8 citations · 24 across the 9 of their papers we have counts for
18 papers
CAISE: Conversational Agent for Image Search and Editing
Hyounghun Kim, Doo Soon Kim, Seunghyun Yoon +3
Demand for image editing has been increasing as users' desire for expression is also increasing. However, for most users, image editing tools are not easy to use since the tools re…
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering
Meryem M'hamdi, Doo Soon Kim, Franck Dernoncourt +3
Multilingual models, such as M-BERT and XLM-R, have gained increasing popularity, due to their zero-shot cross-lingual transfer learning capabilities. However, their generalization…
AutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises
Nham Le, Tuan Lai, Trung Bui +1
With the renaissance of deep learning, neural networks have achieved promising results on many natural language understanding (NLU) tasks. Even though the source codes of many neur…
A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents
Tuan Manh Lai, Trung Bui, Doo Soon Kim +1
Keyphrase extraction is the task of extracting a small set of phrases that best describe a document. Most existing benchmark datasets for the task typically have limited numbers of…
Learning to Fuse Sentences with Transformers for Summarization
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim +3
The ability to fuse sentences is highly attractive for summarization systems because it is an essential step to produce succinct abstracts. However, to date, summarizers can fail o…
A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim +2
We present an empirical study in favor of a cascade architecture to neural text summarization. Summarization practices vary widely but few other than news summarization can provide…