Information om | Engelska ordet CHUNKING

Exempel på hur man kan använda CHUNKING i en mening

• However, drag-and-drop operations have the advantage of thoughtfully chunking together two operands (the object to drag, and the drop location) into a single action.
• Various kinds of memory training systems and mnemonics include training and drills in specially-designed recoding or chunking schemes.
• Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
• For example, cutting wood into pieces or chunks is "junking it up" (perhaps from "chunking it up"); standing with one's back toward someone is "standing back to"; babies sometimes "crex" (perhaps akin to the Deitsch Grex, meaning a whimper or a creaking sound) and cry (whimper or whine); and "squauze" as the past tense for squeeze; and a "sneaky" person is someone who is a picky eater.
• Their topics of interest include, but are not limited to: text processing, computational morphology, tagging, stemming, syntactic analysis, parsing and shallow parsing, chunking, recognizing textual entailment, ambiguity resolution, semantic analysis, pragmatics, lexicon, lexical resources, dictionaries and machine-readable dictionaries (MRD), grammar, anaphora resolution, word sense disambiguation (WSD), machine translation (MT), information retrieval (IR), information extraction (IE), document handling, document classification and text classification, text summarization, text mining (TM), opinion mining, sentiment analysis, plagiarism detection, and spell checking (spelling).
• It supports the most common NLP tasks, such as language detection, tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing and coreference resolution.
• Client/server implementation with IPv6, TLS, IDNA, Comet (long polling), chunking and multipart support.

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