Not All Neural Embeddings are Born Equal

2 October 2014

Papers citing "Not All Neural Embeddings are Born Equal"

8 / 8 papers shown

Title
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings G. R. Claramunt Rodrigo Agerri German Rigau 32 7 0 17 Jan 2020
The Geometry of Culture: Analyzing Meaning through Word Embeddings Austin C. Kozlowski Matt Taddy James A. Evans 35 379 0 25 Mar 2018
Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words Danushka Bollegala K. Hayashi Ken-ichi Kawarabayashi OffRL 30 40 0 19 Sep 2017
New word analogy corpus for exploring embeddings of Czech words Lukás Svoboda Tomas Brychcin 17 21 0 02 Aug 2016
Multichannel Variable-Size Convolution for Sentence Classification Wenpeng Yin Hinrich Schütze 16 156 0 15 Mar 2016
Mined Semantic Analysis: A New Concept Space Model for Semantic Representation of Textual Data Walid Shalaby Wlodek Zadrozny 24 11 0 10 Dec 2015
Learning Meta-Embeddings by Using Ensembles of Embedding Sets Wenpeng Yin Hinrich Schütze FedML 9 29 0 18 Aug 2015
From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney Patrick Pantel 110 2,982 0 04 Mar 2010