activity
20182022
most citedEffective Sentence Scoring Method using Bidirectional Language Model for Speech Recognition

3 citations · 4 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CL2022

External Knowledge Selection with Weighted Negative Sampling in Knowledge-grounded Task-oriented Dialogue Systems

Janghoon Han, Joongbo Shin, Hosung Song +4

Constructing a robust dialogue system on spoken conversations bring more challenge than written conversation. In this respect, DSTC10-Track2-Task2 is proposed, which aims to build…

cs.CL2020

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…

cs.CL20201 cited

Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning

Joongbo Shin, Yoonhyung Lee, Seunghyun Yoon +1

Even though BERT achieves successful performance improvements in various supervised learning tasks, applying BERT for unsupervised tasks still holds a limitation that it requires r…

cs.CL20193 cited

Effective Sentence Scoring Method using Bidirectional Language Model for Speech Recognition

Joongbo Shin, Yoonhyung Lee, Kyomin Jung

In automatic speech recognition, many studies have shown performance improvements using language models (LMs). Recent studies have tried to use bidirectional LMs (biLMs) instead of…

cs.CL2018

Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder

Seunghyun Yoon, Kunwoo Park, Joongbo Shin +4

Some news headlines mislead readers with overrated or false information, and identifying them in advance will better assist readers in choosing proper news stories to consume. This…

cs.CL2018

Improving Neural Question Generation using Answer Separation

Yanghoon Kim, Hwanhee Lee, Joongbo Shin +1

Neural question generation (NQG) is the task of generating a question from a given passage with deep neural networks. Previous NQG models suffer from a problem that a significant p…