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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 651–700 of 4002 papers

TitleStatusHype
Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis—0
Building Semantic Grams of Human Knowledge—0
Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources—0
Applying Multi-Sense Embeddings for German Verbs to Determine Semantic Relatedness and to Detect Non-Literal Language—0
Building Vision-Language Models on Solid Foundations with Masked Distillation—0
Building Web-Interfaces for Vector Semantic Models with the WebVectors Toolkit—0
Applying Word Embeddings to Measure Valence in Information Operations Targeting Journalists in Brazil—0
BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches—0
Apprentissage de plongements de mots dynamiques avec r\'egularisation de la d\'erive (Learning dynamic word embeddings with drift regularisation)—0
Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection—0
Can AI Generate Love Advice?: Toward Neural Answer Generation for Non-Factoid Questions—0
Can Domain Adaptation be Handled as Analogies?—0
Can Existing Methods Debias Languages Other than English? First Attempt to Analyze and Mitigate Japanese Word Embeddings—0
Can Eye Movement Data Be Used As Ground Truth For Word Embeddings Evaluation?—0
Aligning Open IE Relations and KB Relations using a Siamese Network Based on Word Embedding—0
Active Discriminative Text Representation Learning—0
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media—0
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs—0
Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models—0
A Preliminary Study on a Conceptual Game Feature Generation and Recommendation System—0
Case Studies on using Natural Language Processing Techniques in Customer Relationship Management Software—0
CAST: Corpus-Aware Self-similarity Enhanced Topic modelling—0
Casteism in India, but Not Racism - a Study of Bias in Word Embeddings of Indian Languages—0
Positional Artefacts Propagate Through Masked Language Model Embeddings—0
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images—0
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning—0
A Probabilistic Model for Learning Multi-Prototype Word Embeddings—0
Comparing Contextual and Static Word Embeddings with Small Data—0
應用詞向量於語言樣式探勘之研究 (Mining Language Patterns Using Word Embeddings) [In Chinese]—0
A Process for Topic Modelling Via Word Embeddings—0
Censorship of Online Encyclopedias: Implications for NLP Models—0
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data—0
CERM: Context-aware Literature-based Discovery via Sentiment Analysis—0
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Report—0
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging—0
Changes in Commuter Behavior from COVID-19 Lockdowns in the Atlanta Metropolitan Area—0
Boosting Named Entity Recognition with Neural Character Embeddings—0
Character aware models with similarity learning for metaphor detection—0
Character-Aware Neural Morphological Disambiguation—0
Character-based Neural Machine Translation—0
Character-based Neural Machine Translation—0
Arabic aspect sentiment polarity classification using BERT—0
An Unsupervised Approach for Mapping between Vector Spaces—0
Arabic POS Tagging: Don't Abandon Feature Engineering Just Yet—0
Co-learning of Word Representations and Morpheme Representations—0
A Linguistically Informed Convolutional Neural Network—0
Character n-gram Embeddings to Improve RNN Language Models—0
A Rank-Based Similarity Metric for Word Embeddings—0
ChatGPT-EDSS: Empathetic Dialogue Speech Synthesis Trained from ChatGPT-derived Context Word Embeddings—0
Combining Acoustics, Content and Interaction Features to Find Hot Spots in Meetings—0
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