@article{
 title = {Character-based Neural Embeddings for Tweet Clustering},
 type = {article},
 websites = {https://arxiv.org/pdf/1703.05123.pdf},
 id = {909396ce-bb3d-3ddb-92f4-9d2d107346a4},
 created = {2018-02-05T18:48:31.987Z},
 accessed = {2018-02-05},
 file_attached = {true},
 profile_id = {371589bb-c770-37ff-8193-93c6f25ffeb1},
 group_id = {f982cd63-7ceb-3aa2-ac7e-a953963d6716},
 last_modified = {2018-02-05T18:48:34.273Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {In this paper we show how the perfor-mance of tweet clustering can be improved by leveraging character-based neural net-works. The proposed approach overcomes the limitations related to the vocabulary explosion in the word-based models and allows for the seamless processing of the multilingual content. Our evaluation re-sults and code are available on-line 1 .},
 bibtype = {article},
 author = {Vakulenko, Svitlana and Nixon, Lyndon and Lupu, Mihai}
}

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