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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 1301–1350 of 4002 papers

TitleStatusHype
Generating Fact Checking Summaries for Web ClaimsCode0
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label GraphsCode1
From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli?—0
A Self-supervised Representation Learning of Sentence Structure for Authorship AttributionCode0
Legal Document Classification: An Application to Law Area Prediction of Petitions to Public Prosecution Service—0
BRUMS at SemEval-2020 Task 3: Contextualised Embeddings for Predicting the (Graded) Effect of Context in Word SimilarityCode0
Multilingual Offensive Language Identification with Cross-lingual EmbeddingsCode0
gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data—0
comp-syn: Perceptually Grounded Word Embeddings with ColorCode1
MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching—0
VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition ModelingCode0
Analogies minus analogy test: measuring regularities in word embeddingsCode0
Metaphor Interpretation Using Word Embeddings—0
Compositional Demographic Word EmbeddingsCode1
Embedding Words in Non-Vector Space with Unsupervised Graph LearningCode1
Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning—0
Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base PairsCode0
Intrinsic Probing through Dimension SelectionCode0
PublishInCovid19 at WNUT 2020 Shared Task-1: Entity Recognition in Wet Lab Protocols using Structured Learning Ensemble and Contextualised Embeddings—0
LEAPME: Learning-based Property Matching with Embeddings—0
On the Effects of Knowledge-Augmented Data in Word Embeddings—0
Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles—0
Syntax Representation in Word Embeddings and Neural Networks -- A Survey—0
Enriching Word Embeddings with Temporal and Spatial InformationCode0
Composing Word Vectors for Japanese Compound Words Using Bilingual Word Embeddings—0
Neural Machine Translation from Historical Japanese to Contemporary Japanese Using Diachronically Domain-Adapted Word Embeddings—0
Machine learning with persistent homology and chemical word embeddings improves prediction accuracy and interpretability in metal-organic frameworks—0
"Did you really mean what you said?" : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word EmbeddingsCode1
Multiple Word Embeddings for Increased Diversity of RepresentationCode0
Interactive Re-Fitting as a Technique for Improving Word Embeddings—0
Development of Word Embeddings for Uzbek Language—0
BERT for Monolingual and Cross-Lingual Reverse DictionaryCode1
Leader: Prefixing a Length for Faster Word Vector SerializationCode0
Multi-Relational Embedding for Knowledge Graph Representation and AnalysisCode1
Metaphor Detection using Deep Contextualized Word Embeddings—0
iNLTK: Natural Language Toolkit for Indic LanguagesCode1
CogniFNN: A Fuzzy Neural Network Framework for Cognitive Word Embedding Evaluation—0
Latin BERT: A Contextual Language Model for Classical PhilologyCode1
Visual-Semantic Embedding Model Informed by Structured Knowledge—0
Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion RecognitionCode1
Vector Projection Network for Few-shot Slot Tagging in Natural Language UnderstandingCode1
Exploring the Linear Subspace Hypothesis in Gender Bias MitigationCode0
Dual-path CNN with Max Gated block for Text-Based Person Re-identificationCode1
Word class flexibility: A deep contextualized approachCode0
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment AnalysisCode0
Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA—0
More Embeddings, Better Sequence Labelers?—0
Unsupervised Summarization by Jointly Extracting Sentences and Keywords—0
Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item AnnotationCode1
Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet—0
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