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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 2301–2350 of 4002 papers

TitleStatusHype
Structured Generative Models of Continuous Features for Word Sense Induction—0
Interpretable Structure-aware Document Encoders with Hierarchical Attention—0
STUFIIT at SemEval-2019 Task 5: Multilingual Hate Speech Detection on Twitter with MUSE and ELMo Embeddings—0
Sub-label dependencies for Neural Morphological Tagging -- The Joint Submission of University of Colorado and University of Helsinki for VarDial 2018—0
Subsumption Preservation as a Comparative Measure for Evaluating Sense-Directed Embeddings—0
Subword-based Cross-lingual Transfer of Embeddings from Hindi to Marathi—0
Subword-based Cross-lingual Transfer of Embeddings from Hindi to Marathi and Nepali—0
Subword-level Composition Functions for Learning Word Embeddings—0
Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling—0
Suicide Risk Assessment on Social Media: USI-UPF at the CLPsych 2019 Shared Task—0
Summarization Based on Embedding Distributions—0
Summarization Evaluation in the Absence of Human Model Summaries Using the Compositionality of Word Embeddings—0
SU-NLP at SemEval-2020 Task 12: Offensive Language IdentifiCation in Turkish Tweets—0
SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags—0
SuperTML: Domain Transfer from Computer Vision to Structured Tabular Data through Two-Dimensional Word Embedding—0
Supervised and Unsupervised Categorization of an Imbalanced Italian Crime News Dataset—0
Supervised and Unsupervised Word Sense Disambiguation on Word Embedding Vectors of Unambigous Synonyms—0
Supervised Metaphor Detection using Conditional Random Fields—0
Supervised Phrase Table Triangulation with Neural Word Embeddings for Low-Resource Languages—0
Supervised Understanding of Word Embeddings—0
Supervised Word Sense Disambiguation with Sentences Similarities from Context Word Embeddings—0
Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers—0
SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning—0
SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision—0
SWOW-8500: Word Association task for Intrinsic Evaluation of Word Embeddings—0
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction—0
Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives—0
Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling—0
Synonym Discovery with Etymology-based Word Embeddings—0
Syntactic and semantic classification of verb arguments using dependency-based and rich semantic features—0
Syntactic and Semantic Features For Code-Switching Factored Language Models—0
Syntactic Dependencies and Distributed Word Representations for Analogy Detection and Mining—0
Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning—0
Syntax Encoding with Application in Authorship Attribution—0
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations—0
SyntaxFest 2019 Invited talk - Quantitative Computational Syntax: dependencies, intervention effects and word embeddings—0
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?—0
Syntax Representation in Word Embeddings and Neural Networks -- A Survey—0
Synthetic Data for English Lexical Normalization: How Close Can We Get to Manually Annotated Data?—0
Synthetic, yet natural: Properties of WordNet random walk corpora and the impact of rare words on embedding performance—0
Syntree2Vec - An algorithm to augment syntactic hierarchy into word embeddings—0
SZTE-NLP at SemEval-2017 Task 10: A High Precision Sequence Model for Keyphrase Extraction Utilizing Sparse Coding for Feature Generation—0
T\"ubingen-Oslo at SemEval-2018 Task 2: SVMs perform better than RNNs in Emoji Prediction—0
TableQnA: Answering List Intent Queries With Web Tables—0
Tackling COVID-19 Infodemic using Deep Learning—0
Tagging a Morphologically Complex Language Using an Averaged Perceptron Tagger: The Case of Icelandic—0
Tailoring Word Embeddings for Bilexical Predictions: An Experimental Comparison—0
TAJJEB at SemEval-2018 Task 2: Traditional Approaches Just Do the Job with Emoji Prediction—0
TakeLab at SemEval-2017 Task 4: Recent Deaths and the Power of Nostalgia in Sentiment Analysis in Twitter—0
TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news—0
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