Measuring Word Relatedness Using Heterogeneous Vector Space Models

By Wen-tau Yih, Vahed Qazvinian. 2012

51 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Mark Marron
2. Sumit Gulwani
3. Ming-Wei Chang
4. Xinyun Chen
5. Andrzej Pastusiak
6. A. Pastusiak
7. Percy Liang
8. Rishabh Singh

Citations in the corpus

• NLyze: interactive programming by natural language for spreadsheet data analysis and manipulation (2014, methodology): “We performed clustering on the natural language inputs for a given intent based on the orders of the column names/values and word similarity [41].”
• Question Answering Using Enhanced Lexical Semantic Models (2013, methodology): “Following the setting suggested by Yih and Qazvinian (2012), we create term-vectors representing about 1 million words by ag-gregating terms within a window of [ 10 , 10] of each occurrence of the target word.”