The Gumbel-max trick is a method to draw a sample from a categorical distribution, given by
its unnormalized (log-) probabilities. Over the past years, the machine learning community …

Event Detection (ED) aims to recognize mentions of events (ie, event triggers) and their
types in text. Recently, several ED datasets in various domains have been proposed …

Motivation: The scientific literature embeds an enormous amount of relational knowledge,
encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …

We study the problem of cross-lingual transfer learning for event detection (ED) where
models trained on a source language are expected to perform well on data for a new target …

Due to the multi-dimensional variation of textual data, detection of event triggers from new
domains can become a lot more challenging. This prompts a need to research on domain …

RNA-binding proteins (RBPs) play crucial roles in gene regulation. The advent of high-
throughput experimental methods, has generated a huge volume of experimentally verified …

Event detection is a particularly challenging problem in information extraction. The current
neural network models have proved that dependency tree can better capture the correlation …

Most of the previous work on Event Detection (ED) has only considered the datasets with a
small number of event types (ie, up to 38 types). In this work, we present the first study on …

Communities have first-hand knowledge about community issues. This study aims to
improve the efficiency of social-technical problem-solving by proposing the concept of" …

Event detection is an important task in the field of natural language processing, which aims
to detect trigger words in a sentence and classify them into specific event types. Event …