Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Inciarte, Alcides Alcoba"'
Autor:
Mohamed, Abdelrahman, Alwajih, Fakhraddin, Nagoudi, El Moatez Billah, Inciarte, Alcides Alcoba, Abdul-Mageed, Muhammad
Although image captioning has a vast array of applications, it has not reached its full potential in languages other than English. Arabic, for instance, although the native language of more than 400 million people, remains largely underrepresented in
Externí odkaz:
http://arxiv.org/abs/2311.08844
Autor:
Kwon, Sang Yun, Bhatia, Gagan, Nagoudi, El Moatez Billah, Inciarte, Alcides Alcoba, Abdul-Mageed, Muhammad
Intent detection and slot filling are critical tasks in spoken and natural language understanding for task-oriented dialog systems. In this work we describe our participation in the slot and intent detection for low-resource language varieties (SID4L
Externí odkaz:
http://arxiv.org/abs/2304.13292
Multilingual pretrained language models (mPLMs) acquire valuable, generalizable linguistic information during pretraining and have advanced the state of the art on task-specific finetuning. To date, only ~31 out of ~2,000 African languages are covere
Externí odkaz:
http://arxiv.org/abs/2212.10785
Autor:
Nagoudi, El Moatez Billah, Abdul-Mageed, Muhammad, Elmadany, AbdelRahim, Inciarte, Alcides Alcoba, Khondaker, Md Tawkat Islam
Scholarship on generative pretraining (GPT) remains acutely Anglocentric, leaving serious gaps in our understanding of the whole class of autoregressive models. For example, we have little knowledge about the potential of these models and their socie
Externí odkaz:
http://arxiv.org/abs/2212.10755
Language identification (LID) is a crucial precursor for NLP, especially for mining web data. Problematically, most of the world's 7000+ languages today are not covered by LID technologies. We address this pressing issue for Africa by introducing Afr
Externí odkaz:
http://arxiv.org/abs/2210.11744