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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 3601–3650 of 4002 papers

TitleStatusHype
Sense Embeddings in Knowledge-Based Word Sense DisambiguationCode0
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level RepresentationCode0
Assessing Wordnets with WordNet EmbeddingsCode0
Text Segmentation based on Semantic Word EmbeddingsCode0
A Common Semantic Space for Monolingual and Cross-Lingual Meta-EmbeddingsCode0
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddingsCode0
Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name TypingCode0
Assessing the Reliability of Word Embedding Gender Bias MeasuresCode0
Word Discriminations for Vocabulary Inventory PredictionCode0
Evaluating Word Embeddings with Categorical ModularityCode0
Sensing Ambiguity in Henry James' "The Turn of the Screw"Code0
Assessing Social and Intersectional Biases in Contextualized Word RepresentationsCode0
Paraphrases do not explain word analogiesCode0
Learning Word Embeddings with Domain AwarenessCode0
Evaluation of Croatian Word EmbeddingsCode0
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional PriorCode0
Sentence Alignment with Parallel Documents Facilitates Biomedical Machine TranslationCode0
Learning Word Meta-Embeddings by AutoencodingCode0
Truly unsupervised acoustic word embeddings using weak top-down constraints in encoder-decoder modelsCode0
Urdu Word EmbeddingsCode0
TF-CR: Weighting Embeddings for Text ClassificationCode0
Evaluation of sentence embeddings in downstream and linguistic probing tasksCode0
Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task TrainingCode0
URLNet: Learning a URL Representation with Deep Learning for Malicious URL DetectionCode0
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial StudyCode0
The 2022 n2c2/UW Shared Task on Extracting Social Determinants of HealthCode0
Evaluation Of Word Embeddings From Large-Scale French Web ContentCode0
Evaluation of Word Vector Representations by Subspace AlignmentCode0
Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRFCode0
PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian TweetsCode0
LenAtten: An Effective Length Controlling Unit For Text SummarizationCode0
The AI-KU System at the SPMRL 2013 Shared Task : Unsupervised Features for Dependency ParsingCode0
Zero-training Sentence Embedding via Orthogonal BasisCode0
The BIAS Detection Framework: Bias Detection in Word Embeddings and Language Models for European LanguagesCode0
Evolution of emotion semanticsCode0
Leverage Points in Modality Shifts: Comparing Language-only and Multimodal Word RepresentationsCode0
Word-like character n-gram embeddingCode0
A Co-Attentive Cross-Lingual Neural Model for Dialogue Breakdown DetectionCode0
TurkishDelightNLP: A Neural Turkish NLP ToolkitCode0
Examining Gender Bias in Languages with Grammatical GenderCode0
Leveraging Dependency Grammar for Fine-Grained Offensive Language Detection using Graph Convolutional NetworksCode0
PESTO: Switching Point based Dynamic and Relative Positional Encoding for Code-Mixed LanguagesCode0
A Simple Approach to Learn Polysemous Word EmbeddingsCode0
Veyn at PARSEME Shared Task 2018: Recurrent Neural Networks for VMWE IdentificationCode0
ChemBoost: A chemical language based approach for protein-ligand binding affinity predictionCode0
Sentiment Analysis of Citations Using Word2vecCode0
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-TrainingCode0
Expert Concept-Modeling Ground Truth Construction for Word Embeddings Evaluation in Concept-Focused DomainsCode0
Sentiment Analysis of Yelp Reviews: A Comparison of Techniques and ModelsCode0
pioNER: Datasets and Baselines for Armenian Named Entity RecognitionCode0
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