Key phrase extraction from user generated content
[1] The Stanford Natural Language Processing Group. Retrieved from http://nlp.stanford.edu/ [2] L. Ratinov and D. Roth, Design Challenges and Misconceptions in Named Entity Recognition. CoNLL (2009) [3] OpenNLP. Retrieved from http://opennlp.apache.org/ [4] Stanford Log-linear Part-Of-Speec...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/59128 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | [1] The Stanford Natural Language Processing Group. Retrieved from http://nlp.stanford.edu/
[2] L. Ratinov and D. Roth, Design Challenges and Misconceptions in Named Entity Recognition. CoNLL (2009)
[3] OpenNLP. Retrieved from http://opennlp.apache.org/
[4] Stanford Log-linear Part-Of-Speech Tagger. Retrieved from http://nlp.stanford.edu/software/tagger.shtml
[5] A. Turpin and W. Hersh. (2004). Do Clarity Scores for Queries Correlate with User Performance?
[6] Steve Cronen-Townsend and W. Bruce Croft. (2002). Quantify Query Ambiguity
[7] Kullback–Leibler divergence. Retrieved from http://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence
[8] Apache Lucene Core. Retrieved from http://lucene.apache.org/core/ |
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