Publications

2022

  1. PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization
    Wen Xiao, Iz Beltagy, Giuseppe Carenini, and Arman Cohan
    In ACL 2022
  2. Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation
    Raymond Li, Wen Xiao, Linzi Xing, Lanjun Wang, Gabriel Murray, and Giuseppe Carenini
    In EMNLP 2022
  3. Entity-based SpanCopy for Abstractive Summarization to Improve the Factual Consistency
    Wen Xiao, and Giuseppe Carenini
    2022
  4. Attend to the Right Context: A Plug-and-Play Module for Content-Controllable Summarization
    Wen Xiao, Lesly Miculicich, Yang Liu, Pengcheng He, and Giuseppe Carenini
    2022

2021

  1. KW-ATTN: Knowledge Infused Attention for Accurate and Interpretable Text Classification
    Hyeju Jang, Seojin Bang, Wen Xiao, Giuseppe Carenini, Raymond Ng, and Young Lee
    In DeeLIO at NAACL 2021
  2. Predicting Discourse Trees from Transformer-based Neural Summarizers
    In NAACL 2021
  3. Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning
    Linzi Xing*, Wen Xiao*, and Giuseppe Carenini
    In ACL 2021
  4. W-RST: Towards a Weighted RST-style Discourse Framework
    In ACL 2021
  5. T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP
    Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, and Giuseppe Carenini
    In EMNLP (Demo) 2021

2020

  1. Systematically Exploring Redundancy Reduction in Summarizing Long Documents
    Wen Xiao, and Giuseppe Carenini
    In AACL 2020
  2. Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !
    In CODI at EMNLP 2020

2019

  1. Extractive Summarization of Long Documents by Combining Global and Local Context
    Wen Xiao, and Giuseppe Carenini
    In EMNLP 2019
  2. Extractive Summarization of Long Documents by Combining Global and Local Context
    Wen Xiao
    In Master Thesis 2019

2017

  1. Crowdsourcing the Pronunciation of Out-of-Vocabulary Words.
    Sajad Shirali-Shahreza, Pieter Luitjens, Natalie Morcos, Wen Xiao, Zhenghong Qian, and Gerald Penn
    In AAAI Workshop on Crowdsourcing, Deep Learning, and Artificial Intelligence Agents 2017