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Found 6 papers, 4 papers with code
Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia
Beyond crowdsourcing, our initiative goes one step further in the exploration of the automatic collection of culturally relevant images through crawling and image generation.
SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages
Southeast Asia (SEA) is a region rich in linguistic diversity and cultural variety, with over 1, 300 indigenous languages and a population of 671 million people.
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
Visual Question Answering (VQA) is an important task in multimodal AI, and it is often used to test the ability of vision-language models to understand and reason on knowledge present in both visual and textual data.
Towards Automatic Construction of Filipino WordNet: Word Sense Induction and Synset Induction Using Sentence Embeddings
The resulting sense inventory and synonym sets can be used in automatically creating a wordnet.
Exploiting News Article Structure for Automatic Corpus Generation of Entailment Datasets
Lastly, we perform analyses on transfer learning techniques to shed light on their true performance when operating in low-data domains through the use of degradation tests.
Pagsusuri ng RNN-based Transfer Learning Technique sa Low-Resource Language
Pangatlo, suriin ang performance ng AWD-LSTM sa low-resource setting gamit ang degradation test at ikumpara ito sa mga transformer-based models.
