Keyphrase Extraction Task
- input: a Text Document.
- output: a Keyphrase List.
- It can be solved by a Keyphrase Extraction System (that applies a keyphrase extraction algorithm).
- It can range from being a Manual Keyphrase Extraction Task to being an Automatic Keyphrase Extraction Task.
- See: Subject Heading, Taxonomy.
- (Wikipedia - Keyphrase Extraction) ⇒ http://en.wikipedia.org/wiki/Automatic_summarization#Keyphrase_Extraction
- QUOTE: The task is the following. You are given a piece of text, such as a journal article, and you must produce a list of keywords or keyphrases that capture the primary topics discussed in the text. In the case of research articles, many authors provide manually assigned keywords, but most text lacks pre-existing keyphrases. For example, news articles rarely have keyphrases attached, but it would be useful to be able to automatically do so for a number of applications discussed below.
- (Turney, 2000) ⇒ Peter D. Turney. (2000). “Learning Algorithms for Keyphrase Extraction.” In: Journal of Information Retrieval, 2(4). doi:10.1023/A:1009976227802
- … Many journals ask their authors to provide a list of keywords for their articles. We call these keyphrases, rather than keywords, because they are often phrases of two or more words, rather than single words. We define a keyphrase list as a short list of phrases (typically five to fifteen noun phrases) that capture the main topics discussed in a given document. This paper is concerned with the automatic extraction of keyphrases from text.
- (Frank et al., 1999) ⇒ Eibe Frank, Gordon W. Paynter, Ian H. Witten, Carl Gutwin, and Craig G. Nevill-Manning. (1999). “Domain-Specific Keyphrase Extraction.” In: Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI 1999)