…IR tasks, leveraging the creation of conversational assistants that engage in open-domain conversational search with single, yet informative, answers. In particular, we propose an open-domain abstractive conversational search agent pipeline…
…of Computer Science. His recent research develops search engine architectures, neural search algorithms, use of semi-structured knowledge for open-domain search, conversational information seeking, and large-scale distributed search. He has been…
…Connotation and Search. The framework is called SSTS (Symbolic Search in Time Series) and uses regular expression queries to search the desired patterns in a symbolic representation of the signal….
…His recent research develops advanced search engine architectures, neural search algorithms, use of semi-structured knowledge for open domain search, conversational information seeking, and large-scale distributed search. Jamie is a co-organizer…
…detail and compare existing model-driven and data-driven approaches that provide short-term real-time traffic predictions. This research leads to an understanding of the many advantages, disadvantages and trade-offs of the approaches…
In microblog retrieval, query expansion can be essential to obtain good search results due to the short size of queries and posts. Since information in microblogs is highly dynamic, an…
inRes 2014 and 2015 Closing Session Showcases Short and Long Term Impact on the Teams On December 3 rd , 2015, the CMU Portugal Program held the Closing Session of…
This work presents an investigation of the potential benefits of customizing the analysis of long-term ECG signals, collected from individuals using wearable sensors, by incorporating small amount of data from…
…education and research by engaging in dual degree professional master’s and doctoral programs and by participating in innovative research projects. The Carnegie Mellon Portugal program has graduated 200 professional master’s…
