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pro vyhledávání: '"Marc Light"'
Autor:
Marc Light, Mark T. Maybury
Publikováno v:
Communications of the ACM. 45:54-59
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Autor:
Marc Light, Warren Greiff
Publikováno v:
Cognitive Science. 26:269-281
Publikováno v:
Natural Language Engineering. 7:325-342
In this paper, we take a detailed look at the performance of components of an idealized question answering system on two different tasks: the TREC Question Answering task and a set of reading comprehension exams. We carry out three types of analysis:
Autor:
Marc Light
Publikováno v:
Journal of Logic, Language and Information. 7:111-114
Publikováno v:
ISGT
Weather and life cycles, fuel markets, reliability rules, scheduled and random outages, renewables and demand response programs, all constitute pieces of the electricity market puzzle. In such a complex environment, forecasting electricity prices is
Autor:
Marc Light, Arun Vachher, Ramdev Wudali, Sriharsha Veeramachaneni, Ravi Kondadadi, Christopher C. Dozier
Publikováno v:
Semantic Processing of Legal Texts ISBN: 9783642128363
Semantic Processing of Legal Texts
Semantic Processing of Legal Texts
Named entities in text are persons, places, companies, etc. that are explicitly mentioned in text using proper nouns. The process of finding named entities in a text and classifying them to a semantic type, is called named entity recognition. Resolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a57438162ff6591db4763e0f0cb5b13a
https://doi.org/10.1007/978-3-642-12837-0_2
https://doi.org/10.1007/978-3-642-12837-0_2
Publikováno v:
Proceedings of the Workshop on Software Engineering, Testing, and Quality Assurance for Natural Language Processing - SETQA-NLP '09.
Integrating rules and statistical systems is a challenge often faced by natural language processing system builders. A common subclass is integrating high precision rules with a Markov statistical sequence classifier. In this paper we suggest that us
Autor:
Marc Light, Terry Heinze
Publikováno v:
SETQALNLP
Computing precision and recall metrics for named entity tagging and resolution involves classifying text spans as true positives, false positives, or false negatives. There are many factors that make this classification complicated for real world sys
Autor:
Marc Light, Shannon Bradshaw
Publikováno v:
Hypertext
We present a study of the degree to which annotations overlap when several researchers read the same set of scientific articles. Our objective is to determine whether there is sufficient evidence to suggest that information about which passages initi
Autor:
Tasha R. Inniss, Marc Light, George Thomas, John R. Lee, Andrew B. Williams, Michael A. Grassi
Publikováno v:
Proceedings of the 1st international workshop on Text mining in bioinformatics.
The use of text mining and natural language processing can extend into the realm of knowledge acquisition and management for biomedical applications. In this paper, we describe how we implemented natural language processing and text mining techniques