Summary of Constructing the Cord-19 Vaccine Dataset, by Manisha Singh et al.
Constructing the CORD-19 Vaccine Dataset
by Manisha Singh, Divy Sharma, Alonso Ma, Bridget Tyree, Margaret Mitchell
First submitted to arxiv on: 26 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Information Retrieval (cs.IR); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces a new dataset called CORD-19-Vaccination, specifically designed for scientists researching COVID-19 vaccines. The dataset is an augmentation of the original CORD-19 dataset, with added columns providing language details, author demographics, keywords, and topic information. Facebook’s fastText model identifies languages, while JSON file processing and Google’s search API determine author affiliations and countries. The Yake tool extracts keywords from paper titles, abstracts, and bodies, and the LDA algorithm adds topic information. To evaluate the dataset, the authors demonstrate a question-answering task similar to the CORD-19 Kaggle challenge. For further evaluation, they perform sequential sentence classification on each paper’s abstract using a pre-trained BERT-PubMed layer. The dataset contains 30k research papers and can be valuable for NLP research in text mining, information extraction, and question answering, focusing on COVID-19 vaccine research. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a special database of articles about COVID-19 vaccines. It’s like a big library that scientists can use to find important information. They took existing data and added new details to make it more useful. The computer program fastText helps figure out which languages the authors are writing in, and they used other tools to learn more about who the authors are and where they work. They also looked for key words and topics in each article. To test their database, they did a task similar to one that already exists online. They’re sharing this big collection of articles so scientists can use it to learn more about vaccines. |
Keywords
» Artificial intelligence » Bert » Classification » Fasttext » Nlp » Question answering
