Search Results for author: Chan Young Park

Found 10 papers, 5 papers with code

TalkUp: A Novel Dataset Paving the Way for Understanding Empowering Language

1 code implementation23 May 2023 Lucille Njoo, Chan Young Park, Octavia Stappart, Marvin Thielk, Yi Chu, Yulia Tsvetkov

Empowering language is important in many real-world contexts, from education to workplace dynamics to healthcare.

Analyzing Norm Violations in Live-Stream Chat

no code implementations18 May 2023 Jihyung Moon, Dong-Ho Lee, Hyundong Cho, Woojeong Jin, Chan Young Park, Minwoo Kim, Jonathan May, Jay Pujara, Sungjoon Park

Previous approaches to detecting toxic language and norm violations have been primarily concerned with conversations from online forums and social media, such as Reddit and Twitter.

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

no code implementations15 May 2023 Shangbin Feng, Chan Young Park, YuHan Liu, Yulia Tsvetkov

We focus on hate speech and misinformation detection, aiming to empirically quantify the effects of political (social, economic) biases in pretraining data on the fairness of high-stakes social-oriented tasks.

Fairness Misinformation

Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media

no code implementations24 May 2022 Chan Young Park, Julia Mendelsohn, Anjalie Field, Yulia Tsvetkov

NLP research on public opinion manipulation campaigns has primarily focused on detecting overt strategies such as fake news and disinformation.

Controlled Analyses of Social Biases in Wikipedia Bios

1 code implementation31 Dec 2020 Anjalie Field, Chan Young Park, Kevin Z. Lin, Yulia Tsvetkov

In this work, we present a methodology for analyzing Wikipedia pages about people that isolates dimensions of interest (e. g., gender), from other attributes (e. g., occupation).

Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia

no code implementations21 Oct 2020 Chan Young Park, Xinru Yan, Anjalie Field, Yulia Tsvetkov

Specific lexical choices in narrative text reflect both the writer's attitudes towards people in the narrative and influence the audience's reactions.

Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks

1 code implementation EACL 2021 Jimin Sun, Hwijeen Ahn, Chan Young Park, Yulia Tsvetkov, David R. Mortensen

Much work in cross-lingual transfer learning explored how to select better transfer languages for multilingual tasks, primarily focusing on typological and genealogical similarities between languages.

Cross-Lingual Transfer Dependency Parsing +2

Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation

no code implementations WS 2019 Chan Young Park, Yulia Tsvetkov

In this paper, we introduce a phrase-based NMT model built upon continuous-output NMT, in which the decoder generates embeddings of words or phrases.

Machine Translation NMT +1

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