Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive Approach Using Transformers
Relevant and timely information collected from social media during crises can be an invaluable resource for emergency management. However, extracting this information remains a challenging task, particularly when dealing with social media postings in multiple languages. This work proposes a cross-lingual method for retrieving and summarizing crisis-relevant information from social media postings. We describe a uniform way of expressing various information needs through structured queries and a way of creating summaries answering those information needs. The method is based on multilingual transformers embeddings. Queries are written in one of the languages supported by the embeddings, and the extracted sentences can be in any of the other languages supported. Abstractive summaries are created by transformers. The evaluation, done by crowdsourcing evaluators and emergency management experts, and carried out on collections extracted from Twitter during five large-scale disasters spanning- doi
- 10.1145/3511095.3531279
- name
- Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive Approach Using Transformers
- source
- supplied-acm-publisher-html
- acm_url
- https://dl.acm.org/doi/10.1145/3511095.3531279
- authors
- Fedor Vitiugin, Carlos Castillo
- doi_url
- https://doi.org/10.1145/3511095.3531279
- license
- © 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM.
- summary
- Relevant and timely information collected from social media during crises can be an invaluable resource for emergency management. However, extracting this information remains a challenging task, particularly when dealing with social media postings in multiple languages. This work proposes a cross-lingual method for retrieving and summarizing crisis-relevant information from social media postings. We describe a uniform way of expressing various information needs through structured queries and a way of creating summaries answering those information needs. The method is based on multilingual transformers embeddings. Queries are written in one of the languages supported by the embeddings, and the extracted sentences can be in any of the other languages supported. Abstractive summaries are created by transformers. The evaluation, done by crowdsourcing evaluators and emergency management experts, and carried out on collections extracted from Twitter during five large-scale disasters spanning
- keywords
- abstractive summarization, multilingual retrieval, social media, emergency management
- source_pdf
- HT-2022_39_31_3511095/3511095.3531279.pdf
- import_kind
- full_text
- open_access
- false
- displayAuthor
- Fedor Vitiugin, Carlos Castillo
- displayPublishTime
- 2022-06-28
- source_attribution
- Formatting converted from the supplied ACM publisher HTML and verified against the supplied ACM archival PDF.
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