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 …

Matching plays a vital role in the rational allocation of resources in many areas, ranging from
market operation to people's daily lives. In economics, the term matching theory is coined for …

Universally modeling all typical information extraction tasks (UIE) with one generative
language model (GLM) has revealed great potential by the latest study, where various IE …

Dependency trees have been intensively used with graph neural networks for aspect-based
sentiment classification. Though being effective, such methods rely on external dependency …

We propose to compose dynamic tree structures that place the objects in an image into a
visual context, helping visual reasoning tasks such as scene graph generation and visual …

Deep learning has improved performance on many natural language processing (NLP)
tasks individually. However, general NLP models cannot emerge within a paradigm that …

Natural language is hierarchically structured: smaller units (eg, phrases) are nested within
larger units (eg, clauses). When a larger constituent ends, all of the smaller constituents that …

Although Transformer has achieved great successes on many NLP tasks, its heavy structure
with fully-connected attention connections leads to dependencies on large training data. In …

Many recent state-of-the-art recommender systems such as D-ATT, TransNet and
DeepCoNN exploit reviews for representation learning. This paper proposes a new neural …

Aspect-level sentiment analysis aims to recognize the sentiment polarity of an aspect or a
target in a comment. Recently, graph convolutional networks based on linguistic …