Machine knowledge: Creation and curation of comprehensive knowledge bases
Equipping machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
Information retrieval and text mining technologies for chemistry
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
[图书][B] Machine learning for text: An introduction
CC Aggarwal, CC Aggarwal - 2018 - Springer
The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …
referred to as text mining, text analytics, or machine learning from text. The choice of …
[PDF][PDF] Identifying relations for open information extraction
Abstract Open Information Extraction (IE) is the task of extracting assertions from massive
corpora without requiring a pre-specified vocabulary. This paper shows that the output of …
corpora without requiring a pre-specified vocabulary. This paper shows that the output of …
Wrangler: Interactive visual specification of data transformation scripts
S Kandel, A Paepcke, J Hellerstein, J Heer - Proceedings of the sigchi …, 2011 - dl.acm.org
Though data analysis tools continue to improve, analysts still expend an inordinate amount
of time and effort manipulating data and assessing data quality issues. Such" data …
of time and effort manipulating data and assessing data quality issues. Such" data …
[图书][B] The text mining handbook: advanced approaches in analyzing unstructured data
Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …
crisis of information overload by combining techniques from data mining, machine learning …
Open information extraction from the web
Open information extraction from the web Page 1 68 communications of the acm | december
2008 | vol. 51 | no. 12 review articles will build systems that fuse relevant pieces of …
2008 | vol. 51 | no. 12 review articles will build systems that fuse relevant pieces of …
[HTML][HTML] Snuba: Automating weak supervision to label training data
As deep learning models are applied to increasingly diverse problems, a key bottleneck is
gathering enough high-quality training labels tailored to each task. Users therefore turn to …
gathering enough high-quality training labels tailored to each task. Users therefore turn to …
Web data extraction, applications and techniques: A survey
Abstract Web Data Extraction is an important problem that has been studied by means of
different scientific tools and in a broad range of applications. Many approaches to extracting …
different scientific tools and in a broad range of applications. Many approaches to extracting …
Information extraction
S Sarawagi - Foundations and Trends® in Databases, 2008 - nowpublishers.com
The automatic extraction of information from unstructured sources has opened up new
avenues for querying, organizing, and analyzing data by drawing upon the clean semantics …
avenues for querying, organizing, and analyzing data by drawing upon the clean semantics …