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Word embedding

Known as: Word vector space, Thought vectors, Word vectors 
Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words… 
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Related topics

Related topics

18 relations
BioinformaticsBrown clusteringCo-occurrence matrixDeep learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
GBD-NER at PARSEME Shared Task 2018: Multi-Word Expression Detection Using Bidirectional Long-Short-Term Memory Networks and Graph-Based Decoding
This paper addresses the issue of multi-word expression (MWE) detection by employing a new decoding strategy inspired after graph… 
2017
2017
The implementation of a Deep Recurrent Neural Network Language Model on a Xilinx FPGA
Recently, FPGA has been increasingly applied to problems such as speech recognition, machine learning, and cloud computation such… 
2016
2016
Enhancing the LexVec Distributed Word Representation Model Using Positional Contexts and External Memory
In this paper we take a state-of-the-art model for distributed word representation that explicitly factorizes the positive… 
Highly Cited
2015
Highly Cited
2015
Character-based Neural Machine Translation
We introduce a neural machine translation model that views the input and output sentences as sequences of characters rather than… 
2015
2015
The IBM Systems for Trilingual Entity Discovery and Linking at TAC 2015
This paper describes the IBM systems for the Trilingual Entity Discovery and Linking (EDL) for the TAC 2016 Knowledge-Base… 
2014
2014
Text Classification with Document Embeddings
Distributed representations have gained a lot of interests in natural language processing community. In this paper, we propose a… 
2010
2010
Feature selection using bag-of-visual-words representation
In this paper, we introduce an efficient method to substantially increase the recognition performance of object recognition by… 
2009
2009
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual… 
2006
2006
A retrieval method of similar question articles from web bulletin board
This paper proposes a method for retrieving similar question articles from Web bulletin boards, which basically use the cosine… 
2002
2002
Measuring the Similarity between Compound Nouns in Different Languages Using Non-Parallel Corpora
This paper presents a method that measures the similarity between compound nouns in different languages to locate translation… 
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