Wei-Fan Chen

Orcid: 0000-0003-3400-6075

Affiliations:
  • University of Bonn, Conversational AI and Social Analytics (CAISA) Lab, Bonn, Germany
  • University of Paderborn, Department of Computer Science, Paderborn, Germany (former, PhD 2024)
  • Bauhaus University Weimar, Faculty of Media, Weimar, Germany (former)
  • Academia Sinica, Institute of Information Science, Taipei, Taiwan (former)


According to our database1, Wei-Fan Chen authored at least 27 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Computational analysis and mitigation of textual media bias
PhD thesis, 2024

Reference-guided Style-Consistent Content Transfer.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2022
Analyzing Culture-Specific Argument Structures in Learner Essays.
Proceedings of the 9th Workshop on Argument Mining, 2022

2021
Controlled Neural Sentence-Level Reframing of News Articles.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Belief-based Generation of Argumentative Claims.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
Webis-News-Bias-20.
Dataset, October, 2020

Webis Abstractive Snippet Corpus 2020.
Dataset, February, 2020

Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.
CoRR, 2020

Abstractive Snippet Generation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Task Proposal: Abstractive Snippet Generation for Web Pages.
Proceedings of the 13th International Conference on Natural Language Generation, 2020

Detecting Media Bias in News Articles using Gaussian Bias Distributions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2018
Webis-Bias-Flipper-18.
Dataset, November, 2018

We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling.
IEEE Trans. Knowl. Data Eng., 2018

Application of Sentiment Analysis to Language Learning.
IEEE Access, 2018

A User Study on Snippet Generation: Text Reuse vs. Paraphrases.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning to Flip the Bias of News Headlines.
Proceedings of the 11th International Conference on Natural Language Generation, 2018

A Plan for Ancillary Copyright: Original Snippets.
Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval co-located with 40th European Conference on Information Retrieval (ECIR 2018), 2018

2017
How to Get Endorsements? Predicting Facebook Likes Using Post Content and User Engagement.
Proceedings of the HCI in Business, Government and Organizations. Supporting Business, 2017

Unit Segmentation of Argumentative Texts.
Proceedings of the 4th Workshop on Argument Mining, 2017

2016
A Computer-Assistance Learning System for Emotional Wording.
IEEE Trans. Knowl. Data Eng., 2016

UTCNN: a Deep Learning Model of Stance Classificationon on Social Media Text.
CoRR, 2016

Chinese Textual Sentiment Analysis: Datasets, Resources and Tools.
Proceedings of the COLING 2016, 2016

WordForce: Visualizing Controversial Words in Debates.
Proceedings of the COLING 2016, 2016

UTCNN: a Deep Learning Model of Stance Classification on Social Media Text.
Proceedings of the COLING 2016, 2016

2015
Topic-Based Stance Mining for Social Media Texts.
Proceedings of the HCI in Business - Second International Conference, 2015

Embarrassed or Awkward? Ranking Emotion Synonyms for ESL Learners' Appropriate Wording.
Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 2015

Mining Supportive and Unsupportive Evidence from Facebook Using Anti-Reconstruction of the Nuclear Power Plant as an Example.
Proceedings of the 2015 AAAI Spring Symposia, 2015


  Loading...