Runxin Xu
NLP researcher.
Frame semantic parsing is a fundamental NLP task, which consists of thre...
Most previous studies aim at extracting events from a single sentence, w...
As Abstract Meaning Representation (AMR) implicitly involves compound
se...
Pre-trained language models (PLMs) like BERT have made significant progr...
Structured pruning has been extensively studied on monolingual pre-train...
Pre-trained Language Models (PLMs) have achieved remarkable performance ...
Label smoothing and vocabulary sharing are two widely used techniques in...
Pre-trained Language Models (PLMs) have achieved great success in variou...
Few-Shot Sequence Labeling (FSSL) is a canonical solution for the taggin...
Recent pretrained language models extend from millions to billions of
pa...
Few-Shot Event Classification (FSEC) aims at developing a model for even...
Aspect Sentiment Triplet Extraction (ASTE) aims to recognize targets, th...
Document-level event extraction aims to recognize event information from...
In this paper, we describe our submissions to the WMT20 shared task on
p...
Document-level relation extraction aims to extract relations among entit...
This paper proposes the building of Xiaomingbot, an intelligent, multili...
Due to its simplicity and outstanding ability to generalize, stochastic
...
Adaptive gradient methods have attracted much attention of machine learn...