Resolving semantic ambiguity has long been recognised as a central chall...
Foundational large language models (LLMs) can be instruction-tuned to de...
Large language models have shown surprising performances in understandin...
This paper introduces PMIndiaSum, a new multilingual and massively paral...
Advances in natural language processing, such as transfer learning from
...
The University of Edinburgh participated in the WMT22 shared task on
cod...
Recent advances in the field of abstractive summarization leverage
pre-t...
We train a dual-way neural dictionary to guess words from definitions
(r...
Machine translation systems are vulnerable to domain mismatch, especiall...
Supervised Chinese word segmentation has been widely approached as seque...