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Found 7 papers, 6 papers with code
Translate and Classify: Improving Sequence Level Classification for English-Hindi Code-Mixed Data
To translate English-Hindi code-mixed data to English, we use mBART, a pre-trained multilingual sequence-to-sequence model that has shown competitive performance on various low-resource machine translation pairs and has also shown performance gains in languages that were not in its pre-training corpus.
CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences
Code-mixed languages are very popular in multilingual societies around the world, yet the resources lag behind to enable robust systems on such languages.
Towards Detecting Political Bias in Hindi News Articles
Political propaganda in recent times has been amplified by media news portals through biased reporting, creating untruthful narratives on serious issues causing misinformed public opinions with interests of siding and helping a particular political party.
cViL: Cross-Lingual Training of Vision-Language Models using Knowledge Distillation
We propose a pipeline that utilizes English-only vision-language models to train a monolingual model for a target language.
ViTA: Visual-Linguistic Translation by Aligning Object Tags
Multimodal Machine Translation (MMT) enriches the source text with visual information for translation.
Ranked #1 on
Multimodal Machine Translation
on Hindi Visual Genome (Test Set)
(using extra training data)
Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal Ensemble
Memes are one of the most popular types of content used to spread information online.
Volta at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables using TAPAS and Transfer Learning
We fine-tune TAPAS (a model which extends BERT's architecture to capture tabular structure) for both the subtasks as it has shown state-of-the-art performance in various table understanding tasks.
