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 826–850 of 4002 papers

Title	Date	Tasks	Status	Score
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces	Sep 13, 2019	Word Embeddings	CodeCode Available	5
Definition Frames: Using Definitions for Hybrid Concept Representations	Sep 10, 2019	Relation ExtractionWord Embeddings	CodeCode Available	5
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment Analysis	Sep 18, 2020	Extract AspectMulti-Task Learning	CodeCode Available	5
Modeling Input Uncertainty in Neural Network Dependency Parsing	Oct 1, 2018	Dependency ParsingLexical Normalization	CodeCode Available	5
Compressing Word Embeddings via Deep Compositional Code Learning	Nov 3, 2017	Machine TranslationQuantization	CodeCode Available	5
Beyond Word2Vec: Embedding Words and Phrases in Same Vector Space	Dec 18, 2017	Phrase Vector EmbeddingSemantic Textual Similarity	CodeCode Available	5
Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation	Aug 31, 2018	DecoderMachine Translation	CodeCode Available	5
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings	May 21, 2018	Morphological TaggingPart-Of-Speech Tagging	CodeCode Available	5
Deep word embeddings for visual speech recognition	Oct 30, 2017	Lipreadingspeech-recognition	CodeCode Available	5
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation	May 23, 2023	Machine TranslationTransfer Learning	CodeCode Available	5
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers	Aug 1, 2023	Adversarial Robustnessimage-classification	CodeCode Available	5
Generating Timelines by Modeling Semantic Change	Sep 21, 2019	Word Embeddings	CodeCode Available	5
Multi hash embeddings in spaCy	Dec 19, 2022	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Def2Vec: Extensible Word Embeddings from Dictionary Definitions	Dec 16, 2023	Chunkingnamed-entity-recognition	CodeCode Available	5
Density Matching for Bilingual Word Embedding	Apr 4, 2019	Bilingual Lexicon InductionWord Embeddings	CodeCode Available	5
A Study of Slang Representation Methods	Dec 11, 2022	Representation LearningWord Embeddings	CodeCode Available	5
Dict2vec : Learning Word Embeddings using Lexical Dictionaries	Sep 1, 2017	General ClassificationKnowledge Graphs	CodeCode Available	5
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance	Oct 1, 2018	Word Embeddings	CodeCode Available	5
Multilingual Multi-class Sentiment Classification Using Convolutional Neural Networks	May 1, 2018	ClassificationDocument Classification	CodeCode Available	5
Analogical Reasoning on Chinese Morphological and Semantic Relations	May 12, 2018	Word Embeddings	CodeCode Available	5
Multilingual Offensive Language Identification with Cross-lingual Embeddings	Oct 11, 2020	Language IdentificationTransfer Learning	CodeCode Available	5
Multimodal deep networks for text and image-based document classification	Jul 15, 2019	ClassificationDocument Classification	CodeCode Available	5
Multimodal Embeddings from Language Models	Sep 10, 2019	Emotion RecognitionLanguage Modeling	CodeCode Available	5
Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?	Oct 4, 2024	Lexical Complexity PredictionWord Embeddings	CodeCode Available	5
Deep Learning for Hate Speech Detection in Tweets	Jun 1, 2017	16kDeep Learning	CodeCode Available	5

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