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 826–850 of 4002 papers

TitleStatusHype
The Impact of Word Embeddings on Neural Dependency Parsing—0
Position Masking for Improved Layout-Aware Document Understanding—0
Sense representations for Portuguese: experiments with sense embeddings and deep neural language models—0
Effectiveness of Deep Networks in NLP using BiDAF as an example architecture—0
Opinions are Made to be Changed: Temporally Adaptive Stance ClassificationCode0
Train Short, Test Long: Attention with Linear Biases Enables Input Length ExtrapolationCode2
Sarcasm Detection in Twitter -- Performance Impact while using Data Augmentation: Word EmbeddingsCode0
How Cute is Pikachu? Gathering and Ranking Pokémon Properties from Data with Pokémon Word Embeddings—0
Yseop at FinSim-3 Shared Task 2021: Specializing Financial Domain Learning with Phrase Representations—0
FeelsGoodMan: Inferring Semantics of Twitch Neologisms—0
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Report—0
IsoScore: Measuring the Uniformity of Embedding Space UtilizationCode1
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political BiasesCode0
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound—0
Efficacy of BERT embeddings on predicting disaster from Twitter dataCode0
Deriving Disinformation Insights from Geolocalized Twitter CalloutsCode0
Transferring Knowledge Distillation for Multilingual Social Event DetectionCode1
Detecting Requirements Smells With Deep Learning: Experiences, Challenges and Future Work—0
Evolution of emotion semanticsCode0
Syntagmatic Word Embeddings for Unsupervised Learning of Selectional PreferencesCode0
NPVec1: Word Embeddings for Nepali - Construction and EvaluationCode1
Implicit Phenomena in Short-answer Scoring Data—0
FKIE_itf_2021 at CASE 2021 Task 1: Using Small Densely Fully Connected Neural Nets for Event Detection and Clustering—0
MXX@FinSim3 - An LSTM–based approach with custom word embeddings for hypernym detection in financial texts—0
Paradigm Clustering with Weighted Edit Distance—0
Show:102550
← PrevPage 34 of 161Next →

No leaderboard results yet.