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 1576–1600 of 4002 papers

TitleStatusHype
Finely Tuned, 2 Billion Token Based Word Embeddings for Portuguese—0
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages—0
Fine-tuning BERT to classify COVID19 tweets containing symptoms—0
Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains—0
Emotional Embeddings: Refining Word Embeddings to Capture Emotional Content of Words—0
Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis—0
Extremal GloVe: Theoretically Accurate Distributed Word Embedding by Tail Inference—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
Extrapolating Binder Style Word Embeddings to New Words—0
FKIE_itf_2021 at CASE 2021 Task 1: Using Small Densely Fully Connected Neural Nets for Event Detection and Clustering—0
Combining Acoustics, Content and Interaction Features to Find Hot Spots in Meetings—0
Extractive Summarization using Continuous Vector Space Models—0
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models—0
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media—0
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings—0
Focusing Knowledge-based Graph Argument Mining via Topic Modeling—0
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment—0
Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines—0
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts—0
Extracting Temporal and Causal Relations between Events—0
FRAQUE: a FRAme-based QUEstion-answering system for the Public Administration domain—0
Extracting Tags from Large Raw Texts Using End-to-End Memory Networks—0
Extracting Social Networks from Literary Text with Word Embedding Tools—0
A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task—0
Show:102550
← PrevPage 64 of 161Next →

No leaderboard results yet.