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 1401–1425 of 4002 papers

TitleStatusHype
Explainable Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media—0
How Self-Attention Improves Rare Class Performance in a Question-Answering Dialogue Agent—0
COVID-19 and Arabic Twitter: How can Arab World Governments and Public Health Organizations Learn from Social Media?—0
Whole-Word Segmental Speech Recognition with Acoustic Word EmbeddingsCode0
Automated Scoring of Clinical Expressive Language Evaluation Tasks—0
Quantifying 60 Years of Gender Bias in Biomedical Research with Word Embeddings—0
Adversarial Evaluation of BERT for Biomedical Named Entity Recognition—0
Analyzing the Framing of 2020 Presidential Candidates in the News—0
CopyBERT: A Unified Approach to Question Generation with Self-Attention—0
Contextual and Non-Contextual Word Embeddings: an in-depth Linguistic Investigation—0
Getting the \#\#life out of living: How Adequate Are Word-Pieces for Modelling Complex Morphology?—0
Neural Metaphor Detection with a Residual biLSTM-CRF Model—0
Improving Biomedical Analogical Retrieval with Embedding of Structural Dependencies—0
Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks—0
Character aware models with similarity learning for metaphor detection—0
LIT Team's System Description for Japanese-Chinese Machine Translation Task in IWSLT 2020—0
Visual Question Generation from Radiology ImagesCode1
Word Embeddings as Tuples of Feature Probabilities—0
Metaphor Detection Using Contextual Word Embeddings From Transformers—0
Token Level Identification of Multiword Expressions Using Contextual Information—0
Neural-DINF: A Neural Network based Framework for Measuring Document Influence—0
Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings—0
He said ``who's gonna take care of your children when you are at ACL?'': Reported Sexist Acts are Not Sexist—0
Adaptive Compression of Word Embeddings—0
Estimating Mutual Information Between Dense Word Embeddings—0
Show:102550
← PrevPage 57 of 161Next →

No leaderboard results yet.