2021

  1. Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring Linzi Xing, and Giuseppe Carenini In Proceedings of SIGDIAL 2021, Singapore [PDF]
  2. Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning Linzi Xing*, Wen Xiao*, and Giuseppe Carenini In Proceedings of ACL-IJCNLP 2021, Bangkok, Thailand [PDF]

2020

  1. Improving Context Modeling in Neural Topic Segmentation Linzi Xing, Brad Hackinen, Giuseppe Carenini, and Francesco Trebbi In Proceedings of AACL-IJCNLP 2020, Suzhou, China [PDF]
  2. Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition Xiaolei Huang, Linzi Xing, Franck Dernoncourt, and Michael J. Paul In Proceedings of LREC 2020, Marseille, France [PDF]

2019

  1. Evaluating Topic Quality with Posterior Variability Linzi Xing, Michael J. Paul, and Giuseppe Carenini In Proceedings of EMNLP-IJCNLP 2019, Hong Kong, China [PDF] [Poster]

2018

  1. Diagnosing and Improving Topic Models by Analyzing Posterior Variability Linzi Xing, and Michael J. Paul In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, USA [PDF] [Poster]

2017

  1. Incorporating Metadata into Content-Based User Embeddings Linzi Xing, and Michael J. Paul In Proceedings of the 3rd Workshop on Noisy User-generated Text (W-NUT), Copenhagen, Denmark [PDF]
  2. Exploring Timelines of Confirmed Suicide Incidents through Social Media Xiaolei Huang, Linzi Xing, Jed R. Brubaker, and Michael J. Paul In Proceedings of IEEE International Conference on Healthcare Informatics (ICHI), Utah, USA [PDF] [Poster]