{"_id":"r2wBCPYfx2xNnk7vA","bibbaseid":"vakulenko-nixon-lupu-characterbasedneuralembeddingsfortweetclustering","downloads":0,"creationDate":"2018-02-07T16:22:57.318Z","title":"Character-based Neural Embeddings for Tweet Clustering","author_short":["Vakulenko, S.","Nixon, L.","Lupu, M."],"year":null,"bibtype":"article","biburl":null,"bibdata":{"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","bibtex":"@article{\n title = {Character-based Neural Embeddings for Tweet Clustering},\n type = {article},\n websites = {https://arxiv.org/pdf/1703.05123.pdf},\n id = {909396ce-bb3d-3ddb-92f4-9d2d107346a4},\n created = {2018-02-05T18:48:31.987Z},\n accessed = {2018-02-05},\n file_attached = {true},\n profile_id = {371589bb-c770-37ff-8193-93c6f25ffeb1},\n group_id = {f982cd63-7ceb-3aa2-ac7e-a953963d6716},\n last_modified = {2018-02-05T18:48:34.273Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n 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 .},\n bibtype = {article},\n author = {Vakulenko, Svitlana and Nixon, Lyndon and Lupu, Mihai}\n}","author_short":["Vakulenko, S.","Nixon, L.","Lupu, M."],"urls":{"Paper":"http://bibbase.org/service/mendeley/371589bb-c770-37ff-8193-93c6f25ffeb1/file/13c7a5e8-8085-a27f-5cfc-87b74475fd3f/Character-based_Neural_Embeddings_for_Tweet_Clustering.pdf.pdf","Website":"https://arxiv.org/pdf/1703.05123.pdf"},"bibbaseid":"vakulenko-nixon-lupu-characterbasedneuralembeddingsfortweetclustering","role":"author","downloads":0,"html":""},"search_terms":["character","based","neural","embeddings","tweet","clustering","vakulenko","nixon","lupu"],"keywords":[],"authorIDs":[]}