Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/6024
Title: Ambiguous Entities for Search Results Disambiguation and Clustering
Other Titles: SRC Dataset: entities and search results
Authors: Sandouka, Rand
Hamad, Ruba
Yahya, Adnan
Keywords: Search Results Disambiguation;Search Results Clustering;Arabic SRC;Arabic NLP resources
Issue Date: 1-Jun-2019
Publisher: Birzeit University
Source: R. Sandouka, R. Hamad and A. Yahya.Ambiguous Entities for Search Results Disambiguation and Clustering: A Dataset. Birzeit University. June 2019
Abstract: 1. First of all, we have chosen 20 Arabic words that have at least two meanings, which are called ambiguous entities, e.g., لحام، سهم، عشاء . 2. We have collected 50 document links for each word with its different meanings using Bing search engine. 3. We have chosen 8 judges, with 4 judges for the first ten words and 4 judges for the rest of the words. 4. Then we distributed forms (shown in A1 & A2) among judges to fill them. 5. Lastly, we calculated Kappa. o Results
Description: 1. First of all, we have chosen 20 Arabic words that have at least two meanings, which are called ambiguous entities, e.g., لحام، سهم، عشاء . 2. We have collected 50 document links for each word with its different meanings using Bing search engine. 3. We have chosen 8 judges, with 4 judges for the first ten words and 4 judges for the rest of the words. 4. Then we distributed forms (shown in A1 & A2) among judges to fill them. 5. Lastly, we calculated Kappa. o Results
URI: http://hdl.handle.net/20.500.11889/6024
Appears in Collections:6. BZU Dataset Collection

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RubaHamadRandSandoukareport.pdfReport on SRC318.23 kBAdobe PDFView/Open
RubaHamadRandSandoukaNLP_MajorAssignment.rarDataset on SRC Archived553.38 kBUnknownView/Open
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