8 citations · 14 across the 6 of their papers we have counts for
3 papers · 1 filter
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
Lemei Zhang, Peng Liu, Marcus Tiedemann Oekland Henriksboe +3
With the rapid advancement of Natural Language Processing in recent years, numerous studies have shown that generic summaries generated by Large Language Models (LLMs) can sometime…
Extracting News Events from Microblogs
Øystein Repp, Heri Ramampiaro
Twitter stream has become a large source of information for many people, but the magnitude of tweets and the noisy nature of its content have made harvesting the knowledge from Twi…
Context-Aware Sequence-to-Sequence Models for Conversational Systems
Silje Christensen, Simen Johnsrud, Massimiliano Ruocco +1
This work proposes a novel approach based on sequence-to-sequence (seq2seq) models for context-aware conversational systems. Exist- ing seq2seq models have been shown to be good fo…