Democratizing access to natural language processing (NLP) technology is
...
Large language models (LLMs) are highly adept at question answering and
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As the capabilities of large language models (LLMs) continue to advance,...
Instruction tuning has shown great promise in the field of natural langu...
We present NusaCrowd, a collaborative initiative to collect and unite
ex...
At the center of the underlying issues that halt Indonesian natural lang...
Natural language processing (NLP) has a significant impact on society vi...
NLP research is impeded by a lack of resources and awareness of the
chal...
We present IndoBERTweet, the first large-scale pretrained model for
Indo...
While automatic summarization evaluation methods developed for English a...
Existing work on probing of pretrained language models (LMs) has
predomi...
We introduce a top-down approach to discourse parsing that is conceptual...
In this paper, we propose FFCI, a framework for automatic summarization
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In this paper, we introduce a large-scale Indonesian summarization datas...
Although the Indonesian language is spoken by almost 200 million people ...
Although some linguists (Rusmali et al., 1985; Crouch, 2009) have fairly...
Despite the success of attention-based neural models for natural languag...