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WikiHow Paper List

Following much of the recent effort to use wikiHow as a learning resource for event understanding, commonsense reasoning, summarization, etc. we are constructing a paper list of research based on wikiHow.

Papers

Event Understanding and Commonsense Reasoning

  1. STEPS: Semantic Typing of Event Processes with a Sequence-to-Sequence Approach.
    Sveva Pepe, Edoardo Barba, Rexhina Blloshmi, Roberto Navigli. (AAAI 2022) [paper]

  2. Rethinking Why Intermediate-Task Fine-Tuning Works.
    Ting-Yun Chang, Chi-Jen Lu. (Findings of EMNLP 2021) [paper]

  3. Effectiveness of Pre-training for Few-shot Intent Classification.
    Haode Zhang, Yuwei Zhang, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi, Xiao-Ming Wu, Albert Y.S. Lam. (Findings of EMNLP 2021) [paper]

  4. Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks.
    Lisa Bauer, Mohit Bansal. (EACL 2021) [paper]

  5. ''What Are You Trying to Do?'' Semantic Typing of Event Processes.
    Muhao Chen, Hongming Zhang, Haoyu Wang, Dan Roth. (CoNLL 2020) [paper][repo]

  6. Analogous Process Structure Induction for Sub-event Sequence Prediction.
    Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, Dan Roth. (EMNLP 2020) [paper][repo]

  7. Reasoning about Goals, Steps, and Temporal Ordering with WikiHow.
    Qing Lyu, Li Zhang, Chris Callison-Burch. (EMNLP 2020) [paper]

  8. Towards Modeling Revision Requirements in wikiHow Instructions.
    Irshad Ahmad Bhat, Talita Rani Anthonio and Michael Roth. (EMNLP 2020) [paper]

  9. Intent Detection with WikiHow.
    Li Zhang, Qing Lyu, Chris Callison-Burch. (AACL-IJCNLP 2020) [paper]

  10. HellaSwag: Can a Machine Really Finish Your Sentence?.
    Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi. (ACL 2019) [paper]

NLG and Summarization

  1. Goal-Oriented Script Construction.
    Qing Lyu, Li Zhang, Chris Callison-Burch. (INLG 2021) [paper]

  2. Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization.
    Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao. (NAACL 2021) [paper]

  3. RefSum: Refactoring Neural Summarization.
    Yixin Liu, Zi-Yi Dou, Pengfei Liu. (NAACL 2021) [paper]

  4. Meta-Transfer Learning for Low-Resource Abstractive Summarization.
    Yi-Syuan Chen, Hong-Han Shuai. (AAAI 2021) [paper]

  5. Extractive Summarization as Text Matching.
    Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang. (ACL 2020) [paper]

  6. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization.
    Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu. (ICML 2020) [paper]

  7. Multi-hop Inference for Question-driven Summarization.
    Yang Deng, Wenxuan Zhang, Wai Lam. (EMNLP 2020) [paper]

  8. Compressive Summarization with Plausibility and Salience Modeling.
    Shrey Desai, Jiacheng Xu, Greg Durrett. (EMNLP 2020) [paper]

  9. KLearn: Background Knowledge Inference from Summarization Data.
    Maxime Peyrard, Robert West. (Findings of EMNLP 2020) [paper]

Language Grounding to Vision

  1. Visual Goal-Step Inference using wikiHow
    Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar, Chris Callison-Burch. (EMNLP 2021) [paper]

  2. Does Vision-and-Language Pretraining Improve Lexical Grounding?
    Tian Yun, Chen Sun, Ellie Pavlick. (Findings of EMNLP 2021) [paper]

  3. VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding.
    Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer. (Findings of ACL 2021) [paper]

  4. Multimodal Pretraining for Dense Video Captioning
    Gabriel Huang1, Bo Pang, Zhenhai Zhu, Clara Rivera, Radu Soricut. (AACL-IJCNLP 2020) [paper]

  5. Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation
    Yansong Tang, Jiwen Lu, Jie Zhou. (TPAMI, 2020) [paper]

  6. Learning to Segment Actions from Observation and Narration
    Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh. (ACL 2020) [paper]

Learning Resources

  1. A Dataset for Tracking Entities in Open Domain Procedural Text
    Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi Mishra, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard Hovy. (EMNLP, 2020) [paper]

  2. WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization.
    Faisal Ladhak, Esin Durmus, Claire Cardie, Kathleen McKeown. (Findings of EMNLP 2020) [paper]

  3. wikiHowToImprove: A Resource and Analyses on Edits in Instructional Texts.
    Talita Anthonio, Irshad Bhat, Michael Roth. (LREC 2020) [paper]

  4. HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips.
    Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, Josef Sivic (ICCV 2019) [paper]

Tutorials

  1. Event-Centric Natural Language Processing
    Muhao Chen, Hongming Zhang, Qiang Ning, Manling Li, Heng Ji, Kathleen McKeown, Dan Roth. (ACL, 2021) [website]

  2. Event-Centric Natural Language Understanding
    Muhao Chen, Hongming Zhang, Qiang Ning, Manling Li, Heng Ji, Dan Roth. (AAAI, 2021) [website]