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Natural language processing (Computer science)
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Until recently, there were two main ways of obtaining information about words and expressions. The first was to analyze large text data sets (corpora) and calculate the frequency with which words and phrases occur, as well as the typical contexts in which they occur. The second was to ask participants to provide subjective information about words and phrases, such as the familiarity of the stimuli or the age at which they are typically acquired. The development of large language models has given us a third option. Instead of asking participants for information, we can query large language models. The results show that the information obtained from those models is just as good and often even better than the information obtained from people, especially when the model is tuned to a few thousand stimuli.
Event date: 30/05/2025
Speaker: Prof. Marc BRYSBAERT
Hosted by: Faculty of Humanities
- Subjects:
- Language and Languages
- Keywords:
- Psycholinguistics Natural language processing (Computer science) Psycholinguistics -- Research
- Resource Type:
- Video
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Video
In this webinar, we present a selection of AI tools that are currently available, explain how to access them, and consider some potential uses of the tools in an educational setting.
Event Date: 31/3/2023
Facilitator(s): Darren Harbutt (EDC), Dick Chan (EDC), Jacky Chau (EDC), Anthony Ho (EDC)
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Video
Welcome to Zero to Hero for Natural Language Processing using TensorFlow! If you’re not an expert on AI or ML, don’t worry -- we’re taking the concepts of NLP and teaching them from first principles with our host Laurence Moroney.
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Natural language processing (Computer science) Machine learning
- Resource Type:
- Video
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Video
This youtube playlist included the topic of deep learning for human language processing, linear algebra, deep reinforcement learning, generative adversarial network, deep learning theory, structured learning, and machine learning.
- Course related:
- LGT6801 Guided Study in Logistics I
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Machine learning Natural language processing (Computer science)
- Resource Type:
- Video
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Others
Distinguish yourself by learning to work with text data.
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Natural language processing (Computer science) Python (Computer program language)
- Resource Type:
- Others