Search Results for author: Kyusong Lee

Found 16 papers, 2 papers with code

When is it permissible for artificial intelligence to lie? A trust-based approach

no code implementations9 Mar 2021 Tae Wan Kim, Tong, Lu, Kyusong Lee, Zhaoqi Cheng, Yanhan Tang, John Hooker

Conversational Artificial Intelligence (AI) used in industry settings can be trained to closely mimic human behaviors, including lying and deception.


SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering

no code implementations EACL 2021 Xiaopeng Lu, Kyusong Lee, Tiancheng Zhao

Although open-domain question answering (QA) draws great attention in recent years, it requires large amounts of resources for building the full system and is often difficult to reproduce previous results due to complex configurations.

Open-Domain Question Answering

VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words

no code implementations ACL 2021 Xiaopeng Lu, Tiancheng Zhao, Kyusong Lee

To the best of our knowledge, VisualSparta is the first transformer-based text-to-image retrieval model that can achieve real-time searching for large-scale datasets, with significant accuracy improvement compared to previous state-of-the-art methods.

Cross-Modal Information Retrieval Cross-Modal Retrieval +3

Talk to Papers: Bringing Neural Question Answering to Academic Search

1 code implementation ACL 2020 Tianchang Zhao, Kyusong Lee

We introduce Talk to Papers, which exploits the recent open-domain question answering (QA) techniques to improve the current experience of academic search.

Open-Domain Question Answering

DialCrowd: A toolkit for easy dialog system assessment

no code implementations WS 2018 Kyusong Lee, Tiancheng Zhao, Alan W. black, Maxine Eskenazi

When creating a dialog system, developers need to test each version to ensure that it is performing correctly.


DialPort: Connecting the Spoken Dialog Research Community to Real User Data

no code implementations8 Jun 2016 Tiancheng Zhao, Kyusong Lee, Maxine Eskenazi

This paper describes a new spoken dialog portal that connects systems produced by the spoken dialog academic research community and gives them access to real users.

Grammatical Error Annotation for Korean Learners of Spoken English

no code implementations LREC 2012 Hongsuck Seo, Kyusong Lee, Gary Geunbae Lee, Soo-Ok Kweon, Hae-Ri Kim

The goal of our research is to build a grammatical error-tagged corpus for Korean learners of Spoken English dubbed Postech Learner Corpus.

Grammatical Error Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.