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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
Abstract: At the intersection between computer vision and natural language processing, there has been recent progress on two natural language generation tasks: Dense Image Captioning and Referring Expression Generation for objects in complex scenes. The former aims to provide a caption for a specified object in a complex scene for the benefit of an interlocutor who may not be able to see it. The latter aims to produce a referring expression that will serve to identify a given object in a scene that the interlocutor can see. The two tasks are designed for different assumptions about the common ground between the interlocutors, and serve very different purposes, although they both associate a linguistic description with an object in a complex scene. Despite these fundamental differences, the distinction between these two tasks is sometimes overlooked. Here, we undertake a side-by-side comparison between image captioning and reference game human datasets and show that they differ systematically with respect to informativity. We hope that an understanding of the systematic differences among these human datasets will ultimately allow them to be leveraged more effectively in the associated engineering tasks. ; Published version
URL: https://hdl.handle.net/2144/42772
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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 ...
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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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