no code implementations • PaM 2020 • Elizabeth Coppock, Danielle Dionne, Nathanial Graham, Elias Ganem, Shijie Zhao, Shawn Lin, Wenxing Liu, Derry Wijaya
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.
1 code implementation • MTSummit 2021 • Alexander G. Jones, Derry Wijaya
Using n-best candidates generated by a baseline MT model with beam search and we select the candidate that minimizes the absolute difference between the sentiment score of the source sentence and that of the translation and and perform two human evaluations to assess the produced translations.
no code implementations • 21 Feb 2024 • Ryandito Diandaru, Lucky Susanto, Zilu Tang, Ayu Purwarianti, Derry Wijaya
Large Language Models (LLMs) demonstrate strong machine translation capabilities on languages they are trained on.
no code implementations • 16 Jan 2024 • Afra Feyza Akyürek, Ekin Akyürek, Leshem Choshen, Derry Wijaya, Jacob Andreas
Given a collection of seed documents, DCT prompts LMs to generate additional text implied by these documents, reason globally about the correctness of this generated text, and finally fine-tune on text inferred to be correct.
no code implementations • 19 Dec 2023 • Isidora Chara Tourni, Derry Wijaya
Unsupervised Neural Machine Translation (UNMT) focuses on improving NMT results under the assumption there is no human translated parallel data, yet little work has been done so far in highlighting its advantages compared to supervised methods and analyzing its output in aspects other than translation accuracy.
no code implementations • 30 Nov 2023 • Isidora Chara Tourni, Derry Wijaya
With the advent of the Transformer architecture, Neural Machine Translation (NMT) results have shown great improvement lately.
1 code implementation • 30 Nov 2023 • Jongin Kim, Byeo Rhee Back, Aditya Agrawal, Jiaxi Wu, Veronika J. Wirtz, Traci Hong, Derry Wijaya
This paper introduces a multilingual dataset of COVID-19 vaccine misinformation, consisting of annotated tweets from three middle-income countries: Brazil, Indonesia, and Nigeria.
1 code implementation • 27 Nov 2023 • Afra Feyza Akyürek, Eric Pan, Garry Kuwanto, Derry Wijaya
In this study, we broaden the scope of the editing problem to include an array of editing cases such as debiasing and rectifying reasoning errors and define an edit as any natural language expression that solicits a change in the model's outputs.
1 code implementation • 13 Nov 2023 • Zilu Tang, Mayank Agarwal, Alex Shypula, Bailin Wang, Derry Wijaya, Jie Chen, Yoon Kim
This work explores the use of self-generated natural language explanations as an intermediate step for code-to-code translation with language models.
1 code implementation • 2 Nov 2023 • Lucky Susanto, Ryandito Diandaru, Adila Krisnadhi, Ayu Purwarianti, Derry Wijaya
Neural machine translation (NMT) for low-resource local languages in Indonesia faces significant challenges, including the need for a representative benchmark and limited data availability.
1 code implementation • 15 May 2023 • Afra Feyza Akyürek, Ekin Akyürek, Aman Madaan, Ashwin Kalyan, Peter Clark, Derry Wijaya, Niket Tandon
Despite their unprecedented success, even the largest language models make mistakes.
1 code implementation • 20 Oct 2022 • Zilu Tang, Muhammed Yusuf Kocyigit, Derry Wijaya
Data augmentation techniques have been proven useful in many applications in NLP fields.
no code implementations • 8 Sep 2022 • Zilu Tang, Derry Wijaya
Incorporating tagging into neural machine translation (NMT) systems has shown promising results in helping translate rare words such as named entities (NE).
1 code implementation • NAACL (GeBNLP) 2022 • Afra Feyza Akyürek, Muhammed Yusuf Kocyigit, Sejin Paik, Derry Wijaya
Researchers have devised numerous ways to quantify social biases vested in pretrained language models.
1 code implementation • Findings (NAACL) 2022 • Afra Feyza Akyürek, Sejin Paik, Muhammed Yusuf Kocyigit, Seda Akbiyik, Şerife Leman Runyun, Derry Wijaya
Large language models trained on a mixture of NLP tasks that are converted into a text-to-text format using prompts, can generalize into novel forms of language and handle novel tasks.
no code implementations • 16 May 2022 • Hieu Le, Taufiq Daryanto, Fabian Zhafransyah, Derry Wijaya, Elizabeth Coppock, Sang Chin
This paper focuses on a referring expression generation (REG) task in which the aim is to pick out an object in a complex visual scene.
no code implementations • 16 Mar 2022 • Anietie Andy, Siyi Liu, Daphne Ippolito, Reno Kriz, Chris Callison-Burch, Derry Wijaya
While popular televised events such as presidential debates or TV shows are airing, people provide commentary on them in real-time.
no code implementations • Findings (ACL) 2022 • Muhammed Yusuf Kocyigit, Jiho Lee, Derry Wijaya
We show that State-of-the-art QE models, when tested in a Parallel Corpus Mining (PCM) setting, perform unexpectedly bad due to a lack of robustness to out-of-domain examples.
no code implementations • 28 Nov 2021 • Wenda Qin, Teruhisa Misu, Derry Wijaya
Vision-and-Language Navigation (VLN) is a challenging task in the field of artificial intelligence.
no code implementations • 24 Mar 2021 • Garry Kuwanto, Afra Feyza Akyürek, Isidora Chara Tourni, Siyang Li, Alexander Gregory Jones, Derry Wijaya
We conduct an empirical study of neural machine translation (NMT) for truly low-resource languages, and propose a training curriculum fit for cases when both parallel training data and compute resource are lacking, reflecting the reality of most of the world's languages and the researchers working on these languages.
2 code implementations • 16 Aug 2020 • Alyssa Smith, David Assefa Tofu, Mona Jalal, Edward Edberg Halim, Yimeng Sun, Vidya Akavoor, Margrit Betke, Prakash Ishwar, Lei Guo, Derry Wijaya
The degree of user involvement is flexible: they can run models that have been pre-trained on select issues; submit labeled documents and train a new model for frame classification; or submit unlabeled documents and obtain potential frames of the documents.
no code implementations • ECCV 2020 • Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer
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.
no code implementations • 5 Mar 2020 • Siyi Liu, Ziang Leng, Derry Wijaya
Our method extracts ngrams that capture a persons speaking styles and uses the ngrams to create patterns for transforming sentences to the persons speaking styles.
no code implementations • 1 Aug 2017 • Joao Sedoc, Derry Wijaya, Masoud Rouhizadeh, Andy Schwartz, Lyle Ungar
Hand-built verb clusters such as the widely used Levin classes (Levin, 1993) have proved useful, but have limited coverage.