1 / 13

Presenter : Jian-Ren Chen Authors : Gonenc Ercan , Ilyas Cicekli * 2007.IPM

Using lexical chains for keyword extraction. Presenter : Jian-Ren Chen Authors : Gonenc Ercan , Ilyas Cicekli * 2007.IPM. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments. Motivation.

ernie
Download Presentation

Presenter : Jian-Ren Chen Authors : Gonenc Ercan , Ilyas Cicekli * 2007.IPM

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Using lexical chains for keyword extraction Presenter : Jian-Ren ChenAuthors : GonencErcan, IlyasCicekli *2007.IPM

  2. Outlines • Motivation • Objectives • Methodology • Experiments • Conclusions • Comments

  3. Motivation It is a hard and time consuming task to assign keywords to documents. The automatic keyphrase extraction algorithms are limited with phrases that appear in the text.

  4. Objectives • We present a keyword extraction method such that it uses the features based on lexical chains in the selection of keywords for a text.

  5. Methodology • first occurrence position • frequency • last occurrence position

  6. Methodology – Lexical chains • WordNet- synonym、hyponym/hypernym • more than one relationship • up to 3 levels of depth • identify nouns • only consider individual words

  7. Methodology – lexical chains • Lexical chain score of a word: • Direct Lexical chain score of a word: • Lexical chain span score of a word: • Direct lexical chain span score of a word: 59 (=7 · 7 + 10) 28 (=4 · 7)

  8. Experiments - Datasets - extract 1, 5, 10, 15 keywords for each document

  9. Experiments • Lexical chain score of a word: • Direct Lexical chain score of a word: • Lexical chain span score of a word: • Direct lexical chain span score of a word:

  10. Experiments

  11. Experiments

  12. Conclusions According to the results that are obtained, the lexical chain features improve the precision significantly in the keyword extraction process.

  13. Comments • Advantages • Lexical chains will more consider the semantic relationships • Applications • keyword extraction

More Related