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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 1651–1700 of 4002 papers

TitleStatusHype
Compound or Term Features? Analyzing Salience in Predicting the Difficulty of German Noun Compounds across Domains—0
Generic and Specialized Word Embeddings for Multi-Domain Machine Translation—0
Generic Embedding-Based Lexicons for Transparent and Reproducible Text Scoring—0
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction—0
A New Approach to Animacy Detection—0
Geographically-Balanced Gigaword Corpora for 50 Language Varieties—0
Compressing Word Embeddings—0
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings—0
Compressing Word Embeddings Using Syllables—0
Getting the \#\#life out of living: How Adequate Are Word-Pieces for Modelling Complex Morphology?—0
GHH at SemEval-2018 Task 10: Discovering Discriminative Attributes in Distributional Semantics—0
A Structured Distributional Model of Sentence Meaning and Processing—0
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method—0
Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts—0
Self-supervised audio representation learning for mobile devices—0
GL at SemEval-2019 Task 5: Identifying hateful tweets with a deep learning approach.—0
GlobalTrait: Personality Alignment of Multilingual Word Embeddings—0
GLoMo: Unsupervised Learning of Transferable Relational Graphs—0
Computationally Constructed Concepts: A Machine Learning Approach to Metaphor Interpretation Using Usage-Based Construction Grammatical Cues—0
Gloss Alignment Using Word Embeddings—0
GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings—0
GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering—0
Detecting Cross-Lingual Plagiarism Using Simulated Word Embeddings—0
BERT's Conceptual Cartography: Mapping the Landscapes of Meaning—0
Affordance Extraction and Inference based on Semantic Role Labeling—0
Grammar and Meaning: Analysing the Topology of Diachronic Word Embeddings—0
Conceptor Debiasing of Word Representations Evaluated on WEAT—0
A Study of Neural Matching Models for Cross-lingual IR—0
Detecting and Mitigating Indirect Stereotypes in Word Embeddings—0
Concept Space Alignment in Multilingual LLMs—0
Graph-based Nearest Neighbor Search in Hyperbolic Spaces—0
Graph Based Semi-Supervised Learning Approach for Tamil POS tagging—0
Graph-based Syntactic Word Embeddings—0
Des repr\'esentations continues de mots pour l'analyse d'opinions en arabe: une \'etude qualitative (Word embeddings for Arabic sentiment analysis : a qualitative study)—0
An evaluation of Czech word embeddings—0
How much does a word weigh? Weighting word embeddings for word sense induction—0
How Much Does Tokenization Affect Neural Machine Translation?—0
Grapheme-level Awareness in Word Embeddings for Morphologically Rich Languages—0
Graph Exploration and Cross-lingual Word Embeddings for Translation Inference Across Dictionaries—0
Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop—0
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?—0
Gromov-Wasserstein Alignment of Word Embedding Spaces—0
Grouping business news stories based on salience of named entities—0
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings—0
GSI-UPM at SemEval-2019 Task 5: Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter—0
Consistency and Variation in Kernel Neural Ranking Model—0
gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data—0
GWPT: A Green Word-Embedding-based POS Tagger—0
GWU NLP at SemEval-2016 Shared Task 1: Matrix Factorization for Crosslingual STS—0
Human-in-the-Loop Refinement of Word Embeddings—0
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