Matches in SemOpenAlex for { <https://semopenalex.org/work/W3082351643> ?p ?o ?g. }
- W3082351643 abstract "Social media plays a significant role in disaster management by providing valuable data about affected people, donations and help requests. Recent studies highlight the need to filter information on social media into fine-grained content labels. However, identifying useful information from massive amounts of social media posts during a crisis is a challenging task. In this paper, we propose I-AID, a multimodel approach to automatically categorize tweets into multi-label information types and filter critical information from the enormous volume of social media data. I-AID incorporates three main components: i) a BERT-based encoder to capture the semantics of a tweet and represent as a low-dimensional vector, ii) a graph attention network (GAT) to apprehend correlations between tweets' words/entities and the corresponding information types, and iii) a Relation Network as a learnable distance metric to compute the similarity between tweets and their corresponding information types in a supervised way. We conducted several experiments on two real publicly-available datasets. Our results indicate that I-AID outperforms state-of-the-art approaches in terms of weighted average F1 score by +6% and +4% on the TREC-IS dataset and COVID-19 Tweets, respectively." @default.
- W3082351643 created "2020-09-08" @default.
- W3082351643 creator A5008073837 @default.
- W3082351643 creator A5013045713 @default.
- W3082351643 creator A5052233342 @default.
- W3082351643 creator A5085145477 @default.
- W3082351643 date "2020-08-04" @default.
- W3082351643 modified "2023-10-01" @default.
- W3082351643 title "I-AID: Identifying Actionable Information from Disaster-related Tweets" @default.
- W3082351643 cites W1522301498 @default.
- W3082351643 cites W1614298861 @default.
- W3082351643 cites W1832693441 @default.
- W3082351643 cites W1984762104 @default.
- W3082351643 cites W2032210760 @default.
- W3082351643 cites W2053968437 @default.
- W3082351643 cites W2131100936 @default.
- W3082351643 cites W2151098288 @default.
- W3082351643 cites W2250539671 @default.
- W3082351643 cites W2259893009 @default.
- W3082351643 cites W2283621191 @default.
- W3082351643 cites W2432717477 @default.
- W3082351643 cites W2470673105 @default.
- W3082351643 cites W2517194566 @default.
- W3082351643 cites W2519887557 @default.
- W3082351643 cites W2562892017 @default.
- W3082351643 cites W2563351168 @default.
- W3082351643 cites W2612535783 @default.
- W3082351643 cites W2734389934 @default.
- W3082351643 cites W2739996966 @default.
- W3082351643 cites W2741271950 @default.
- W3082351643 cites W2766453196 @default.
- W3082351643 cites W2787705367 @default.
- W3082351643 cites W2788509344 @default.
- W3082351643 cites W2788667846 @default.
- W3082351643 cites W2808427340 @default.
- W3082351643 cites W2886799937 @default.
- W3082351643 cites W2898854854 @default.
- W3082351643 cites W2946433668 @default.
- W3082351643 cites W2946796987 @default.
- W3082351643 cites W2947461565 @default.
- W3082351643 cites W2950537964 @default.
- W3082351643 cites W2962946486 @default.
- W3082351643 cites W2963341956 @default.
- W3082351643 cites W2963403868 @default.
- W3082351643 cites W2963921497 @default.
- W3082351643 cites W2963956404 @default.
- W3082351643 cites W2964105864 @default.
- W3082351643 cites W2964250510 @default.
- W3082351643 cites W2971062717 @default.
- W3082351643 cites W3023672669 @default.
- W3082351643 cites W3043372854 @default.
- W3082351643 cites W3091905774 @default.
- W3082351643 hasPublicationYear "2020" @default.
- W3082351643 type Work @default.
- W3082351643 sameAs 3082351643 @default.
- W3082351643 citedByCount "0" @default.
- W3082351643 crossrefType "posted-content" @default.
- W3082351643 hasAuthorship W3082351643A5008073837 @default.
- W3082351643 hasAuthorship W3082351643A5013045713 @default.
- W3082351643 hasAuthorship W3082351643A5052233342 @default.
- W3082351643 hasAuthorship W3082351643A5085145477 @default.
- W3082351643 hasConcept C103278499 @default.
- W3082351643 hasConcept C106131492 @default.
- W3082351643 hasConcept C111919701 @default.
- W3082351643 hasConcept C115961682 @default.
- W3082351643 hasConcept C118505674 @default.
- W3082351643 hasConcept C124101348 @default.
- W3082351643 hasConcept C132525143 @default.
- W3082351643 hasConcept C136764020 @default.
- W3082351643 hasConcept C143275388 @default.
- W3082351643 hasConcept C154945302 @default.
- W3082351643 hasConcept C162324750 @default.
- W3082351643 hasConcept C176217482 @default.
- W3082351643 hasConcept C184337299 @default.
- W3082351643 hasConcept C199360897 @default.
- W3082351643 hasConcept C21547014 @default.
- W3082351643 hasConcept C23123220 @default.
- W3082351643 hasConcept C2522767166 @default.
- W3082351643 hasConcept C31972630 @default.
- W3082351643 hasConcept C41008148 @default.
- W3082351643 hasConcept C518677369 @default.
- W3082351643 hasConcept C80444323 @default.
- W3082351643 hasConcept C94124525 @default.
- W3082351643 hasConceptScore W3082351643C103278499 @default.
- W3082351643 hasConceptScore W3082351643C106131492 @default.
- W3082351643 hasConceptScore W3082351643C111919701 @default.
- W3082351643 hasConceptScore W3082351643C115961682 @default.
- W3082351643 hasConceptScore W3082351643C118505674 @default.
- W3082351643 hasConceptScore W3082351643C124101348 @default.
- W3082351643 hasConceptScore W3082351643C132525143 @default.
- W3082351643 hasConceptScore W3082351643C136764020 @default.
- W3082351643 hasConceptScore W3082351643C143275388 @default.
- W3082351643 hasConceptScore W3082351643C154945302 @default.
- W3082351643 hasConceptScore W3082351643C162324750 @default.
- W3082351643 hasConceptScore W3082351643C176217482 @default.
- W3082351643 hasConceptScore W3082351643C184337299 @default.
- W3082351643 hasConceptScore W3082351643C199360897 @default.
- W3082351643 hasConceptScore W3082351643C21547014 @default.
- W3082351643 hasConceptScore W3082351643C23123220 @default.
- W3082351643 hasConceptScore W3082351643C2522767166 @default.