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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
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… 
2019
2019
Cross-lingual plagiarism detection techniques for English-Hindi language pairs
Abstract Plagiarism is defined as stealing of another author’s language, thoughts, or ideas as one’s own original work. Most of… 
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
Training Neural Machine Translation using Word Embedding-based Loss
In neural machine translation (NMT), the computational cost at the output layer increases with the size of the target-side… 
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
Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language
This paper describes our system for detection and interpretation of English puns. We participated in 2 subtasks related to… 
2016
2016
Using a Distributional Semantic Vector Space with a Knowledge Base for Reasoning in Uncertain Conditions
2016
2016
Dealing with Out-Of-Vocabulary Problem in Sentence Alignment Using Word Similarity
Sentence alignment plays an essential role in building bilingual corpora which are valuable resources for many applications like… 
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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