SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus

21 March 2021

Papers citing "SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus"

9 / 9 papers shown

Title
Towards Semantic Noise Cleansing of Categorical Data based on Semantic Infusion Rishabh Gupta Rajesh N. Rao 8 4 0 06 Feb 2020
On the Dimensionality of Word Embedding Zi Yin Yuanyuan Shen 44 190 0 11 Dec 2018
SPINE: SParse Interpretable Neural Embeddings Anant Subramanian Danish Pruthi Harsh Jhamtani Taylor Berg-Kirkpatrick Eduard H. Hovy 32 130 0 23 Nov 2017
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 202 9,953 0 15 Jul 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 152 3,684 0 10 Jun 2016
Image Captioning with Semantic Attention Quanzeng You Hailin Jin Zhaowen Wang Chen Fang Jiebo Luo VLM 164 1,659 0 12 Mar 2016
Sparse Overcomplete Word Vector Representations Manaal Faruqui Yulia Tsvetkov Dani Yogatama Chris Dyer Noah A. Smith 54 197 0 05 Jun 2015
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 334 33,500 0 16 Oct 2013
From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney Patrick Pantel 146 2,988 0 04 Mar 2010