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Word2vec

Word2vec is a group of related models that are used to produce word embeddings. These models are shallow, two-layer neural networks that are trained… 
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Related topics

Related topics

18 relations
AutoencoderCorpus linguisticsCosine similarityDeeplearning4j

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Results of the Translation Inference Across Dictionaries 2019 Shared Task
The objective of the Translation Inference Across Dictionar- ies (TIAD) shared task is to explore and compare methods and tech… 
2019
2019
Finding the Gender of Personal Names and Finding the Effect of Gana on Personal Names with Long Short Term Memory
Naming a baby is a very integral part of our life. As well as, naming a business with an attractive and suitable name takes the… 
2018
2018
Tempo-Lexical Context Driven Word Embedding for Cross-Session Search Task Extraction
Task extraction is the process of identifying search intents over a set of queries potentially spanning multiple search sessions… 
2018
2018
Lifelog Moment Retrieval with Visual Concept Fusion and Text-based Query Expansion
Lifelog data provide potential insight analysis and understanding about people in their daily activities. However, it is still a… 
2018
2018
Automatic Semantic Network Generation from Unstructured Documents – The Options
There is plenty of information that exists in freeform or web-based text and whose use from a computing perspective is limited… 
2017
2017
Testing word embeddings for Polish
Testing word embeddings for Polish Distributional Semantics postulates the representation of word meaning in the form of numeric… 
2017
2017
Automated U.S diplomatic cables security classification: Topic model pruning vs. classification based on clusters
The U.S Government has been the target for cyberattacks from all over the world. Just recently, former President Obama accused… 
Review
2016
Review
2016
ECNU at SemEval-2016 Task 5: Extracting Effective Features from Relevant Fragments in Sentence for Aspect-Based Sentiment Analysis in Reviews
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2016
2016
Using a Distributional Semantic Vector Space with a Knowledge Base for Reasoning in Uncertain Conditions
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… 
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