Extracting various types of event relations in financial texts can benefit many downstream
applications supporting financial analysis. This paper addresses the multi-type event …

Both regularized multi-task learning (RMTL) and direct multi-task twin support vector
machine (DMTSVM) have shown good performances in dealing with multi-task problems …

Sequential data mining is ubiquitous in various scenarios. Modeling event sequence and
predicting event occurrence is of vital importance in sequential data mining, and Temporal …

Script Event Prediction (SEP) aims to predict the subsequent event for a given event chain
from a candidate list. Prior research has achieved great success by integrating external …

In recent years, weighted data is appearing more and more frequent in many applications,
but the existence of anomalies decreases the accuracy of data-based operations, thus, it is …

The accurate measurement of acid concentration, including hydrogen chloride (HCl) and
ferrous chloride concentrations (FeCl 2), is a critical part of ensuring the quality of strip steel …

In this paper, the author proposes a praxeological and epistemological reflection on the
issue of why the phenomenon of" fate" has lost popularity in the 21st century, particularly in …