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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

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Showing 3126–3150 of 4002 papers

TitleStatusHype
Multilingual Semantic Parsing And Code-SwitchingCode0
Representation Degeneration Problem in Training Natural Language Generation ModelsCode0
word2ket: Space-efficient Word Embeddings inspired by Quantum EntanglementCode0
Representation learning for very short texts using weighted word embedding aggregationCode0
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMsCode0
Contrastive Loss is All You Need to Recover Analogies as Parallel LinesCode0
Contrastive Learning in Distilled ModelsCode0
Multilingual transfer of acoustic word embeddings improves when training on languages related to the target zero-resource languageCode0
BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 LanguagesCode0
Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched DataCode0
Representation of linguistic form and function in recurrent neural networksCode0
Cross-Lingual Word Embeddings for Turkic LanguagesCode0
BL.Research at SemEval-2022 Task 1: Deep networks for Reverse Dictionary using embeddings and LSTM autoencodersCode0
BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition ModelingCode0
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding SpacesCode0
Cross-Lingual Word Representations via Spectral Graph EmbeddingsCode0
Unsupervised Cross-lingual Transfer of Word Embedding SpacesCode0
Crossmodal ASR Error Correction with Discrete Speech UnitsCode0
Representing Mixtures of Word Embeddings with Mixtures of Topic EmbeddingsCode0
Wasserstein Barycenter Model EnsemblingCode0
CS-Embed at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysisCode0
Auto-Encoding Dictionary Definitions into Consistent Word EmbeddingsCode0
Incorporating Latent Meanings of Morphological Compositions to Enhance Word EmbeddingsCode0
Contextual String Embeddings for Sequence LabelingCode0
Reproducing and learning new algebraic operations on word embeddings using genetic programmingCode0
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