In this work, we focus on a more challenging few-shot intent detection
s...
With the explosive growth of livestream broadcasting, there is an urgent...
Event coreference resolution is an important research problem with many
...
Acronyms and abbreviations are the short-form of longer phrases and they...
Acronyms are the short forms of longer phrases and they are frequently u...
The ability to fuse sentences is highly attractive for summarization sys...
We present an empirical study in favor of a cascade architecture to neur...
Structured representations like graphs and parse trees play a crucial ro...
We present an elegant and effective approach for addressing limitations ...
Recent works have shown that generative data augmentation, where synthet...
Recent works have shown that generative data augmentation, where synthet...
Attention mechanisms have improved the performance of NLP tasks while
pr...
While recent work in abstractive summarization has resulted in higher sc...
When writing a summary, humans tend to choose content from one or two
se...
Complex design tasks often require performing diverse actions in a speci...
This work presents the task of modifying images in an image editing prog...
Neural abstractive summarization models have led to promising results in...
Answering open-ended questions is an essential capability for any intell...
Motivated by the application of fact-level image understanding, we prese...
We study scalable and uniform understanding of facts in images. Existing...