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Published in 2017 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-017-0993-y
Abstract: We are pleased to present this special issue of IJCV on combined image and language understanding. It contains some of the latest work in a long line of research into problems at the intersection of…
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Keywords:
image;
guest editorial;
image language;
image captioning ... See more keywords
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Published in 2025 at "Journal of Bioethical Inquiry"
DOI: 10.1007/s11673-025-10480-1
Abstract: In this article, I explored the application of large language models (LLMs) in analysing linguistic colexification and ambiguity within bioethical scenarios. By employing word embeddings derived from LLMs, I constructed semantic distance matrices that provide…
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Keywords:
understanding llms;
geometry language;
language understanding;
llms bioethics ... See more keywords
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Published in 2022 at "Medical Teacher"
DOI: 10.1080/0142159x.2022.2130216
Abstract: Abstract Introduction Advances in natural language understanding have facilitated the development of Virtual Standardized Patients (VSPs) that may soon rival human patients in conversational ability. We describe herein the development of an artificial intelligence (AI)…
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Keywords:
system;
language understanding;
artificial intelligence;
virtual standardized ... See more keywords
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Published in 2021 at "Journal of Multilingual and Multicultural Development"
DOI: 10.1080/01434632.2020.1871359
Abstract: The increasing influx into Australia of (im)migrants whose first language is not English has made Australia linguistically more diverse than ever. Despite this, Australia remains a strongly Angloce...
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Keywords:
language language;
language ideologies;
understanding language;
parents language ... See more keywords
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Published in 2017 at "Big data"
DOI: 10.1089/big.2017.29016.sbo
Abstract: Prof. Bowman: I can only give a very high-level overview of the earlier part of this history, but there are three broad families of approaches to language understanding in natural language processing (NLP). From the…
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Keywords:
knowledge;
natural language;
bowman;
language understanding ... See more keywords
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Published in 2021 at "IEEE Internet Computing"
DOI: 10.1109/mic.2021.3101919
Abstract: AI systems have seen significant adoption in various domains. At the same time, further adoption in some domains is hindered by the inability to fully trust an AI system that it will not harm a…
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Keywords:
knowledge intensive;
intensive language;
system;
knowledge ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3100397
Abstract: Artificial intelligence shows promising efforts in collaborating the language models with the artificial intelligence of things (AIoT), promoting the edging intelligence on natural language understanding. To adapt to the limited computational resources in AIoT, the…
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Keywords:
intelligence;
language understanding;
language;
artificial intelligence ... See more keywords
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Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2025.3528394
Abstract: Recently, video-language understanding has achieved great success through large-scale pre-training. However, data scarcity remains a prevailing challenge. This study quantitatively reveals an “impossible trinity” among data quantity, diversity, and quality in pre-training datasets. Recent efforts…
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Keywords:
video;
video dataflywheel;
video language;
language understanding ... See more keywords
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Published in 2022 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2023.3236380
Abstract: Benchmark datasets play an important role in evaluating Natural Language Understanding (NLU) models. However, shortcuts-unwanted biases in the benchmark datasets-can damage the effectiveness of benchmark datasets in revealing models' real capabilities. Since shortcuts vary in…
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Keywords:
language understanding;
benchmark;
benchmark datasets;
visual analytics ... See more keywords
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Published in 2023 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2023.1015227
Abstract: Objective The aim of the present study was to assess the validity of the Ease of Language Understanding (ELU) model through a statistical assessment of the relationships among its main parameters: processing speed, phonology, working…
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Keywords:
snr given;
listening conditions;
language understanding;
phonology ... See more keywords
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Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15073702
Abstract: Low-resource natural language understanding is one of the challenges in the field of language understanding. As natural language processing and natural language understanding take center stage in machine learning, these challenges need solutions more than…
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Keywords:
methodology;
natural language;
language understanding;
language ... See more keywords