SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation

15 August 2014

Papers citing "SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation"

12 / 162 papers shown

Title
The Role of Context Types and Dimensionality in Learning Word Embeddings Oren Melamud David McClosky Siddharth Patwardhan Joey Tianyi Zhou 38 123 0 05 Jan 2016
Towards Universal Paraphrastic Sentence Embeddings John Wieting Joey Tianyi Zhou Kevin Gimpel Karen Livescu AI4TS 30 552 0 25 Nov 2015
An Exploration of Softmax Alternatives Belonging to the Spherical Loss Family A. D. Brébisson Pascal Vincent 19 97 0 16 Nov 2015
Learning Meta-Embeddings by Using Ensembles of Embedding Sets Wenpeng Yin Hinrich Schütze FedML 11 29 0 18 Aug 2015
A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution Shaohua Li Jun Zhu Chunyan Miao 16 29 0 16 Aug 2015
Non-distributional Word Vector Representations Manaal Faruqui Chris Dyer NAI 54 81 0 17 Jun 2015
Learning language through pictures Grzegorz Chrupała Ákos Kádár A. Alishahi VLM SSL 35 65 0 11 Jun 2015
Sparse Overcomplete Word Vector Representations Manaal Faruqui Yulia Tsvetkov Dani Yogatama Chris Dyer Noah A. Smith 41 195 0 05 Jun 2015
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets Pascal Vincent A. D. Brébisson Xavier Bouthillier 34 49 0 22 Dec 2014
Word Representations via Gaussian Embedding Luke Vilnis Andrew McCallum 28 385 0 20 Dec 2014
Not All Neural Embeddings are Born Equal Felix Hill Kyunghyun Cho Sébastien Jean Coline Devin Yoshua Bengio 45 51 0 02 Oct 2014
From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney Patrick Pantel 110 2,982 0 04 Mar 2010