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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 1001–1050 of 4002 papers

TitleStatusHype
Decision-Directed Data DecompositionCode0
Dynamic Word Embeddings for Evolving Semantic DiscoveryCode0
An embedded segmental K-means model for unsupervised segmentation and clustering of speechCode0
Topic Modeling over Short Texts by Incorporating Word EmbeddingsCode0
An Evaluation Dataset for Legal Word Embedding: A Case Study On Chinese CodexCode0
Towards a unified framework for bilingual terminology extraction of single-word and multi-word termsCode0
Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based ApproachCode0
E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book SystemsCode0
Towards Multi-Sense Cross-Lingual Alignment of Contextual EmbeddingsCode0
Towards preserving word order importance through Forced InvalidationCode0
Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of TwitterCode0
Towards Understanding the Geometry of Knowledge Graph EmbeddingsCode0
Dynamic Bernoulli Embeddings for Language EvolutionCode0
Tracing cultural diachronic semantic shifts in Russian using word embeddings: test sets and baselinesCode0
Dynamic Meta-Embeddings for Improved Sentence RepresentationsCode0
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding GenerationCode0
Deep convolutional acoustic word embeddings using word-pair side informationCode0
AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity SummarizationCode0
DUKweb: Diachronic word representations from the UK Web Archive corpusCode0
Dynamic Word EmbeddingsCode0
AWE-CM Vectors: Augmenting Word Embeddings with a Clinical MetathesaurusCode0
Deeper Text Understanding for IR with Contextual Neural Language ModelingCode0
Edinburgh at SemEval-2022 Task 1: Jointly Fishing for Word Embeddings and DefinitionsCode0
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word VectorsCode0
Domain Adapted Word Embeddings for Improved Sentiment ClassificationCode0
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a DiscourseCode0
Domain-Specific Word Embeddings with Structure PredictionCode0
Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense LabelingCode0
BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMsCode0
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word EmbeddingsCode0
Document Embedding with Paragraph VectorsCode0
Baselines and test data for cross-lingual inferenceCode0
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?Code0
Does mBERT understand Romansh? Evaluating word embeddings using word alignmentCode0
Do Word Embeddings Capture Spelling Variation?Code0
Effective Dimensionality Reduction for Word EmbeddingsCode0
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling MechanismsCode0
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph FilteringCode0
Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgroupingCode0
Discovering emergent connections in quantum physics research via dynamic word embeddingsCode0
Discriminating between Lexico-Semantic Relations with the Specialization Tensor ModelCode0
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language ModelsCode0
Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social MediaCode0
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal GuidanceCode0
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective DetectionCode0
Discovering and Interpreting Biased Concepts in Online CommunitiesCode0
Dict2vec : Learning Word Embeddings using Lexical DictionariesCode0
Bad Company---Neighborhoods in Neural Embedding Spaces Considered HarmfulCode0
Dictionary-based Debiasing of Pre-trained Word EmbeddingsCode0
Distilling Word Meaning in Context from Pre-trained Language ModelsCode0
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