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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 1201–1250 of 4002 papers

TitleStatusHype
Neural Text Classification by Jointly Learning to Cluster and Align—0
Argument from Old Man's View: Assessing Social Bias in ArgumentationCode0
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity AnalysisCode0
Advancing Humor-Focused Sentiment Analysis through Improved Contextualized Embeddings and Model Architecture—0
Evaluating Input Representation for Language Identification in Hindi-English Code Mixed Text—0
DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word EmbeddingsCode0
Sensing Ambiguity in Henry James' "The Turn of the Screw"Code0
A semi-supervised model for Persian rumor verification based on content information—0
Self-Supervised learning with cross-modal transformers for emotion recognition—0
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLPCode1
Topology of Word Embeddings: Singularities Reflect Polysemy—0
Argumentative Topology: Finding Loop(holes) in Logic—0
Debiasing Convolutional Neural Networks via Meta OrthogonalizationCode0
Learning language variations in news corpora through differential embeddingsCode0
Deconstructing word embedding algorithms—0
Exploring the Value of Personalized Word Embeddings—0
Multilingual Irony Detection with Dependency Syntax and Neural ModelsCode0
Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks—0
Positional Artefacts Propagate Through Masked Language Model Embeddings—0
IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesCode1
Learning Efficient Task-Specific Meta-Embeddings with Word PrismsCode0
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
QMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian—0
Cross-lingual Word Embeddings beyond Zero-shot Machine Translation—0
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings—0
DNN-Based Semantic Model for Rescoring N-best Speech Recognition List—0
Machine Translation for English–Inuktitut with Segmentation, Data Acquisition and Pre-Training—0
Contextualized Embeddings for Connective Disambiguation in Shallow Discourse Parsing—0
Beyond Adjacency Pairs: Hierarchical Clustering of Long Sequences for Human-Machine Dialogues—0
One of these words is not like the other: a reproduction of outlier identification using non-contextual word representationsCode0
Evaluating Word Embeddings on Low-Resource Languages—0
Evaluating Word Embeddings for Language Acquisition—0
Diachronic Embeddings for People in the News—0
Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings—0
How does BERT capture semantics? A closer look at polysemous wordsCode0
Low-Resource Unsupervised NMT: Diagnosing the Problem and Providing a Linguistically Motivated SolutionCode0
Going Beyond T-SNE: Exposing whatlies in Text Embeddings—0
Combining BERT with Static Word Embeddings for Categorizing Social Media—0
ISWARA at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets using BERT and FastText Embeddings—0
“Did you really mean what you said?” : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word EmbeddingsCode1
The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish—0
Domain adaptation challenges of BERT in tokenization and sub-word representations of Out-of-Vocabulary words—0
Embedding Structured Dictionary Entries—0
Cross-Lingual Suicidal-Oriented Word Embedding toward Suicide Prevention—0
Cross-lingual Embeddings Reveal Universal and Lineage-Specific Patterns in Grammatical Gender Assignment—0
Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation—0
Robust Backed-off Estimation of Out-of-Vocabulary Embeddings—0
Analysing Word Representation from the Input and Output Embeddings in Neural Network Language ModelsCode0
Word associations and the distance properties of context-aware word embeddings—0
Rethinking Topic Modelling: From Document-Space to Term-Space—0
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