Search Results for author: Seung-won Hwang

Found 30 papers, 8 papers with code

Robustifying Multi-hop QA through Pseudo-Evidentiality Training

no code implementations7 Jul 2021 Kyungjae Lee, Seung-won Hwang, Sang-eun Han, Dohyeon Lee

This paper studies the bias problem of multi-hop question answering models, of answering correctly without correct reasoning.

Multi-hop Question Answering Question Answering

Query Generation for Multimodal Documents

no code implementations EACL 2021 Kyungho Kim, Kyungjae Lee, Seung-won Hwang, Young-In Song, SeungWook Lee

This paper studies the problem of generatinglikely queries for multimodal documents withimages.

Meta-path Free Semi-supervised Learning for Heterogeneous Networks

no code implementations18 Oct 2020 Shin-woo Park, Byung Jun Bae, Jinyoung Yeo, Seung-won Hwang

Graph neural networks (GNNs) have been widely used in representation learning on graphs and achieved superior performance in tasks such as node classification.

Node Classification Representation Learning

SQuAD2-CR: Semi-supervised Annotation for Cause and Rationales for Unanswerability in SQuAD 2.0

no code implementations LREC 2020 Gyeongbok Lee, Seung-won Hwang, Hyunsouk Cho

Existing machine reading comprehension models are reported to be brittle for adversarially perturbed questions when optimizing only for accuracy, which led to the creation of new reading comprehension benchmarks, such as SQuAD 2. 0 which contains such type of questions.

Machine Reading Comprehension

NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions

no code implementations IJCNLP 2019 Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim

Here we describe a new NL2pSQL task to generate pSQL codes from natural language questions on under-specified database issues, NL2pSQL.

Denoising

Evaluating Research Novelty Detection: Counterfactual Approaches

no code implementations WS 2019 Reinald Kim Amplayo, Seung-won Hwang, Min Song

We find the novelty is not a singular concept, and thus inherently lacks of ground truth annotations with cross-annotator agreement, which is a major obstacle in evaluating these models.

Feature Selection

Text Length Adaptation in Sentiment Classification

1 code implementation18 Sep 2019 Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang

We propose a state-of-the-art CLT model called Length Transfer Networks (LeTraNets) that introduces a two-way encoding scheme for short and long texts using multiple training mechanisms.

General Classification Sentiment Analysis +1

Soft Representation Learning for Sparse Transfer

no code implementations ACL 2019 Haeju Park, Jinyoung Yeo, Gengyu Wang, Seung-won Hwang

Transfer learning is effective for improving the performance of tasks that are related, and Multi-task learning (MTL) and Cross-lingual learning (CLL) are important instances.

Multi-Task Learning Representation Learning

KBQA: Learning Question Answering over QA Corpora and Knowledge Bases

no code implementations6 Mar 2019 Wanyun Cui, Yanghua Xiao, Haixun Wang, Yangqiu Song, Seung-won Hwang, Wei Wang

Based on these templates, our QA system KBQA effectively supports binary factoid questions, as well as complex questions which are composed of a series of binary factoid questions.

Question Answering

Categorical Metadata Representation for Customized Text Classification

2 code implementations TACL 2019 Jihyeok Kim, Reinald Kim Amplayo, Kyungjae Lee, Sua Sung, Minji Seo, Seung-won Hwang

The performance of text classification has improved tremendously using intelligently engineered neural-based models, especially those injecting categorical metadata as additional information, e. g., using user/product information for sentiment classification.

Ranked #2 on Sentiment Analysis on User and product information (Yelp 2013 (Acc) metric)

General Classification Sentiment Analysis +2

QADiver: Interactive Framework for Diagnosing QA Models

no code implementations1 Dec 2018 Gyeongbok Lee, Sungdong Kim, Seung-won Hwang

Question answering (QA) extracting answers from text to the given question in natural language, has been actively studied and existing models have shown a promise of outperforming human performance when trained and evaluated with SQuAD dataset.

Question Answering

AutoSense Model for Word Sense Induction

1 code implementation22 Nov 2018 Reinald Kim Amplayo, Seung-won Hwang, Min Song

Thus, we aim to eliminate these requirements and solve the sense granularity problem by proposing AutoSense, a latent variable model based on two observations: (1) senses are represented as a distribution over topics, and (2) senses generate pairings between the target word and its neighboring word.

Latent Variable Models Word Sense Induction

Adversarial TableQA: Attention Supervision for Question Answering on Tables

no code implementations18 Oct 2018 Minseok Cho, Reinald Kim Amplayo, Seung-won Hwang, Jonghyuck Park

The same question has not been asked in the table question answering (TableQA) task, where we are tasked to answer a query given a table.

Question Answering

Mining Cross-Cultural Differences and Similarities in Social Media

no code implementations ACL 2018 Bill Yuchen Lin, Frank F. Xu, Kenny Zhu, Seung-won Hwang

Cross-cultural differences and similarities are common in cross-lingual natural language understanding, especially for research in social media.

Machine Translation Natural Language Understanding +1

Entity Commonsense Representation for Neural Abstractive Summarization

1 code implementation NAACL 2018 Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang

To this end, we leverage on an off-the-shelf entity linking system (ELS) to extract linked entities and propose Entity2Topic (E2T), a module easily attachable to a sequence-to-sequence model that transforms a list of entities into a vector representation of the topic of the summary.

Abstractive Text Summarization Entity Linking

Aspect Sentiment Model for Micro Reviews

1 code implementation14 Jun 2018 Reinald Kim Amplayo, Seung-won Hwang

This paper aims at an aspect sentiment model for aspect-based sentiment analysis (ABSA) focused on micro reviews.

Aspect-Based Sentiment Analysis Document-level +1

Cold-Start Aware User and Product Attention for Sentiment Classification

1 code implementation ACL 2018 Reinald Kim Amplayo, Jihyeok Kim, Sua Sung, Seung-won Hwang

The use of user/product information in sentiment analysis is important, especially for cold-start users/products, whose number of reviews are very limited.

General Classification Sentiment Analysis

Verb Pattern: A Probabilistic Semantic Representation on Verbs

no code implementations20 Oct 2017 Wanyun Cui, Xiyou Zhou, Hangyu Lin, Yanghua Xiao, Haixun Wang, Seung-won Hwang, Wei Wang

In this paper, we introduce verb patterns to represent verbs' semantics, such that each pattern corresponds to a single semantic of the verb.

Entity Suggestion by Example using a Conceptual Taxonomy

no code implementations29 Nov 2015 Yi Zhang, Yanghua Xiao, Seung-won Hwang, Haixun Wang, X. Sean Wang, Wei Wang

This paper provides a query processing method based on the relevance models between entity sets and concepts.

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