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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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Papers overview

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2019
2019
The objective of the Translation Inference Across Dictionar- ies (TIAD) shared task is to explore and compare methods and tech… 
2018
2018
The study deals with post-processing of a noisy collection of synsets created using crowdsourcing. First, we cluster long synsets… 
2018
2018
Lifelog data provide potential insight analysis and understanding about people in their daily activities. However, it is still a… 
2017
2017
Food waste is a major issue in the United States. For an American family of four, the average value of discarded produce alone is… 
2017
2017
Testing word embeddings for Polish Distributional Semantics postulates the representation of word meaning in the form of numeric… 
2016
2016
Sentence alignment plays an essential role in building bilingual corpora which are valuable resources for many applications like… 
2016
2016
In the paper we present distributed vector space models based on word embeddings and a specific association-oriented count-based… 
2016
2016
Twitter is one of the most popular micro-blogging services on the web. The service allows sharing, interaction and collaboration… 
2015
2015
This paper describes the IBM systems for the Trilingual Entity Discovery and Linking (EDL) for the TAC 2016 Knowledge-Base…