Although existing machine reading comprehension models are making rapid
...
Tagging based relational triple extraction methods are attracting growin...
Table filling based relational triple extraction methods are attracting
...
Neural conversation models have shown great potentials towards generatin...
Knowledge-grounded dialogue is a task of generating a fluent and informa...
Tagging based methods are one of the mainstream methods in relational tr...
The multi-format information extraction task in the 2021 Language and
In...
We investigate response selection for multi-turn conversation in
retriev...
Knowledge graph embedding is an important task and it will benefit lots ...
This paper describes our submission to subtask a and b of SemEval-2020 T...
Embedding entities and relations into a continuous multi-dimensional vec...
Knowledge graph is a kind of valuable knowledge base which would benefit...