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@@ -22,7 +22,7 @@ No usage of Numpy in any of the code and developed using Python2.7 (built-in mod
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| 2 | MODEL<br>TRAIN_FILE<br>TEST_FILE | <b>1</b> or <b>2</b> or <b>interp</b><br>Data/reuters-train.txt<br>Data/reuters-dev.txt
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| 3 | METHOD<br>TRAIN_DOCS<br>TRAIN_CLASSES<br>TEST_FILE<br>TRUE_CLASSES | <b>baseline</b> or <b>lr</b> or <b>lexicon</b> or <b>nb</b> or <b>nbbin</b><br>Data/train.docs.txt<br>Data/train.classes.txt<br>Data/dev.docs.txt<br>Data/dev.classes.txt
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| 4 | TRAIN_FILE<br>TEST_FILE<br>METHOD<br>TRUE_TAGS |Data/train.en.txt<br>Data/dev.en.words.txt<br><b>baseline</b> or <b>hmm</b><br>Data/dev.en.tags.txt
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| 5 | METHOD | overlap<br>w2v
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| 5 | METHOD | overlap<br>w2v<br>both
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Assignment 2: -
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MODEL
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METHOD
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* <b>overlap</b> represents <b>Chatbot responses based on the word overlap</b>
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* <b>w2v</b> represents <b>Response with highest Cosine value (from pre-trained vectors from fastText)</b>
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* <b>both</b> represents <b>both responses from overlap and w2v with their Cosine values</b>
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