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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 3251–3300 of 4002 papers

TitleStatusHype
SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular DataCode0
Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity RecognitionCode0
Interpreting Word Embeddings with Eigenvector AnalysisCode0
Revisiting Tri-training of Dependency ParsersCode0
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and DocumentsCode0
myNER: Contextualized Burmese Named Entity Recognition with Bidirectional LSTM and fastText Embeddings via Joint Training with POS TaggingCode0
Supervised Acoustic Embeddings And Their Transferability Across LanguagesCode0
NE-Table: A Neural key-value table for Named EntitiesCode0
Named-Entity Recognition for NorwegianCode0
Attentive Neural Network for Named Entity Recognition in VietnameseCode0
Deriving Disinformation Insights from Geolocalized Twitter CalloutsCode0
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention SelectionCode0
Named Entity Recognition in the Romanian Legal DomainCode0
Design and Implementation of a Quantum Kernel for Natural Language ProcessingCode0
Intrinsic Probing through Dimension SelectionCode0
Introducing Orthogonal Constraint in Structural ProbesCode0
Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank ConcatenationCode0
word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding methodCode0
Detecting Anxiety through RedditCode0
Named Entity Recognition with Bidirectional LSTM-CNNsCode0
Named Entity Recognition With Parallel Recurrent Neural NetworksCode0
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly OlfactionCode0
Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing TasksCode0
RNN Embeddings for Identifying Difficult to Understand Medical WordsCode0
Roadblocks in Gender Bias Measurement for Diachronic CorporaCode0
Analyzing Vietnamese Legal Questions Using Deep Neural Networks with Biaffine ClassifiersCode0
Analogies minus analogy test: measuring regularities in word embeddingsCode0
Supervised Phrase-boundary EmbeddingsCode0
Exploring Public Attention in the Circular Economy through Topic Modelling with Twin Hyperparameter OptimisationCode0
Robust Concept Erasure via Kernelized Rate-Distortion MaximizationCode0
Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic ChangesCode0
Near-lossless Binarization of Word EmbeddingsCode0
Detecting Unassimilated Borrowings in Spanish: An Annotated Corpus and Approaches to ModelingCode0
Investigating the Effectiveness of Representations Based on Word-Embeddings in Active Learning for Labelling Text DatasetsCode0
Negative Sampling Improves Hypernymy Extraction Based on Projection LearningCode0
Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding SpacesCode0
Robust Cross-lingual Embeddings from Parallel SentencesCode0
Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit SegmentationCode0
Nested Variational Autoencoder for Topic Modeling on Microtexts with Word VectorsCode0
Bilingual Lexicon Induction through Unsupervised Machine TranslationCode0
Robust Cross-lingual Hypernymy Detection using Dependency ContextCode0
Neural Activation Semantic Models: Computational lexical semantic models of localized neural activationsCode0
Bilingual Learning of Multi-sense Embeddings with Discrete AutoencodersCode0
Robust Gram EmbeddingsCode0
Neural-based Noise Filtering from Word EmbeddingsCode0
Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base PairsCode0
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political BiasesCode0
Neural Cross-Lingual Named Entity Recognition with Minimal ResourcesCode0
Robust to Noise Models in Natural Language Processing TasksCode0
Italian Event Detection Goes Deep LearningCode0
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