Search Results for author: Derry Wijaya

Found 11 papers, 2 papers with code

Informativity in Image Captions vs. Referring Expressions

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.

Image Captioning Referring Expression +2

Sentiment-based Candidate Selection for NMT

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.

Machine Translation Sentiment Analysis +1

Creating Multimedia Summaries Using Tweets and Videos

no code implementations16 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.

Better Quality Estimation for Low Resource Corpus Mining

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.

Contrastive Learning Data Augmentation +2

Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages

no code implementations24 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.

Cross-Lingual Bitext Mining Language Modelling +2

OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames

2 code implementations16 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.

Frame General Classification

Learning to Scale Multilingual Representations for Vision-Language Tasks

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.

Language Modelling Machine Translation +1

Learning to mirror speaking styles incrementally

no code implementations5 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.

Deriving Verb Predicates By Clustering Verbs with Arguments

no code implementations1 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.

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