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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 701–750 of 4002 papers

TitleStatusHype
Design and Implementation of a Quantum Kernel for Natural Language ProcessingCode0
Generative Adversarial Networks for text using word2vec intermediariesCode0
Detecting Unassimilated Borrowings in Spanish: An Annotated Corpus and Approaches to ModelingCode0
DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word EmbeddingsCode0
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative NormalizationCode0
Churn Intent Detection in Multilingual Chatbot Conversations and Social MediaCode0
Density Matching for Bilingual Word EmbeddingCode0
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment AnalysisCode0
A Resource-Light Method for Cross-Lingual Semantic Textual SimilarityCode0
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph ModularityCode0
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and DocumentsCode0
DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entriesCode0
Definition Modeling: Learning to define word embeddings in natural languageCode0
Degree-Aware Alignment for Entities in TailCode0
GX at SemEval-2021 Task 2: BERT with Lemma Information for MCL-WiC TaskCode0
Classification and Clustering of Arguments with Contextualized Word EmbeddingsCode0
A Review of Different Word Embeddings for Sentiment Classification using Deep LearningCode0
Deriving Disinformation Insights from Geolocalized Twitter CalloutsCode0
Def2Vec: Extensible Word Embeddings from Dictionary DefinitionsCode0
Deep word embeddings for visual speech recognitionCode0
Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self AttentionCode0
Classifying Relations by Ranking with Convolutional Neural NetworksCode0
Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word VectorsCode0
Bigrams and BiLSTMs Two Neural Networks for Sequential Metaphor DetectionCode0
How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument StructureCode0
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 EmbeddingsCode0
Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist NewspapersCode0
How Gender and Skin Tone Modifiers Affect Emoji Semantics in TwitterCode0
Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical DataCode0
How to Evaluate Word Representations of Informal Domain?Code0
Deep Unordered Composition Rivals Syntactic Methods for Text ClassificationCode0
Are you tough enough? Framework for Robustness Validation of Machine Comprehension SystemsCode0
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword RepresentationsCode0
CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned RepresentationCode0
Definition Frames: Using Definitions for Hybrid Concept RepresentationsCode0
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention SelectionCode0
Argument from Old Man's View: Assessing Social Bias in ArgumentationCode0
Identification of Adjective-Noun Neologisms using Pretrained Language ModelsCode0
Interpretable Segmentation of Medical Free-Text Records Based on Word EmbeddingsCode0
Imparting Interpretability to Word Embeddings while Preserving Semantic StructureCode0
Dict2vec : Learning Word Embeddings using Lexical DictionariesCode0
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data SetCode0
A Robust Bias Mitigation Procedure Based on the Stereotype Content ModelCode0
A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding SpacesCode0
CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning ShiftsCode0
A Robust Hybrid Approach for Textual Document ClassificationCode0
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word VectorsCode0
End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-levelCode0
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as WellCode0
Deep Learning for Hate Speech Detection in TweetsCode0
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