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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
Detecting Unseen Multiword Expressions in American Sign Language—0
Embodying Pre-Trained Word Embeddings Through Robot Actions—0
Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging—0
Emerging Cross-lingual Structure in Pretrained Language Models—0
EmoDet at SemEval-2019 Task 3: Emotion Detection in Text using Deep Learning—0
Building Semantic Grams of Human Knowledge—0
EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text—0
EmoNLP at IEST 2018: An Ensemble of Deep Learning Models and Gradient Boosting Regression Tree for Implicit Emotion Prediction in Tweets—0
Applying Multi-Sense Embeddings for German Verbs to Determine Semantic Relatedness and to Detect Non-Literal Language—0
EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network—0
An experimental study of the vision-bottleneck in VQA—0
Emotion-Cause Pair Extraction in Customer Reviews—0
Emotion Enriched Retrofitted Word Embeddings—0
A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity—0
EmotionX-Area66: Predicting Emotions in Dialogues using Hierarchical Attention Network with Sequence Labeling—0
Empirical Analysis of Image Caption Generation using Deep Learning—0
Empirical Autopsy of Deep Video Captioning Frameworks—0
Empirical Study of Diachronic Word Embeddings for Scarce Data—0
Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction—0
Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts—0
Evaluating a Multi-sense Definition Generation Model for Multiple Languages—0
Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces—0
Empty Category Detection using Path Features and Distributed Case Frames—0
Enabling Cognitive Intelligence Queries in Relational Databases using Low-dimensional Word Embeddings—0
Enabling Open-World Specification Mining via Unsupervised Learning—0
En-Ar Bilingual Word Embeddings without Word Alignment: Factors Effects—0
Encoders Help You Disambiguate Word Senses in Neural Machine Translation—0
Can Existing Methods Debias Languages Other than English? First Attempt to Analyze and Mitigate Japanese Word Embeddings—0
Encoding Prior Knowledge with Eigenword Embeddings—0
Encoding Sentiment Information into Word Vectors for Sentiment Analysis—0
Aligning Open IE Relations and KB Relations using a Siamese Network Based on Word Embedding—0
End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings—0
Active Discriminative Text Representation Learning—0
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications—0
Captioning Images with Novel Objects via Online Vocabulary Expansion—0
ENGLAWI: From Human- to Machine-Readable Wiktionary—0
English-Malay Cross-Lingual Embedding Alignment using Bilingual Lexicon Augmentation—0
English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention Network—0
English Resource Semantics—0
English WordNet Random Walk Pseudo-Corpora—0
A Preliminary Study on a Conceptual Game Feature Generation and Recommendation System—0
Enhanced Word Representations for Bridging Anaphora Resolution—0
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus—0
Case Studies on using Natural Language Processing Techniques in Customer Relationship Management Software—0
Enhancing Chinese Intent Classification by Dynamically Integrating Character Features into Word Embeddings with Ensemble Techniques—0
Enhancing Clinical Concept Extraction with Contextual Embeddings—0
Casteism in India, but Not Racism - a Study of Bias in Word Embeddings of Indian Languages—0
Enhancing General Sentiment Lexicons for Domain-Specific Use—0
Evaluating Feature Extraction Methods for Knowledge-based Biomedical Word Sense Disambiguation—0
Detecting Unassimilated Borrowings in Spanish: An Annotated Corpus and Approaches to Modeling—0
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