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 2301–2325 of 4002 papers

TitleStatusHype
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF—0
Field Embedding: A Unified Grain-Based Framework for Word Representation—0
Figure Eight at SemEval-2019 Task 3: Ensemble of Transfer Learning Methods for Contextual Emotion Detection—0
Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation—0
Finding Individual Word Sense Changes and their Delay in Appearance—0
Finding People's Professions and Nationalities Using Distant Supervision - The FMI@SU "goosefoot" team at the WSDM Cup 2017 Triple Scoring Task—0
Fine-Grained Contextual Predictions for Hard Sentiment Words—0
Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings—0
Finely Tuned, 2 Billion Token Based Word Embeddings for Portuguese—0
Fine-tuning BERT to classify COVID19 tweets containing symptoms—0
Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis—0
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell—0
First Bilingual Word Embeddings for te reo Māori and English: Towards Code-switching Detection in a Low-resourced setting—0
Fitting Semantic Relations to Word Embeddings—0
FKIE_itf_2021 at CASE 2021 Task 1: Using Small Densely Fully Connected Neural Nets for Event Detection and Clustering—0
Flexible and Scalable State Tracking Framework for Goal-Oriented Dialogue Systems—0
FlorUniTo@TRAC-2: Retrofitting Word Embeddings on an Abusive Lexicon for Aggressive Language Detection—0
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings—0
Focusing Knowledge-based Graph Argument Mining via Topic Modeling—0
Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines—0
FRAQUE: a FRAme-based QUEstion-answering system for the Public Administration domain—0
French Contextualized Word-Embeddings with a sip of CaBeRnet: a New French Balanced Reference Corpus—0
Frequency-aware Dimension Selection for Static Word Embedding by Mixed Product Distance—0
Frequency-based Distortions in Contextualized Word Embeddings—0
From cart to truck: meaning shift through words in English in the last two centuries—0
Show:102550
← PrevPage 93 of 161Next →

No leaderboard results yet.