31 citations · 111 across the 10 of their papers we have counts for
10 papers
Langformers: Unified NLP Pipelines for Language Models
Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera
Transformer-based language models have revolutionized the field of natural language processing (NLP). However, using these models often involves navigating multiple frameworks and…
"Actionable Help" in Crises: A Novel Dataset and Resource-Efficient Models for Identifying Request and Offer Social Media Posts
Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera +1
During crises, social media serves as a crucial coordination tool, but the vast influx of posts--from "actionable" requests and offers to generic content like emotional support, be…
CReMa: Crisis Response through Computational Identification and Matching of Cross-Lingual Requests and Offers Shared on Social Media
Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera +1
During times of crisis, social media platforms play a crucial role in facilitating communication and coordinating resources. In the midst of chaos and uncertainty, communities ofte…
Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts
Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera
Tasks such as semantic search and clustering on crisis-related social media texts enhance our comprehension of crisis discourse, aiding decision-making and targeted interventions.…
CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts
Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera
Social media platforms play an essential role in crisis communication, but analyzing crisis-related social media texts is challenging due to their informal nature. Transformer-base…
A Twitter narrative of the COVID-19 pandemic in Australia
Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera
Social media platforms contain abundant data that can provide comprehensive knowledge of historical and real-time events. During crisis events, the use of social media peaks, as pe…
BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration
Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera
The COVID-19 pandemic introduced new norms such as social distancing, face masks, quarantine, lockdowns, travel restrictions, work/study from home, and business closures, to name a…
Where did you tweet from? Inferring the origin locations of tweets based on contextual information
Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read
Public conversations on Twitter comprise many pertinent topics including disasters, protests, politics, propaganda, sports, climate change, epidemics/pandemic outbreaks, etc., that…
Socially Enhanced Situation Awareness from Microblogs using Artificial Intelligence: A Survey
Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read
The rise of social media platforms provides an unbounded, infinitely rich source of aggregate knowledge of the world around us, both historic and real-time, from a human perspectiv…
Twitter conversations predict the daily confirmed COVID-19 cases
Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read
As of writing this paper, COVID-19 (Coronavirus disease 2019) has spread to more than 220 countries and territories. Following the outbreak, the pandemic's seriousness has made peo…