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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
Derivational Morphological Relations in Word Embeddings
Derivation is a type of a word-formation process which creates new words from existing ones by adding, changing or deleting… 
2019
2019
An Exploration of State-of-the-art Methods for Offensive Language Detection
We provide a comprehensive investigation of different custom and off-the-shelf architectures as well as different approaches to… 
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
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… 
2017
2017
Forage: Optimizing Food Use With Machine Learning Generated Recipes
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
Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection
Text mining has drawn significant attention in recent past due to the rapid growth in biomedical and clinical records. Entity… 
2017
2017
TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing
We present the TurkuNLP entry in the CoNLL 2017 Shared Task on Multilingual Parsing from Raw Text to Universal Dependencies. The… 
2016
2016
UNBNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation
In this paper we consider several approaches to predicting semantic textual similarity us-ing word embeddings, as well as methods… 
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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