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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 801–850 of 4002 papers

TitleStatusHype
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and DocumentsCode0
Linear Ensembles of Word Embedding ModelsCode0
LINSPECTOR: Multilingual Probing Tasks for Word RepresentationsCode0
LINSPECTOR WEB: A Multilingual Probing Suite for Word RepresentationsCode0
Bidirectional Attention as a Mixture of Continuous Word ExpertsCode0
LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration MemoryCode0
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain ResponsesCode0
Deriving Disinformation Insights from Geolocalized Twitter CalloutsCode0
Design and Implementation of a Quantum Kernel for Natural Language ProcessingCode0
DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word EmbeddingsCode0
Magnitude: A Fast, Efficient Universal Vector Embedding Utility PackageCode0
Making Sense of Word EmbeddingsCode0
Mapping distributional to model-theoretic semantic spaces: a baselineCode0
Mapping Supervised Bilingual Word Embeddings from English to low-resource languagesCode0
DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entriesCode0
Assessing the Reliability of Word Embedding Gender Bias MeasuresCode0
A Co-Attentive Cross-Lingual Neural Model for Dialogue Breakdown DetectionCode0
Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender SignalsCode0
Assessing Wordnets with WordNet EmbeddingsCode0
Measuring Social Biases in Grounded Vision and Language EmbeddingsCode0
Definition Modeling: Learning to define word embeddings in natural languageCode0
Degree-Aware Alignment for Entities in TailCode0
MICE: Mining Idioms with Contextual EmbeddingsCode0
Mimicking Word Embeddings using Subword RNNsCode0
MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual PivotingCode0
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector SpacesCode0
Definition Frames: Using Definitions for Hybrid Concept RepresentationsCode0
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment AnalysisCode0
Modeling Input Uncertainty in Neural Network Dependency ParsingCode0
Compressing Word Embeddings via Deep Compositional Code LearningCode0
Beyond Word2Vec: Embedding Words and Phrases in Same Vector SpaceCode0
Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine TranslationCode0
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token EncodingsCode0
Deep word embeddings for visual speech recognitionCode0
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine TranslationCode0
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image ClassifiersCode0
Generating Timelines by Modeling Semantic ChangeCode0
Multi hash embeddings in spaCyCode0
Def2Vec: Extensible Word Embeddings from Dictionary DefinitionsCode0
Density Matching for Bilingual Word EmbeddingCode0
A Study of Slang Representation MethodsCode0
Dict2vec : Learning Word Embeddings using Lexical DictionariesCode0
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal GuidanceCode0
Multilingual Multi-class Sentiment Classification Using Convolutional Neural NetworksCode0
Analogical Reasoning on Chinese Morphological and Semantic RelationsCode0
Multilingual Offensive Language Identification with Cross-lingual EmbeddingsCode0
Multimodal deep networks for text and image-based document classificationCode0
Multimodal Embeddings from Language ModelsCode0
Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?Code0
Deep Learning for Hate Speech Detection in TweetsCode0
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