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 1001–1050 of 4002 papers

TitleStatusHype
Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work—0
Evolution of emotion semanticsCode0
Paradigm Clustering with Weighted Edit Distance—0
Realised Volatility Forecasting: Machine Learning via Financial Word Embedding—0
RAW-C: Relatedness of Ambiguous Words in Context (A New Lexical Resource for English)—0
FKIE_itf_2021 at CASE 2021 Task 1: Using Small Densely Fully Connected Neural Nets for Event Detection and Clustering—0
TUDA-CCL at SemEval-2021 Task 1: Using Gradient-boosted Regression Tree Ensembles Trained on a Heterogeneous Feature Set for Predicting Lexical Complexity—0
Measure and Evaluation of Semantic Divergence across Two Languages—0
Syntagmatic Word Embeddings for Unsupervised Learning of Selectional PreferencesCode0
RS\_GV at SemEval-2021 Task 1: Sense Relative Lexical Complexity Prediction—0
Tracking Semantic Change in Cognate Sets for English and Romance Languages—0
Modeling Text using the Continuous Space Topic Model with Pre-Trained Word Embeddings—0
Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages—0
Lifelong Learning of Topics and Domain-Specific Word EmbeddingsCode0
Compound or Term Features? Analyzing Salience in Predicting the Difficulty of German Noun Compounds across Domains—0
Learning Embeddings for Rare Words Leveraging Internet Search Engine and Spatial Location Relationships—0
GX at SemEval-2021 Task 2: BERT with Lemma Information for MCL-WiC TaskCode0
PolyU CBS-Comp at SemEval-2021 Task 1: Lexical Complexity Prediction (LCP)—0
Multilingual Dependency Parsing for Low-Resource African Languages: Case Studies on Bambara, Wolof, and Yoruba—0
Using Word Embeddings to Analyze Teacher Evaluations: An Application to a Filipino Education Non-Profit Organization—0
CLULEX at SemEval-2021 Task 1: A Simple System Goes a Long Way—0
GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings—0
“Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers—0
Exploring Input Representation Granularity for Generating Questions Satisfying Question-Answer Congruence—0
Applying Occam’s Razor to Transformer-Based Dependency Parsing: What Works, What Doesn’t, and What is Really Necessary—0
Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings—0
MXX@FinSim3 - An LSTM–based approach with custom word embeddings for hypernym detection in financial texts—0
JCT at SemEval-2021 Task 1: Context-aware Representation for Lexical Complexity Prediction—0
UMUTeam at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Linguistic Features and Word EmbeddingsCode0
SINAI at SemEval-2021 Task 5: Combining Embeddings in a BiLSTM-CRF model for Toxic Spans Detection—0
Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring—0
Linguistic change and historical periodization of Old Literary Finnish—0
Implicit Phenomena in Short-answer Scoring Data—0
Arabic aspect sentiment polarity classification using BERT—0
Language Models as Zero-shot Visual Semantic Learners—0
Stress Test Evaluation of Biomedical Word EmbeddingsCode0
Theoretical foundations and limits of word embeddings: what types of meaning can they capture?—0
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian LanguagesCode0
Using Adversarial Debiasing to Remove Bias from Word Embeddings—0
Improved Text Classification via Contrastive Adversarial Training—0
Unsupervised Identification of Relevant Prior CasesCode0
Document Embedding for Scientific Articles: Efficacy of Word Embeddings vs TFIDF—0
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review—0
Sentence-level Online Handwritten Chinese Character Recognition—0
DUKweb: Diachronic word representations from the UK Web Archive corpusCode0
Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation—0
Tackling COVID-19 Infodemic using Deep Learning—0
Cross-lingual alignments of ELMo contextual embeddings—0
A Simple and Efficient Probabilistic Language model for Code-Mixed Text—0
Hate speech detection using static BERT embeddings—0
Show:102550
← PrevPage 21 of 81Next →

No leaderboard results yet.