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pro vyhledávání: '"Coppola, Gregory"'
Autor:
Coppola, Gregory
Given the emergent reasoning abilities of large language models, information retrieval is becoming more complex. Rather than just retrieve a document, modern information retrieval systems advertise that they can synthesize an answer based on potentia
Externí odkaz:
http://arxiv.org/abs/2403.09599
Autor:
Coppola, Gregory
Given the emergent reasoning abilities of large language models, information retrieval is becoming more complex. Rather than just retrieve a document, modern information retrieval systems advertise that they can synthesize an answer based on potentia
Externí odkaz:
http://arxiv.org/abs/2402.18566
Autor:
Coppola, Gregory
This paper introduces the Quantified Boolean Bayesian Network (QBBN), which provides a unified view of logical and probabilistic reasoning. The QBBN is meant to address a central problem with the Large Language Model (LLM), which has become extremely
Externí odkaz:
http://arxiv.org/abs/2402.06557
Autor:
Coppola, Gregory
The most important problem that has emerged after twenty years of popular internet usage is that of fact-checking at scale. This problem is experienced acutely in both of the major internet application platform types, web search and social media. We
Externí odkaz:
http://arxiv.org/abs/2010.10685
Autor:
Coppola, Gregory
One of the most expensive parts of maintaining a modern information-sharing platform (e.g., web search, social network) is the task of content-moderation-at-scale. Content moderation is the binary task of determining whether or not a given user-creat
Externí odkaz:
http://arxiv.org/abs/2010.10581
Autor:
Coppola, Gregory
Web Search and Social Media have always been two of the most important applications on the internet. We begin by giving a unified framework, called general search, of which which all search and social media products can be seen as instances. Dimensio
Externí odkaz:
http://arxiv.org/abs/2005.13007
Autor:
Coppola, Gregory Francis
The development of distributed training strategies for statistical prediction functions is important for applications of machine learning, generally, and the development of distributed structured prediction training strategies is important for natura
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.656200
Publikováno v:
ETSU Faculty Works.
The use of dietary supplements occurs in the majority of American adults >20 years old and has been reported to be on the rise by the National Health and Nutrition Examination Survey. People are not only taking more dietary supplements, but taking th
Externí odkaz:
https://dc.etsu.edu/etsu-works/15632
Publikováno v:
Coppola, G F, Birch, A, Deoskar, T & Steedman, M 2011, Simple Semi-Supervised Learning for Prepositional Phrase Attachment . in Proceedings of the 12th International Conference on Parsing Technologies, IWPT 2011, October 5-7, 2011, Dublin City University, Dubin, Ireland . pp. 129-139 . < http://www.aclweb.org/anthology/W11-2916 >
Prepositional phrase attachment is an important subproblem of parsing, performance on which suffers from limited availability of labelled data. We present a semi-supervised approach. We show that a discriminative lexical model trained from labelled d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::256b235beb50a7f034f73432878f668c
https://hdl.handle.net/20.500.11820/8d343f7a-3b9a-4fb8-8c04-7f0e3fcb4e11
https://hdl.handle.net/20.500.11820/8d343f7a-3b9a-4fb8-8c04-7f0e3fcb4e11
Autor:
Coppola, Gregory Francis
This thesis examines what is necessary to formally model a hearer's comprehension of a natural language sentence. Our theory of comprehension should at least explain how different words within the same grammatical class make different contributions t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______497::8d59062bcca9e9633f2ea562b591b39f
http://summit.sfu.ca/item/9430
http://summit.sfu.ca/item/9430