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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 3751–3800 of 4002 papers

TitleStatusHype
Finding Convincing Arguments Using Scalable Bayesian Preference LearningCode0
A Self-supervised Representation Learning of Sentence Structure for Authorship AttributionCode0
xSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense NetworksCode0
Simple Unsupervised Similarity-Based Aspect ExtractionCode0
SimpLex: a lexical text simplification architectureCode0
The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraintsCode0
CharNER: Character-Level Named Entity RecognitionCode0
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as WellCode0
Characterizing the impact of geometric properties of word embeddings on task performanceCode0
Fine-tuning Tree-LSTM for phrase-level sentiment classification on a Polish dependency treebank. Submission to PolEval task 2Code0
WordNet EmbeddingsCode0
Finnish resources for evaluating language model semanticsCode0
The Paradigm Discovery ProblemCode0
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph FilteringCode0
Probabilistic Word Association for Dialogue Act Classification with Recurrent Neural NetworksCode0
A Robust Hybrid Approach for Textual Document ClassificationCode0
FLAG: Financial Long Document Classification via AMR-based GNNCode0
Probing Biomedical Embeddings from Language ModelsCode0
Word Embeddings Pointing the Way for Late AntiquityCode0
fMRI predictors based on language models of increasing complexity recover brain left lateralizationCode0
Probing for Semantic Classes: Diagnosing the Meaning Content of Word EmbeddingsCode0
Machine Translation with Cross-lingual Word EmbeddingsCode0
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More CitationsCode0
Analyzing Structures in the Semantic Vector Space: A Framework for Decomposing Word EmbeddingsCode0
FRAGE: Frequency-Agnostic Word RepresentationCode0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
Word Embeddings Quantify 100 Years of Gender and Ethnic StereotypesCode0
Characterizing Linguistic Shifts in Croatian News via Diachronic Word EmbeddingsCode0
Magnitude: A Fast, Efficient Universal Vector Embedding Utility PackageCode0
A Graph Degeneracy-based Approach to Keyword ExtractionCode0
Making Sense of Word EmbeddingsCode0
FreSaDa: A French Satire Data Set for Cross-Domain Satire DetectionCode0
UMUTeam at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Linguistic Features and Word EmbeddingsCode0
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word EmbeddingsCode0
From Hyperbolic Geometry Back to Word EmbeddingsCode0
Mapping distributional to model-theoretic semantic spaces: a baselineCode0
From Incremental Meaning to Semantic Unit (phrase by phrase)Code0
Mapping Supervised Bilingual Word Embeddings from English to low-resource languagesCode0
Profiling Bias in LLMs: Stereotype Dimensions in Contextual Word EmbeddingsCode0
From Paraphrase Database to Compositional Paraphrase Model and BackCode0
Profiling of Intertextuality in Latin Literature Using Word EmbeddingsCode0
Projective Methods for Mitigating Gender Bias in Pre-trained Language ModelsCode0
From Small to Large Language Models: Revisiting the Federalist PapersCode0
From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical ResourcesCode0
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-CorrectionCode0
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec ApproachCode0
ProMap: Effective Bilingual Lexicon Induction via Language Model PromptingCode0
Marked Attribute Bias in Natural Language InferenceCode0
Massively Multilingual Word EmbeddingsCode0
Frustratingly Easy Meta-Embedding -- Computing Meta-Embeddings by Averaging Source Word EmbeddingsCode0
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