78 citations · 144 across the 30 of their papers we have counts for
6 papers · 1 filter
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…
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data
Amila Silva, Ling Luo, Shanika Karunasekera +1
With the rapid evolution of social media, fake news has become a significant social problem, which cannot be addressed in a timely manner using manual investigation. This has motiv…