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 901–950 of 4002 papers

TitleStatusHype
Developing Conversational Data and Detection of Conversational Humor in Telugu—0
Common Sense Bias in Semantic Role LabelingCode0
Is Stance Detection Topic-Independent and Cross-topic Generalizable? - A Reproduction Study—0
Zero-Shot Cross-Lingual Transfer is a Hard Baseline to Beat in German Fine-Grained Entity Typing—0
Data-Driven Detection of General Chiasmi Using Lexical and Semantic FeaturesCode0
Distilling Word Meaning in Context from Pre-trained Language ModelsCode0
Reinforced Counterfactual Data Augmentation for Dual Sentiment ClassificationCode0
UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings—0
The Early Modern Dutch Mediascape. Detecting Media Mentions in Chronicles Using Word Embeddings and CRFCode0
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection MethodCode0
Do not neglect related languages: The case of low-resource Occitan cross-lingual word embeddings—0
On the Cross-lingual Transferability of Contextualized Sense Embeddings—0
Tracing variation in discourse connectives in translation and interpreting through neural semantic spaces—0
Decoding Word Embeddings with Brain-Based Semantic Features—0
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy—0
A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution.Code0
Locality Preserving Sentence Encoding—0
Named Entity Recognition in the Romanian Legal DomainCode0
BAHP: Benchmark of Assessing Word Embeddings in Historical Portuguese—0
Increasing Sentence-Level Comprehension Through Text Classification of Epistemic Functions—0
Learning Personal Food Preferences via Food Logs EmbeddingCode0
Measuring a Texts Fairness Dimensions Using Machine Learning Based on Social Psychological Factors—0
The Golden Rule as a Heuristic to Measure the Fairness of Texts Using Machine Learning—0
Word embeddings for topic modeling: an application to the estimation of the economic policy uncertainty index—0
Improving the Diversity of Unsupervised Paraphrasing with Embedding OutputsCode0
Hate and Offensive Speech Detection in Hindi and Marathi—0
Exploring the Sensory Spaces of English Perceptual Verbs in Natural Language DataCode0
Inter-Sense: An Investigation of Sensory Blending in Fiction—0
Cooperative Semi-Supervised Transfer Learning of Machine Reading Comprehension—0
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings—0
Subword-based Cross-lingual Transfer of Embeddings from Hindi to Marathi—0
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models—0
Large Scale Substitution-based Word Sense Induction—0
Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning—0
BI-RADS BERT & Using Section Segmentation to Understand Radiology ReportsCode0
Regionalized models for Spanish language variations based on Twitter—0
Offensive Language Detection with BERT-based models, By Customizing Attention Probabilities—0
A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference ResolutionCode0
Using Word Embeddings for Italian Crime News Categorization—0
Human-in-the-Loop Refinement of Word Embeddings—0
A Survey On Neural Word Embeddings—0
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy—0
A Case Study to Reveal if an Area of Interest has a Trend in Ongoing Tweets Using Word and Sentence Embeddings—0
Keyword-centered Collocating Topic Analysis—0
Aggregating User-Centric and Post-Centric Sentiments from Social Media for Topical Stance Prediction—0
DICoE@FinSim-3: Financial Hypernym Detection using Augmented Terms and Distance-based Features—0
Variance of Twitter Embeddings and Temporal Trends of COVID-19 cases—0
Multi-granular Legal Topic Classification on Greek LegislationCode0
EDGAR-CORPUS: Billions of Tokens Make The World Go Round—0
JOINTLY LEARNING TOPIC SPECIFIC WORD AND DOCUMENT EMBEDDING—0
Show:102550
← PrevPage 19 of 81Next →

No leaderboard results yet.