Mining semantically meaningful phrases Transform text data from word granularity to phrase granularity Enhance the power and efficiency at manipulating unstructured data using database technology 4Mining Phrases: Why Not Use NLP Methods? Phrase mining was originated from the NLP community Name Entity Recognition (NER) can only identify noun phrases Chunking can provide some phrase candidates Most NLP methods need heavy training and complex labeling Costly and may not be transferable May not fit domain-specific, dynamic, emerging applications Scientific domains Query log
Including phrases in the vocabulary list can improve n-gram language models used in speech recogniti...
A natural language parser that could extract noun phrases for all medical texts would be of great ut...
AI (Artificial Intelligence) is now present almost everywhere, from weather forecast to medicine and...
Phrase snippets of large text corpora like news articles or web search results offer great insight a...
A sentence is an integral unit of semantic nature, context and significance. Visualizing sentences f...
Phrase mining is a key research problem for semantic analysis and text-based information retrieval. ...
However, many text mining applications do not have adequate natural language processing ability beyo...
Keyword searching is the most common form of document search on the Web. Many Web publishers manuall...
Query segmentation is the process of taking a user’s search-engine query and dividing the tokens int...
Artificial Intelligence Lab, Department of MIS, Univeristy of ArizonaIn an effort to assist medical ...
With the rapid digitization of information, large quantities of text-heavy data is being constantly ...
Text data are ubiquitous and play an essential role in big data applications. However, text data are...
A phrase is a natural, meaningful, and essential semantic unit. In topic modeling, visualizing phras...
Abstract- Keywords and key phrases are widely used in large document collections. They describe the ...
There are many phrase noises in the Baidu search engine system. These phrases are got by statistical...
Including phrases in the vocabulary list can improve n-gram language models used in speech recogniti...
A natural language parser that could extract noun phrases for all medical texts would be of great ut...
AI (Artificial Intelligence) is now present almost everywhere, from weather forecast to medicine and...
Phrase snippets of large text corpora like news articles or web search results offer great insight a...
A sentence is an integral unit of semantic nature, context and significance. Visualizing sentences f...
Phrase mining is a key research problem for semantic analysis and text-based information retrieval. ...
However, many text mining applications do not have adequate natural language processing ability beyo...
Keyword searching is the most common form of document search on the Web. Many Web publishers manuall...
Query segmentation is the process of taking a user’s search-engine query and dividing the tokens int...
Artificial Intelligence Lab, Department of MIS, Univeristy of ArizonaIn an effort to assist medical ...
With the rapid digitization of information, large quantities of text-heavy data is being constantly ...
Text data are ubiquitous and play an essential role in big data applications. However, text data are...
A phrase is a natural, meaningful, and essential semantic unit. In topic modeling, visualizing phras...
Abstract- Keywords and key phrases are widely used in large document collections. They describe the ...
There are many phrase noises in the Baidu search engine system. These phrases are got by statistical...
Including phrases in the vocabulary list can improve n-gram language models used in speech recogniti...
A natural language parser that could extract noun phrases for all medical texts would be of great ut...
AI (Artificial Intelligence) is now present almost everywhere, from weather forecast to medicine and...