research
∙
09/13/2021
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
In this work, we focus on a more challenging few-shot intent detection s...
share
research
∙
09/11/2021
StreamHover: Livestream Transcript Summarization and Annotation
With the explosive growth of livestream broadcasting, there is an urgent...
research
∙
04/04/2021
A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution
Event coreference resolution is an important research problem with many ...
research
∙
01/25/2021
MadDog: A Web-based System for Acronym Identification and Disambiguation
Acronyms and abbreviations are the short-form of longer phrases and they...
research
∙
12/22/2020
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding
Acronyms are the short forms of longer phrases and they are frequently u...
research
∙
10/08/2020
Learning to Fuse Sentences with Transformers for Summarization
The ability to fuse sentences is highly attractive for summarization sys...
research
∙
10/08/2020
A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion
We present an empirical study in favor of a cascade architecture to neur...
research
∙
10/06/2020
Scene Graph Modification Based on Natural Language Commands
Structured representations like graphs and parse trees play a crucial ro...
research
∙
05/18/2020
Interaction Matching for Long-Tail Multi-Label Classification
We present an elegant and effective approach for addressing limitations ...
research
∙
01/23/2020
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
Recent works have shown that generative data augmentation, where synthet...
research
∙
01/23/2020
Variational Hierarchical Dialog Autoencoder for Dialogue State Tracking Data Augmentation
Recent works have shown that generative data augmentation, where synthet...
research
∙
11/10/2019
Rethinking Self-Attention: An Interpretable Self-Attentive Encoder-Decoder Parser
Attention mechanisms have improved the performance of NLP tasks while pr...
research
∙
10/01/2019
Analyzing Sentence Fusion in Abstractive Summarization
While recent work in abstractive summarization has resulted in higher sc...
research
∙
05/31/2019
Scoring Sentence Singletons and Pairs for Abstractive Summarization
When writing a summary, humans tend to choose content from one or two se...
research
∙
04/18/2019
Creative Procedural-Knowledge Extraction From Web Design Tutorials
Complex design tasks often require performing diverse actions in a speci...
research
∙
12/03/2018
A System for Automated Image Editing from Natural Language Commands
This work presents the task of modifying images in an image editing prog...
research
∙
04/16/2018
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
Neural abstractive summarization models have led to promising results in...
research
∙
10/20/2016
Proposing Plausible Answers for Open-ended Visual Question Answering
Answering open-ended questions is an essential capability for any intell...
research
∙
04/02/2016
Automatic Annotation of Structured Facts in Images
Motivated by the application of fact-level image understanding, we prese...
research
∙
11/16/2015
