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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 901–950 of 4002 papers

TitleStatusHype
Dictionary-based Debiasing of Pre-trained Word EmbeddingsCode0
A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution.Code0
Probing for Semantic Classes: Diagnosing the Meaning Content of Word EmbeddingsCode0
Profiling Bias in LLMs: Stereotype Dimensions in Contextual Word EmbeddingsCode0
Projective Methods for Mitigating Gender Bias in Pre-trained Language ModelsCode0
Coreference Resolution System for Indonesian Text with Mention Pair Method and Singleton Exclusion using Convolutional Neural NetworkCode0
Better Word Embeddings by Disentangling Contextual n-Gram InformationCode0
DialectGram: Detecting Dialectal Variation at Multiple Geographic ResolutionsCode0
Attentive Neural Network for Named Entity Recognition in VietnameseCode0
QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy ExpansionCode0
Correlations between Word Vector SetsCode0
CoSimLex: A Resource for Evaluating Graded Word Similarity in ContextCode0
Better Summarization Evaluation with Word Embeddings for ROUGECode0
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase GenerationCode0
Detecting Unassimilated Borrowings in Spanish: An Annotated Corpus and Approaches to ModelingCode0
Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue systemCode0
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon InductionCode0
Creative Contextual Dialog Adaptation in an Open World RPGCode0
[RE] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias MitigationCode0
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political BiasesCode0
Cross-domain Semantic Parsing via ParaphrasingCode0
Reinforced Counterfactual Data Augmentation for Dual Sentiment ClassificationCode0
Augmenting Data with Mixup for Sentence Classification: An Empirical StudyCode0
Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource LanguageCode0
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency ParsingCode0
Detecting Anxiety through RedditCode0
A Bi-Encoder LSTM Model For Learning Unstructured DialogsCode0
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!Code0
Cross-Lingual BERT Transformation for Zero-Shot Dependency ParsingCode0
Analyzing the Surprising Variability in Word Embedding Stability Across LanguagesCode0
Diachronic Word Embeddings Reveal Statistical Laws of Semantic ChangeCode0
Deriving Disinformation Insights from Geolocalized Twitter CalloutsCode0
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic ModelingCode0
Cross-lingual Dependency Parsing with Unlabeled Auxiliary LanguagesCode0
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention SelectionCode0
A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference ResolutionCode0
Revisiting Tri-training of Dependency ParsersCode0
RNN Embeddings for Identifying Difficult to Understand Medical WordsCode0
Cross-lingual Lexical Sememe PredictionCode0
Robust Cross-lingual Embeddings from Parallel SentencesCode0
Cross-lingual Models of Word Embeddings: An Empirical ComparisonCode0
Robust Gram EmbeddingsCode0
BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model PerformanceCode0
Russian word sense induction by clustering averaged word embeddingsCode0
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and DocumentsCode0
Design and Implementation of a Quantum Kernel for Natural Language ProcessingCode0
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding SpacesCode0
SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings EvaluationCode0
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic ChangeCode0
Diagnosing BERT with Retrieval HeuristicsCode0
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