Search Results for author:
Found 6 papers, 2 papers with code
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation
Large pretrained language models offer powerful generation capabilities, but cannot be reliably controlled at a sub-sentential level.
Contrastive Loss is All You Need to Recover Analogies as Parallel Lines
While static word embedding models are known to represent linguistic analogies as parallel lines in high-dimensional space, the underlying mechanism as to why they result in such geometric structures remains obscure.
An analysis of document graph construction methods for AMR summarization
Prior work in AMR-based summarization has automatically merged the individual sentence graphs into a document graph, but the method of merging and its effects on summary content selection have not been independently evaluated.
Identifying therapist conversational actions across diverse psychotherapeutic approaches
We propose to apply dialogue act classification to therapy transcripts, using a therapy-specific labeling scheme, in order to gain a high-level understanding of the flow of conversation in therapy sessions.
Detecting Gang-Involved Escalation on Social Media Using Context
Gang-involved youth in cities such as Chicago have increasingly turned to social media to post about their experiences and intents online.
Multimodal Social Media Analysis for Gang Violence Prevention
In this paper we partnered computer scientists with social work researchers, who have domain expertise in gang violence, to analyze how public tweets with images posted by youth who mention gang associations on Twitter can be leveraged to automatically detect psychosocial factors and conditions that could potentially assist social workers and violence outreach workers in prevention and early intervention programs.
