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Word Embeddings

Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.

Techniques for learning word embeddings can include Word2Vec, GloVe, and other neural network-based approaches that train on an NLP task such as language modeling or document classification.

( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )

Papers

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Showing 2651–2675 of 4002 papers

TitleStatusHype
SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags—0
Named Entity Recognition With Parallel Recurrent Neural NetworksCode0
Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization—0
Multi-lingual Entity Discovery and Linking—0
Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing—0
BioAMA: Towards an End to End BioMedical Question Answering System—0
Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly ApplicableCode0
Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document Classification—0
On Learning Better Embeddings from Chinese Clinical Records: Study on Combining In-Domain and Out-Domain Data—0
Batch IS NOT Heavy: Learning Word Representations From All Samples—0
Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimizationCode0
A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity—0
Using pseudo-senses for improving the extraction of synonyms from word embeddings—0
Word Embedding and WordNet Based Metaphor Identification and Interpretation—0
Predicting Brain Activation with WordNet EmbeddingsCode0
Diachronic degradation of language models: Insights from social media—0
Fully Statistical Neural Belief TrackingCode0
A Sequence Learning Method for Domain-Specific Entity Linking—0
Keyphrases Extraction from User-Generated Contents in Healthcare Domain Using Long Short-Term Memory Networks—0
Inter and Intra Topic Structure Learning with Word EmbeddingsCode0
Predicting Concreteness and Imageability of Words Within and Across Languages via Word EmbeddingsCode0
A Helping Hand: Transfer Learning for Deep Sentiment Analysis—0
Towards Optimal Transport with Global Invariances—0
Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment—0
The Corpus Replication Task—0
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