miningsuch

Miningsuch is a term used in corpus linguistics and information extraction to describe a data-mining approach that concentrates on extracting exemplars from text by exploiting the linguistic cue "such as" and its equivalents in other languages. The term is a recent neologism and is not yet standardized across disciplines; usages vary across papers and projects.

In practice, miningsuch involves locating sentences that contain a cue such as "such as" or its multilingual equivalents, then parsing the following material to identify a list of items. The method typically includes tokenization, part-of-speech tagging, and dependency parsing to separate items from introductory phrases, handling punctuation and conjunctions, and normalizing multiword expressions.

Applications of miningsuch include constructing knowledge graphs, populating lexical resources, aiding summarization, and improving information retrieval and question answering by turning qualitative lists into structured data.

Limitations include reliance on the presence of explicit cues, variations in phrasing, cross-linguistic differences, and potential extraction noise from ambiguous or incomplete lists. It is often used in combination with broader pattern-mining or relation-extraction methods.

Example: In the sentence "There are many programming languages, such as Python, Java, and C++, that are popular for education," miningsuch would extract the list {Python, Java, C++}.

See also: information extraction, list extraction, pattern mining, natural language processing.