First TAB-Context Management in Database Systems with Word Embeddings

[1]  Cordelia Schmid,et al.  Product Quantization for Nearest Neighbor Search , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Victor Lempitsky,et al.  The inverted multi-index , 2012, CVPR.

[3]  Jeffrey Dean,et al.  Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.

[4]  Omer Levy,et al.  Linguistic Regularities in Sparse and Explicit Word Representations , 2014, CoNLL.

[5]  Wanxiang Che,et al.  Learning Semantic Hierarchies via Word Embeddings , 2014, ACL.

[6]  Bai Xue,et al.  A Study on Sentiment Computing and Classification of Sina Weibo with Word2vec , 2014, 2014 IEEE International Congress on Big Data.

[7]  Scharolta Katharina Siencnik.  Adapting word2vec to Named Entity Recognition , 2015, NODALIDA.

[8]  Karel Jezek,et al.  Comparing Semantic Models for Evaluating Automatic Document Summarization , 2015, TSD.

[9]  Gerhard Wohlgenannt,et al.  Using word2vec to Build a Simple Ontology Learning System , 2016, SEMWEB.

[10]  Oded Shmueli,et al.  Enabling Cognitive Intelligence Queries in Relational Databases using Low-dimensional Word Embeddings , 2016, ArXiv.

[11]  Andrey Kutuzov,et al.  Exploration of register-dependent lexical semantics using word embeddings , 2016, LT4DH@COLING.

[12]  Bhaskar Mitra,et al.  Improving Document Ranking with Dual Word Embeddings , 2016, WWW.

[13]  Michael Stonebraker,et al.  Data Integration: The Current Status and the Way Forward , 2018, IEEE Data Eng. Bull..

[14]  Palash Goyal,et al.  Graph Embedding Techniques, Applications, and Performance: A Survey , 2017, Knowl. Based Syst..

[15]  Shafiq R. Joty,et al.  Feature space of DT Featu re space of DS Feature Truncation Feature Standardization , 2018 .

[16]  Pedro M. Domingos.  Machine Learning for Data Management: Problems and Solutions , 2018, SIGMOD Conference.

[17]  Shafiq R. Joty,et al.  Distributed Representations of Tuples for Entity Resolution , 2018, Proc. VLDB Endow..

[18]  Michael Günther.  FREDDY: Fast Word Embeddings in Database Systems , 2018, SIGMOD Conference.