13 citations · 63 across the 17 of their papers we have counts for
20 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…
End-to-end Neural Coreference Resolution Revisited: A Simple yet Effective Baseline
Tuan Manh Lai, Trung Bui, Doo Soon Kim
Since the first end-to-end neural coreference resolution model was introduced, many extensions to the model have been proposed, ranging from using higher-order inference to directl…
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…
Understanding Points of Correspondence between Sentences for Abstractive Summarization
Logan Lebanoff, John Muchovej, Franck Dernoncourt +4
Fusing sentences containing disparate content is a remarkable human ability that helps create informative and succinct summaries. Such a simple task for humans has remained challen…
Efficient Deployment of Conversational Natural Language Interfaces over Databases
Anthony Colas, Trung Bui, Franck Dernoncourt +2
Many users communicate with chatbots and AI assistants in order to help them with various tasks. A key component of the assistant is the ability to understand and answer a user's n…
KPQA: A Metric for Generative Question Answering Using Keyphrase Weights
Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt +4
In the automatic evaluation of generative question answering (GenQA) systems, it is difficult to assess the correctness of generated answers due to the free-form of the answer. Esp…
DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator
Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt +3
Audio Visual Scene-aware Dialog (AVSD) is the task of generating a response for a question with a given scene, video, audio, and the history of previous turns in the dialog. Existi…
A Multimodal Dialogue System for Conversational Image Editing
Tzu-Hsiang Lin, Trung Bui, Doo Soon Kim +1
In this paper, we present a multimodal dialogue system for Conversational Image Editing. We formulate our multimodal dialogue system as a Partially Observed Markov Decision Process…
Adjusting Image Attributes of Localized Regions with Low-level Dialogue
Tzu-Hsiang Lin, Alexander Rudnicky, Trung Bui +2
Natural Language Image Editing (NLIE) aims to use natural language instructions to edit images. Since novices are inexperienced with image editing techniques, their instructions ar…
TutorialVQA: Question Answering Dataset for Tutorial Videos
Anthony Colas, Seokhwan Kim, Franck Dernoncourt +3
Despite the number of currently available datasets on video question answering, there still remains a need for a dataset involving multi-step and non-factoid answers. Moreover, rel…
Analyzing Sentence Fusion in Abstractive Summarization
Logan Lebanoff, John Muchovej, Franck Dernoncourt +4
While recent work in abstractive summarization has resulted in higher scores in automatic metrics, there is little understanding on how these systems combine information taken from…
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks
Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim +2
In this study, we propose a novel graph neural network called propagate-selector (PS), which propagates information over sentences to understand information that cannot be inferred…
Scoring Sentence Singletons and Pairs for Abstractive Summarization
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt +4
When writing a summary, humans tend to choose content from one or two sentences and merge them into a single summary sentence. However, the mechanisms behind the selection of one o…
A Compare-Aggregate Model with Latent Clustering for Answer Selection
Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim +2
In this paper, we propose a novel method for a sentence-level answer-selection task that is a fundamental problem in natural language processing. First, we explore the effect of ad…
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
Arman Cohan, Franck Dernoncourt, Doo Soon Kim +4
Neural abstractive summarization models have led to promising results in summarizing relatively short documents. We propose the first model for abstractive summarization of single,…
Detecting Table Region in PDF Documents Using Distant Supervision
Miao Fan, Doo Soon Kim
Superior to state-of-the-art approaches which compete in table recognition with 67 annotated government reports in PDF format released by {\it ICDAR 2013 Table Competition}, this p…