DL4NLP: Deep Learning for Natural Language Processing
||DL4NLP: Deep Learning for Natural Language Processing|
||Marco Kuhlmann <firstname.lastname@example.org>|
||2022-10-01 – 2023-04-01|
The field of natural language processing (NLP) has enjoyed significant breakthroughs in the last few years with the development of deep neural language models such as BERT and GPT-3. When trained on large amounts of text data, these models are able to learn distributed representations of language meaning, which have been successfully used in a wide range of language understanding tasks.
The NLP Group is currently working on three different research tasks related to deep neural language models: 1. interpreting pre-trained representations; 2. grounding these representations in non-linguistic modalities such as images and video; 3. connecting pre-trained representations to structured representations such as knowledge graphs.