The information bottleneck (IB) principle has been proven effective in
v...
Negation and uncertainty modeling are long-standing tasks in natural lan...
In the field of inorganic materials science, there is a growing demand t...
In this paper, we propose a novel edge-editing approach to extract relat...
We propose a multi-task, probabilistic approach to facilitate distantly
...
The synthesis process is essential for achieving computational experimen...
We tackle the nested and overlapping event detection task and propose a ...
Document-level relation extraction is a complex human process that requi...
Inter-sentence relation extraction deals with a number of complex semant...
We present a novel graph-based neural network model for relation extract...
We propose a novel neural method to extract drug-drug interactions (DDIs...
We propose a novel embedding model that represents relationships among
s...
We present a novel end-to-end neural model to extract entities and relat...
We present a novel learning method for word embeddings designed for rela...