derry Tanti; Callison-Burch, Chris. - : Association for Computational Linguistics, 2019
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16
Detecting frames in news headlines and its application to analyzing news framing trends surrounding U.S. gun violence
Liu, Siyi; Guo, Lei; Mays, Kate. - : Association for Computational Linguistics, 2019
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17
Learning translations via images with a massively multilingual image dataset
Callison-Burch, Chris; Wijaya, Derry; Kriz, Reno. - : Association for Computational Linguistics, 2018
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18
Learning Translations via Matrix Completion
In: Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01838532 ; Conference on Empirical Methods in Natural Language Processing, Sep 2017, Copenhagen, Denmark (2017)
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