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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 1301–1350 of 4002 papers

TitleStatusHype
TUE at SemEval-2020 Task 1: Detecting Semantic Change by Clustering Contextual Word Embeddings—0
Intrinsic analysis for dual word embedding space models—0
SMM4H Shared Task 2020 - A Hybrid Pipeline for Identifying Prescription Drug Abuse from Twitter: Machine Learning, Deep Learning, and Post-Processing—0
Generating Varied Training Corpora in Runyankore Using a Combined Semantic and Syntactic, Pattern-Grammar-based Approach—0
Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification—0
Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages—0
DiaSense at SemEval-2020 Task 1: Modeling Sense Change via Pre-trained BERT Embeddings—0
BhamNLP at SemEval-2020 Task 12: An Ensemble of Different Word Embeddings and Emotion Transfer Learning for Arabic Offensive Language Identification in Social Media—0
Leveraging Contextual Embeddings and Idiom Principle for Detecting Idiomaticity in Potentially Idiomatic Expressions—0
BERT-Based Neural Collaborative Filtering and Fixed-Length Contiguous Tokens Explanation—0
Demonstration of a Literature Based Discovery System based on Ontologies, Semantic Filters and Word Embeddings for the Raynaud Disease-Fish Oil Rediscovery—0
Interdependencies of Gender and Race in Contextualized Word Embeddings—0
Learning Negation Scope from Syntactic Structure—0
“Shakespeare in the Vectorian Age” – An evaluation of different word embeddings and NLP parameters for the detection of Shakespeare quotes—0
An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings—0
Blind signal decomposition of various word embeddings based on join and individual variance explained—0
A Deep Content-Based Model for Persian Rumor Verification—0
Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space—0
Unsupervised Word Translation Pairing using Refinement based Point Set Registration—0
Improving Biomedical Named Entity Recognition with Syntactic InformationCode0
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity AnalysisCode0
Neural Text Classification by Jointly Learning to Cluster and Align—0
Argument from Old Man's View: Assessing Social Bias in ArgumentationCode0
Acoustic span embeddings for multilingual query-by-example searchCode0
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
Self-Supervised learning with cross-modal transformers for emotion recognition—0
A semi-supervised model for Persian rumor verification based on content information—0
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
Learning Efficient Task-Specific Meta-Embeddings with Word PrismsCode0
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
Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios—0
Revisiting Representation Degeneration Problem in Language Modeling—0
How does BERT capture semantics? A closer look at polysemous wordsCode0
Pre-tokenization of Multi-word Expressions in Cross-lingual Word Embeddings—0
Understanding the Source of Semantic Regularities in Word Embeddings—0
Cross-Lingual Suicidal-Oriented Word Embedding toward Suicide Prevention—0
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