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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 1151–1200 of 4002 papers

TitleStatusHype
Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information—0
An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings—0
Improving Word Embeddings through Iterative Refinement of Word- and Character-level Models—0
Lexical Relation Mining in Neural Word Embeddings—0
Coordination Boundary Identification without Labeled Data for Compound Terms Disambiguation—0
Contextualized Embeddings for Enriching Linguistic Analyses on Politeness—0
Neural Networks approaches focused on French Spoken Language Understanding: application to the MEDIA Evaluation TaskCode0
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity AnalysisCode0
A Retrofitting Model for Incorporating Semantic Relations into Word Embeddings—0
Embeddings in Natural Language Processing—0
Multimodal Review Generation with Privacy and Fairness AwarenessCode0
Tiny Word Embeddings Using Globally Informed Reconstruction—0
Affective and Contextual Embedding for Sarcasm DetectionCode1
Do Word Embeddings Capture Spelling Variation?Code0
A Simple and Effective Usage of Word Clusters for CBOW ModelCode0
A Review of Cross-Domain Text-to-SQL Models—0
Explaining Word Embeddings via Disentangled Representation—0
BERT-Based Neural Collaborative Filtering and Fixed-Length Contiguous Tokens Explanation—0
Learning Negation Scope from Syntactic Structure—0
Automatic Learning of Modality Exclusivity Norms with Crosslingual Word Embeddings—0
DCC-Uchile at SemEval-2020 Task 1: Temporal Referencing Word Embeddings—0
UNT Linguistics at SemEval-2020 Task 12: Linear SVC with Pre-trained Word Embeddings as Document Vectors and Targeted Linguistic Features—0
NTUAAILS at SemEval-2020 Task 11: Propaganda Detection and Classification with biLSTMs and ELMo—0
Assessing Polyseme Sense Similarity through Co-predication Acceptability and Contextualised Embedding Distance—0
MineriaUNAM at SemEval-2020 Task 3: Predicting Contextual WordSimilarity Using a Centroid Based Approach and Word Embeddings—0
CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning ShiftsCode0
SHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment—0
UAlberta at SemEval-2020 Task 2: Using Translations to Predict Cross-Lingual Entailment—0
CLaC at SemEval-2020 Task 5: Muli-task Stacked Bi-LSTMs—0
CitiusNLP at SemEval-2020 Task 3: Comparing Two Approaches for Word Vector Contextualization—0
UZH at SemEval-2020 Task 3: Combining BERT with WordNet Sense Embeddings to Predict Graded Word Similarity Changes—0
TemporalTeller at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection with Temporal Referencing—0
TUE at SemEval-2020 Task 1: Detecting Semantic Change by Clustering Contextual Word Embeddings—0
DiaSense at SemEval-2020 Task 1: Modeling Sense Change via Pre-trained BERT Embeddings—0
BhamNLP at SemEval-2020 Task 12: An Ensemble of Different Word Embeddings and Emotion Transfer Learning for Arabic Offensive Language Identification in Social Media—0
LT3 at SemEval-2020 Task 7: Comparing Feature-Based and Transformer-Based Approaches to Detect Funny Headlines—0
Joint Training for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora—0
SU-NLP at SemEval-2020 Task 12: Offensive Language IdentifiCation in Turkish Tweets—0
DoTheMath at SemEval-2020 Task 12 : Deep Neural Networks with Self Attention for Arabic Offensive Language Detection—0
Cross-lingual Annotation Projection in Legal TextsCode0
Intrinsic analysis for dual word embedding space models—0
Meta-Embeddings for Natural Language Inference and Semantic Similarity tasks—0
Consistent Structural Relation Learning for Zero-Shot Segmentation—0
Blind signal decomposition of various word embeddings based on join and individual variance explained—0
A Deep Content-Based Model for Persian Rumor Verification—0
Improved Semantic Role Labeling using Parameterized Neighborhood Memory AdaptationCode1
Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space—0
Unsupervised Word Translation Pairing using Refinement based Point Set Registration—0
Improving Biomedical Named Entity Recognition with Syntactic InformationCode0
Acoustic span embeddings for multilingual query-by-example searchCode0
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