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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 2001–2050 of 4002 papers

TitleStatusHype
Measuring Diachronic Evolution of Evaluative Adjectives with Word Embeddings: the Case for English, Norwegian, and Russian—0
The Role of Protected Class Word Lists in Bias Identification of Contextualized Word Representations—0
Improving Word Embeddings Using Kernel PCA—0
JHU System Description for the MADAR Arabic Dialect Identification Shared Task—0
Probing Word and Sentence Embeddings for Long-distance Dependencies Effects in French and English—0
Learning Joint Acoustic-Phonetic Word Embeddings—0
NLP@UNED at SMM4H 2019: Neural Networks Applied to Automatic Classifications of Adverse Effects Mentions in Tweets—0
Unsupervised Compositional Translation of Multiword Expressions—0
Detection of Adverse Drug Reaction in Tweets Using a Combination of Heterogeneous Word Embeddings—0
Noisy Parallel Corpus Filtering through Projected Word Embeddings—0
Times Are Changing: Investigating the Pace of Language Change in Diachronic Word Embeddings—0
MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by AutoencodingCode0
SyntaxFest 2019 Invited talk - Quantitative Computational Syntax: dependencies, intervention effects and word embeddings—0
RNN Embeddings for Identifying Difficult to Understand Medical WordsCode0
ArbEngVec : Arabic-English Cross-Lingual Word Embedding Model—0
What does Neural Bring? Analysing Improvements in Morphosyntactic Annotation and Lemmatisation of Slovenian, Croatian and Serbian—0
WMDO: Fluency-based Word Mover's Distance for Machine Translation Evaluation—0
Contributions to Clinical Named Entity Recognition in PortugueseCode0
A Hierarchically-Labeled Portuguese Hate Speech DatasetCode0
Composing Noun Phrase Vector Representations—0
Creative Contextual Dialog Adaptation in an Open World RPGCode0
Semantic Change in the Language of UK Parliamentary Debates—0
Derivational Morphological Relations in Word Embeddings—0
Enhancing biomedical word embeddings by retrofitting to verb clustersCode0
En-Ar Bilingual Word Embeddings without Word Alignment: Factors Effects—0
Exploring the Use of Lexicons to aid Deep Learning towards the Detection of Abusive Language—0
SenseFitting: Sense Level Semantic Specialization of Word Embeddings for Word Sense Disambiguation—0
One-to-X analogical reasoning on word embeddings: a case for diachronic armed conflict prediction from news textsCode0
Representation Degeneration Problem in Training Natural Language Generation ModelsCode0
Hybrid Code Networks using a convolutional neural network as an input layer achieves higher turn accuracy—0
LINSPECTOR WEB: A Multilingual Probing Suite for Word RepresentationsCode0
Bilingual Lexicon Induction through Unsupervised Machine TranslationCode0
Distributional Analysis of Polysemous Function Words—0
Learning dynamic word embeddings with drift regularisation—0
Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950-1990Code0
Exploring sentence informativeness—0
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models—0
Differentiable Disentanglement Filter: an Application Agnostic Core Concept Discovery Probe—0
Analysis of Word Embeddings Using Fuzzy Clustering—0
Multimodal deep networks for text and image-based document classificationCode0
The Dynamic Embedded Topic ModelCode0
An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation Architectures—0
Improving Chemical Named Entity Recognition in Patents with Contextualized Word EmbeddingsCode0
Morphological Word Embeddings—0
Interpretable Segmentation of Medical Free-Text Records Based on Word EmbeddingsCode0
Neural Semantic Parsing with Anonymization for Command Understanding in General-Purpose Service RobotsCode0
Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting—0
Towards Incremental Learning of Word Embeddings Using Context InformativenessCode0
De-Mixing Sentiment from Code-Mixed Text—0
Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View—0
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