SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1851–1900 of 4002 papers

TitleStatusHype
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning—0
Improving Twitter Sentiment Classification via Multi-Level Sentiment-Enriched Word Embeddings—0
Improving Vector Space Word Representations Using Multilingual Correlation—0
Improving Verb Metaphor Detection by Propagating Abstractness to Words, Phrases and Individual Senses—0
CLULEX at SemEval-2021 Task 1: A Simple System Goes a Long Way—0
Argumentative Topology: Finding Loop(holes) in Logic—0
A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic—0
Adaptive Compression of Word Embeddings—0
A Challenge Set and Methods for Noun-Verb Ambiguity—0
Explainable Identification of Hate Speech towards Islam using Graph Neural Networks—0
Explainability of Text Processing and Retrieval Methods: A Critical Survey—0
Experiments on a Guarani Corpus of News and Social Media—0
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks—0
Experimental Evaluation of Deep Learning models for Marathi Text Classification—0
INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter—0
Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition—0
Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity—0
Incorporating Context into Language Encoding Models for fMRI—0
Expanding the Text Classification Toolbox with Cross-Lingual Embeddings—0
Expanding Subjective Lexicons for Social Media Mining with Embedding Subspaces—0
Clinical Named Entity Recognition using Contextualized Token Representations—0
ArGoT: A Glossary of Terms extracted from the arXiv—0
Incorporating Sub-Word Level Information in Language Invariant Neural Event Detection—0
Incorporating visual features into word embeddings: A bimodal autoencoder-based approach—0
Incorporating Word Embeddings into Open Directory Project based Large-scale Classification—0
Increasing Sentence-Level Comprehension Through Text Classification of Epistemic Functions—0
Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings—0
ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity—0
Example-based Acquisition of Fine-grained Collocation Resources—0
Clinical Event Detection with Hybrid Neural Architecture—0
Indigenous Language Revitalization and the Dilemma of Gender Bias—0
In-domain Context-aware Token Embeddings Improve Biomedical Named Entity Recognition—0
Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework—0
“Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers—0
Inducing Distant Supervision in Suggestion Mining through Part-of-Speech Embeddings—0
Exact gradient updates in time independent of output size for the spherical loss family—0
Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources—0
Inducing Relational Knowledge from BERT—0
Evolving Large Text Corpora: Four Versions of the Icelandic Gigaword Corpus—0
INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction—0
Clinical Abbreviation Disambiguation Using Neural Word Embeddings—0
INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces—0
Evolving Hate Speech Online: An Adaptive Framework for Detection and Mitigation—0
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention—0
Clickbait detection using word embeddings—0
Are Word Embeddings Really a Bad Fit for the Estimation of Thematic Fit?—0
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses—0
Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function—0
Event Role Labelling using a Neural Network Model (\'Etiquetage en r\^oles \'ev\'enementiels fond\'e sur l'utilisation d'un mod\`ele neuronal) [in French]—0
Event Role Extraction using Domain-Relevant Word Representations—0
Show:102550
← PrevPage 38 of 81Next →

No leaderboard results yet.