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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
Diachronic degradation of language models: Insights from social media—0
Word Error Rate Estimation for Speech Recognition: e-WERCode1
Fully Statistical Neural Belief TrackingCode0
Towards Optimal Transport with Global Invariances—0
Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment—0
The Corpus Replication Task—0
Evaluation of sentence embeddings in downstream and linguistic probing tasksCode0
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable RepresentationsCode0
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings—0
Learning Acoustic Word Embeddings with Temporal Context for Query-by-Example Speech Search—0
Diachronic word embeddings and semantic shifts: a survey—0
Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data—0
Probabilistic FastText for Multi-Sense Word EmbeddingsCode1
Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient MobilityCode0
Finding Convincing Arguments Using Scalable Bayesian Preference LearningCode0
The Limitations of Cross-language Word Embeddings EvaluationCode0
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?—0
Closed Form Word Embedding Alignment—0
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction—0
Bidirectional Retrieval Made Simple—0
Bigrams and BiLSTMs Two Neural Networks for Sequential Metaphor DetectionCode0
Multi-Module Recurrent Neural Networks with Transfer Learning—0
SB@GU at the Complex Word Identification 2018 Shared Task—0
Computationally Constructed Concepts: A Machine Learning Approach to Metaphor Interpretation Using Usage-Based Construction Grammatical Cues—0
Conditional Random Fields for Metaphor Detection—0
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