Outline - Background

- Wikipedia Miner - Wikipedia-based measures

- Exercise

- Lexical Matching on Anchor Text

Wikipedia Miner [Milne & Witten 2008b]

- Open source

- (Public) web service

- Java - Hadoop preprocessing pipeline

- Lexical matching + machine learning

- See http://wikipedia-miner.cms.waikato.ac.nz

Wikipedia Miner: CSV Summary Files [Milne & Witten 2008b]

Senses label.csv .. 'Sotheby's,850,797,1520,1157,v{s{541267,849,796,T,F},s{6350375,1,1,F,F}}

Label

Link Occurrence

Link Documents

Text Occurrence

Text Documents

Page ID

Target Occurrence

Target Documents

Redirect

Title

page.csv .. 541267,'Sotheby's,0,6 .. 6350375,'Sotheby's International Realty,0,6

Page ID

Title

Wikipedia-based measures Keyphraseness [Mihalcea & Csomai 2007]

CF(wl ) CF(w)

Collection frequency term w as a link to another Wikipedia article

Collection frequency term w

label.csv .. 'Sotheby's,850,797,1520,1157,v{s{541267,849,796,T,F},s{6350375,1,1,F,F}}

Link Occurrence

Link Documents

Text Occurrence

Text Documents

Page ID

Target Occurrence

Target Documents

Redirect

Title

log(max(|Lc |, |Lc0 |)) log(|Lc \ Lc0 |) log(|W P |) log(min(|Lc |, |Lc0 |)) Commonness [Medelyan et al. 2008]

Wikipedia-based measures |Lw,c | P 0 c0 |Lw,c |

Number of links
 with target c’ and anchor text w

label.csv .. 'Sotheby's,850,797,1520,1157,v{s{541267,849,796,T,F},s{6350375,1,1,F,F}}

Link Occurrence

Link Documents

Text Occurrence

Text Documents

Page ID

Target Occurrence

Target Documents

Redirect

Title

http://bit.ly/ELR-course

20140615 Entity Linking and Retrieval for Semantic Search ... - GitHub

Wikipedia Miner. [Milne & Witten 2008b]. - Open source. - (Public) web service. - Java. - Hadoop preprocessing pipeline. - Lexical matching + machine learning.
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