Learning Semantic Similarity for Very Short Texts

2 Dec 2015Cedric De BoomSteven Van CanneytSteven BohezThomas DemeesterBart Dhoedt

Levering data on social media, such as Twitter and Facebook, requires information retrieval algorithms to become able to relate very short text fragments to each other. Traditional text similarity methods such as tf-idf cosine-similarity, based on word overlap, mostly fail to produce good results in this case, since word overlap is little or non-existent... (read more)

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