Key information extraction involves recognizing and extracting text from...
Determining and measuring diversity in news articles is important for a
...
Temporal commonsense reasoning refers to the ability to understand the
t...
Open-domain question answering (QA) tasks usually require the retrieval ...
Answering questions related to the legal domain is a complex task, prima...
Archive collections are nowadays mostly available through search engines...
The internet has had a dramatic effect on the healthcare industry, allow...
Environmental, social and governance (ESG) engagement of companies moved...
Time is an important aspect of text documents, which has been widely
exp...
The problem of Question Answering (QA) has attracted significant researc...
The amount of scholarly data has been increasing dramatically over the l...
The new era of technology has brought us to the point where it is conven...
In the last few years, open-domain question answering (ODQA) has advance...
Conversation generation as a challenging task in Natural Language Genera...
In the question answering(QA) task, multi-hop reasoning framework has be...
Developing link prediction models to automatically complete knowledge gr...
Knowledge graphs are essential for numerous downstream natural language
...
Significant development of communication technology over the past few ye...
ECIR 2020 https://ecir2020.org/ was one of the many conferences affected...
Event extraction (EE) is one of the core information extraction tasks, w...
Citation recommendation describes the task of recommending citations for...
Our languages are in constant flux driven by external factors such as
cu...
The World Wide Web conference is a well-established and mature venue wit...