Large language models (LLMs) with billions of parameters have demonstrat...
Extracting sentiment elements using pre-trained generative models has
re...
It is well known that translations generated by an excellent document-le...
Causal relation extraction of biomedical entities is one of the most com...
Pre-trained masked language models have demonstrated remarkable ability ...
Various neural-based methods have been proposed so far for joint mention...
In the literature, the research on abstract meaning representation (AMR)...
Due to its great importance in deep natural language understanding and
v...
Neural conversation models such as encoder-decoder models are easy to
ge...
Recently, neural networks have shown promising results on Document-level...
Recent studies on AMR-to-text generation often formalize the task as a
s...
There have been a recent line of works to automatically predict the emot...
Sentences in a well-formed text are connected to each other via various ...
Even though a linguistics-free sequence to sequence model in neural mach...