Existing reference-free turn-level evaluation metrics for chatbots
inade...
Neural information retrieval often adopts a retrieve-and-rerank framewor...
Emerging events, such as the COVID pandemic and the Ukraine Crisis, requ...
A primary objective of news articles is to establish the factual record ...
We show that supervised neural information retrieval (IR) models are pro...
Neural passage retrieval is a new and promising approach in open retriev...
Recently, there has been an increasing interest in building question
ans...
Claim detection and verification are crucial for news understanding and ...
Recent work has shown that commonly available machine reading comprehens...
End-to-end question answering (QA) requires both information retrieval (...
Answer validation in machine reading comprehension (MRC) consists of
ver...
Abstract Meaning Representation (AMR) parsing has experienced a notable
...
Transfer learning techniques are particularly useful in NLP tasks where ...