Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Sharon G. Small"'
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030821982
IntelliSys (3)
IntelliSys (3)
The Automated Language Acquisition System focuses on the fundamental question of grounding; that is, how an agent acquires and represents the meaning of concepts. We take the view that prior to acquiring natural language, an agent has experienced the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3574a323a1227246078e84e5ed0bb62e
https://doi.org/10.1007/978-3-030-82199-9_3
https://doi.org/10.1007/978-3-030-82199-9_3
Publikováno v:
SIGCSE
Computer Science (CS) is not taught in enough high schools thus many students arrive at college or university knowing little about it and often do not consider taking a CS course during their first year. At the same time, we encounter many college or
Publikováno v:
SIGCSE
Recruiting and retaining STEM majors has been an ongoing challenge for colleges and universities. This research paper describes two initiatives to recruit and retain Computer Science (CS) majors that were implemented at Siena College starting in the
Autor:
Meg Fryling, Sharon G. Small, Scott Vandenberg, MaryAnne L. Egan, Ira Goldstein, Robin Flatland
Publikováno v:
SIGCSE
In this paper, we describe our experiences with a new model for in-service computer science (CS) professional development that embeds college/university faculty into local high school classrooms partnered with a high school teacher. The high schools
Autor:
Tomek Strzalkowski, Sharon G. Small
Publikováno v:
Natural Language Engineering. 15:31-54
We describe an interactive question answering system, HITIQA, which helps users find answers to complex analytical problems. Such problems often necessitate the user to submit not one but an entire series of questions, both simple and complex, and th
Autor:
Peng Song, Ying Sun, Kwong Bor Ng, Robert Rittman, Sharon G. Small, Tomek Strzalkowski, Nina Wacholder, Rong Tang, Paul B. Kantor
Publikováno v:
ASIST
We analyzed textual properties of documents to identify predictive variables for various document qualities by means of statistical and linguistic methods. We have created a collection of 1000 documents, each document has been judged in terms of nine
Autor:
Sharon G. Small, Lenore R. Mullin
Publikováno v:
Journal of Mathematical Modelling and Algorithms. 1:193-214
The Fast Fourier Transform (FFT) was named one of the Top Ten algorithms of the 20th century , and continues to be a focus of current research. A problem with currently used FFT packages is that they require large, finely tuned, machine specific libr
Publikováno v:
SIGCSE
The Microsoft Kinect and Willow Garage's Robot Operating System (ROS) are changing the way robots are developed. Together, these tools can enable today's CS educators to provide richer and more research-representative experiences with robots and perc
Autor:
Paul B. Kantor, Sean Ryan, Boris Yamrom, Hilda Hardy, Nobuyuki Shimizu, Wu Min, Tomek Strzalkowski, Liu Ting, Sharon G. Small, Nina Wacholder
Publikováno v:
Advances in Open Domain Question Answering ISBN: 9781402047442
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94b2a04622860fb31c0ff0b8c788a553
https://doi.org/10.1007/978-1-4020-4746-6_5
https://doi.org/10.1007/978-1-4020-4746-6_5
Autor:
Sharon G. Small, Tomek Strzalkowski
Publikováno v:
HLT-NAACL (Short Papers)
In this paper we describe the analytic question answering system HITIQA (High-Quality Interactive Question Answering) which has been developed over the last 2 years as an advanced research tool for information analysts. HITIQA is an interactive open-