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Found 9 papers, 4 papers with code
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives
Existing datasets for narrative understanding often fail to represent the complexity and uncertainty of relationships in real-life social scenarios.
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models
Neural Theory-of-Mind (N-ToM), machine's ability to understand and keep track of the mental states of others, is pivotal in developing socially intelligent agents.
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding
Narrative understanding involves capturing the author's cognitive processes, providing insights into their knowledge, intentions, beliefs, and desires.
NarrativePlay: Interactive Narrative Understanding
In this paper, we introduce NarrativePlay, a novel system that allows users to role-play a fictional character and interact with other characters in narratives such as novels in an immersive environment.
OverPrompt: Enhancing ChatGPT through Efficient In-Context Learning
The remarkable performance of pre-trained large language models has revolutionised various natural language processing applications.
Cone: Unsupervised Contrastive Opinion Extraction
Contrastive opinion extraction aims to extract a structured summary or key points organised as positive and negative viewpoints towards a common aspect or topic.
PANACEA: An Automated Misinformation Detection System on COVID-19
In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection.
Tracking Brand-Associated Polarity-Bearing Topics in User Reviews
Monitoring online customer reviews is important for business organisations to measure customer satisfaction and better manage their reputations.
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews
In this paper, we propose the Brand-Topic Model (BTM) which aims to detect brand-associated polarity-bearing topics from product reviews.
