Search Results for author: Hung-Yu Kao

Found 21 papers, 9 papers with code

Measuring Alignment to Authoritarian State Media as Framing Bias

1 code implementation NLP4IF (COLING) 2020 Timothy Niven, Hung-Yu Kao

We introduce what is to the best of our knowledge a new task in natural language processing: measuring alignment to authoritarian state media.

Selection bias

CFEVER: A Chinese Fact Extraction and VERification Dataset

no code implementations20 Feb 2024 Ying-Jia Lin, Chun-Yi Lin, Chia-Jen Yeh, Yi-Ting Li, Yun-Yu Hu, Chih-Hao Hsu, Mei-Feng Lee, Hung-Yu Kao

Similar to the FEVER dataset, claims in the "Supports" and "Refutes" categories are also annotated with corresponding evidence sentences sourced from single or multiple pages in Chinese Wikipedia.

Fact Checking

ELECTRA is a Zero-Shot Learner, Too

1 code implementation17 Jul 2022 Shiwen Ni, Hung-Yu Kao

Numerically, compared to MLM-RoBERTa-large and MLM-BERT-large, our RTD-ELECTRA-large has an average of about 8. 4% and 13. 7% improvement on all 15 tasks.

Language Modelling SST-2 +1

True or False: Does the Deep Learning Model Learn to Detect Rumors?

no code implementations1 Dec 2021 Shiwen Ni, Jiawen Li, Hung-Yu Kao

It is difficult for humans to distinguish the true and false of rumors, but current deep learning models can surpass humans and achieve excellent accuracy on many rumor datasets.

Common Sense Reasoning

DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks

1 code implementation29 Aug 2021 Shiwen Ni, Jiawen Li, Hung-Yu Kao

We compare the proposed method with other adversarial training methods and regularization methods, and our method achieves state-of-the-art on all datasets.

Adversarial Attack Adversarial Defense

HAT4RD: Hierarchical Adversarial Training for Rumor Detection on Social Media

no code implementations29 Aug 2021 Shiwen Ni, Jiawen Li, Hung-Yu Kao

As such, the robustness and generalization of the current rumor detection model are put into question.

Exploiting Microblog Conversation Structures to Detect Rumors

no code implementations COLING 2020 Jiawen Li, Yudianto Sujana, Hung-Yu Kao

Twitter users communicate by replying to other users{'} messages, forming a conversation structure.

valid

BERT-Based Neural Collaborative Filtering and Fixed-Length Contiguous Tokens Explanation

no code implementations Asian Chapter of the Association for Computational Linguistics 2020 Reinald Adrian Pugoy, Hung-Yu Kao

First is their utilization of traditional word embeddings that could influence prediction performance due to their inability to model the word semantics{'} dynamic characteristic.

Collaborative Filtering Recommendation Systems +1

Fill the GAP: Exploiting BERT for Pronoun Resolution

1 code implementation WS 2019 Kai-Chou Yang, Timothy Niven, Tzu Hsuan Chou, Hung-Yu Kao

In this paper, we describe our entry in the gendered pronoun resolution competition which achieved fourth place without data augmentation.

Coreference Resolution Data Augmentation +1

Detecting Argumentative Discourse Acts with Linguistic Alignment

1 code implementation WS 2019 Timothy Niven, Hung-Yu Kao

We report the results of preliminary investigations into the relationship between linguistic alignment and dialogical argumentation at the level of discourse acts.

Probing Neural Network Comprehension of Natural Language Arguments

1 code implementation ACL 2019 Timothy Niven, Hung-Yu Kao

We are surprised to find that BERT's peak performance of 77% on the Argument Reasoning Comprehension Task reaches just three points below the average untrained human baseline.

SOC: hunting the underground inside story of the ethereum Social-network Opinion and Comment

no code implementations27 Nov 2018 TonTon Hsien-De Huang, Po-Wei Hong, Ying-Tse Lee, Yi-Lun Wang, Chi-Leong Lok, Hung-Yu Kao

Ethereum is gaining a significant popularity in blockchain community, mainly due to the fact that it is designed in a way that enables developers to write smart contracts and decentralized applications (Dapps).

Sentiment Analysis

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