A paper list of research conducted based on wikiHow
API to extract data from wikiHow
This is the repository for the resources in CoNLL 2020 Paper "What Are You Trying Todo? Semantic Typing of Event Processes"
Official implementation of the ACL Findings 2023 paper: Multimedia Generative Script Learning for Task Planning
Obtains info from WikiHow so you can do whatever with it.
Dataset of Images with Task Annotations
This is a Pytorch implementation of a summarization model that is fine-tuned on the top of Google-T5 pre-trained model.
The dataset is made up of WikiHow articles. We propose a unified multi-class active learning approach for automatically labeling articles. The experimental results show that the proposed approach works effectively even with a significantly reduced amount of labeled data.
Extracting and Analyzing instructions for robot manipulation actions from WikiHow
offline-first search
Repository for code, datasets, and resources related to my Level 4 project. My project is about extracting task structure from instructional text, specifically about extracting the "Things you'll need" to perform a task from the text of the instructions. The website Wikihow is used as a data souce, and the python module spaCy is used to implemen…
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