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A Multi Domain Framework for Textual Similarity A Case Study on Question to Question and Question Answering Similarity Tasks

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Table 1: Size of the multi-domain datasets in terms of number oftokens (column 1), number of posts (column 2), number of filteredposts (column 3) and number of test questions (column 4).
Table 2: Statistics of the multi-domain datasets in terms of themean number of tokens of the original question (Column 1), meannumber of tokens of the related question (column 2), mean num-ber of tokens of the answers (column 3), the mean ratio betweenthe original and related questions (column 4) and the mean ratiobetween the original questions and the answers (column 5).
Table 3: Results (MAP%) of SentEmb and MappSent on thequestion-to-question similarity task using 19 Q/Q datasets.

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