Sentence similarity using weighted path and similarity matrices
نویسندگان
چکیده
منابع مشابه
AZMAT: Sentence Similarity Using Associative Matrices
This work uses recursive autoencoders (Socher et al., 2011), word embeddings (Pennington et al., 2014), associative matrices (Schuler, 2014) and lexical overlap features to model human judgments of sentential similarity on SemEval-2015 Task 2: English STS (Agirre et al., 2015). Results show a modest positive correlation between system predictions and human similarity scores, ranking 69th out of...
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ژورنال
عنوان ژورنال: TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
سال: 2019
ISSN: 1303-6203
DOI: 10.3906/elk-1901-91