107 citations · 121 across the 8 of their papers we have counts for
8 papers
TRACE: Real-Time Multimodal Common Ground Tracking in Situated Collaborative Dialogues
Hannah VanderHoeven, Brady Bhalla, Ibrahim Khebour +11
We present TRACE, a novel system for live *common ground* tracking in situated collaborative tasks. With a focus on fast, real-time performance, TRACE tracks the speech, actions, g…
Linguistically Conditioned Semantic Textual Similarity
Jingxuan Tu, Keer Xu, Liulu Yue +3
Semantic textual similarity (STS) is a fundamental NLP task that measures the semantic similarity between a pair of sentences. In order to reduce the inherent ambiguity posed from…
Common Ground Tracking in Multimodal Dialogue
Ibrahim Khebour, Kenneth Lai, Mariah Bradford +8
Within Dialogue Modeling research in AI and NLP, considerable attention has been spent on ``dialogue state tracking'' (DST), which is the ability to update the representations of t…
Dense Paraphrasing for Textual Enrichment
Jingxuan Tu, Kyeongmin Rim, Eben Holderness +1
Understanding inferences and answering questions from text requires more than merely recovering surface arguments, adjuncts, or strings associated with the query terms. As humans,…
Designing Multimodal Datasets for NLP Challenges
James Pustejovsky, Eben Holderness, Jingxuan Tu +4
In this paper, we argue that the design and development of multimodal datasets for natural language processing (NLP) challenges should be enhanced in two significant respects: to m…
TMR: Evaluating NER Recall on Tough Mentions
Jingxuan Tu, Constantine Lignos
We propose the Tough Mentions Recall (TMR) metrics to supplement traditional named entity recognition (NER) evaluation by examining recall on specific subsets of "tough" mentions:…
Exploration and Discovery of the COVID-19 Literature through Semantic Visualization
Jingxuan Tu, Marc Verhagen, Brent Cochran +1
We are developing semantic visualization techniques in order to enhance exploration and enable discovery over large datasets of complex networks of relations. Semantic visualizatio…
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
Qingyun Wang, Manling Li, Xuan Wang +24
To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant biomedical knowledge in scientific literature to understand the disease mechanism and rel…