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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 1551–1600 of 4002 papers

TitleStatusHype
Development of a Japanese Personality Dictionary based on Psychological Methods—0
Time-Aware Word Embeddings for Three Lebanese News ArchivesCode0
LMU Bilingual Dictionary Induction System with Word Surface Similarity Scores for BUCC 2020—0
Automatic Term Extraction from Newspaper Corpora: Making the Most of Specificity and Common Features—0
Line-a-line: A Tool for Annotating Word-Alignments—0
Automatic Creation of Correspondence Table of Meaning Tags from Two Dictionaries in One Language Using Bilingual Word Embedding—0
Voting for POS tagging of Latin texts: Using the flair of FLAIR to better Ensemble Classifiers by Example of Latin—0
Morphological Disambiguation of South S\'ami with FSTs and Neural Networks—0
TF-IDF Character N-grams versus Word Embedding-based Models for Fine-grained Event Classification: A Preliminary Study—0
French Contextualized Word-Embeddings with a sip of CaBeRnet: a New French Balanced Reference Corpus—0
FRAQUE: a FRAme-based QUEstion-answering system for the Public Administration domain—0
Combining Character and Word Embeddings for the Detection of Offensive Language in Arabic—0
Extrapolating Binder Style Word Embeddings to New Words—0
Mining Semantic Relations from Comparable Corpora through Intersections of Word Embeddings—0
Evaluating Word Embeddings for Indonesian--English Code-Mixed Text Based on Synthetic Data—0
Legal-ES: A Set of Large Scale Resources for Spanish Legal Text Processing—0
Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources—0
BUCC2020: Bilingual Dictionary Induction using Cross-lingual Embedding—0
``A Passage to India'': Pre-trained Word Embeddings for Indian Languages—0
OSACT4 Shared Tasks: Ensembled Stacked Classification for Offensive and Hate Speech in Arabic Tweets—0
Translating Knowledge Representations with Monolingual Word Embeddings: the Case of a Thesaurus on Corporate Non-Financial Reporting—0
Does History Matter? Using Narrative Context to Predict the Trajectory of Sentence Sentiment—0
Distributional Semantics for Neo-Latin—0
A Gradient Boosting-Seq2Seq System for Latin POS Tagging and Lemmatization—0
Sentiment Analysis for Hinglish Code-mixed Tweets by means of Cross-lingual Word Embeddings—0
Usability and Accessibility of Bantu Language Dictionaries in the Digital Age: Mobile Access in an Open Environment—0
Graph Exploration and Cross-lingual Word Embeddings for Translation Inference Across Dictionaries—0
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers—0
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries—0
Analyzing the Surprising Variability in Word Embedding Stability Across LanguagesCode0
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!Code1
UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change DetectionCode1
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic LanguagesCode1
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation—0
A Call for More Rigor in Unsupervised Cross-lingual Learning—0
Morphological Disambiguation of South Sámi with FSTs and Neural Networks—0
LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space—0
On the Reliability of Test Collections for Evaluating Systems of Different Types—0
Embarrassingly Simple Unsupervised Aspect ExtractionCode1
Intuitive Contrasting Map for Antonym EmbeddingsCode0
When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?Code0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
All Word Embeddings from One EmbeddingCode1
On Adversarial Examples for Biomedical NLP Tasks—0
Upgrading the Newsroom: An Automated Image Selection System for News Articles—0
Revisiting the Context Window for Cross-lingual Word Embeddings—0
Investigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets—0
A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT—0
Effect of Text Color on Word Embeddings—0
A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical AttentionCode0
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