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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 1751–1800 of 4002 papers

TitleStatusHype
Contextualized Embeddings for Connective Disambiguation in Shallow Discourse Parsing—0
Analysis of Italian Word Embeddings—0
Contextualized Embeddings for Enriching Linguistic Analyses on Politeness—0
Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation—0
How to represent a word and predict it, too: Improving tied architectures for language modelling—0
Contextualized moral inference—0
How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis—0
Human-in-the-Loop Refinement of Word Embeddings—0
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition—0
Contextualized Word Embeddings Encode Aspects of Human-Like Word Sense Knowledge—0
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning—0
"Hunt Takes Hare": Theming Games Through Game-Word Vector Translation—0
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables—0
Improving Neural Network Performance by Injecting Background Knowledge: Detecting Code-switching and Borrowing in Algerian texts—0
Hybridation d'un agent conversationnel avec des plongements lexicaux pour la formation au diagnostic m\'edical (Hybridization of a conversational agent with word embeddings for medical diagnostic training)—0
Hybrid Code Networks using a convolutional neural network as an input layer achieves higher turn accuracy—0
Improving Opinion-Target Extraction with Character-Level Word Embeddings—0
Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes—0
Hyperbolic Centroid Calculations for Text Classification—0
Improving Verb Metaphor Detection by Propagating Abstractness to Words, Phrases and Individual Senses—0
Incorporating Relational Knowledge into Word Representations using Subspace Regularization—0
Hypothesis Testing based Intrinsic Evaluation of Word Embeddings—0
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification—0
ICL-HD at SemEval-2016 Task 10: Improving the Detection of Minimal Semantic Units and their Meanings with an Ontology and Word Embeddings—0
Continuous Word Embedding Fusion via Spectral Decomposition—0
A Distribution-based Model to Learn Bilingual Word Embeddings—0
A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings—0
Identification of Biased Terms in News Articles by Comparison of Outlet-specific Word Embeddings—0
Identification of Indigenous Knowledge Concepts through Semantic Networks, Spelling Tools and Word Embeddings—0
Identifying Aggression and Toxicity in Comments using Capsule Network—0
Identifying and interpreting non-aligned human conceptual representations using language modeling—0
Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings—0
Identifying attack and support argumentative relations using deep learning—0
Identifying Cognates in English-Dutch and French-Dutch by means of Orthographic Information and Cross-lingual Word Embeddings—0
Identifying Reference Spans: Topic Modeling and Word Embeddings help IR—0
Identity-sensitive Word Embedding through Heterogeneous Networks—0
Igbo Diacritic Restoration using Embedding Models—0
Igevorse at SemEval-2018 Task 10: Exploring an Impact of Word Embeddings Concatenation for Capturing Discriminative Attributes—0
Convolutional Neural Network for Universal Sentence Embeddings—0
IITK at the FinSim Task: Hypernym Detection in Financial Domain via Context-Free and Contextualized Word Embeddings—0
Des pseudo-sens pour am\'eliorer l'extraction de synonymes \`a partir de plongements lexicaux (Pseudo-senses for improving the extraction of synonyms from word embeddings)—0
IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text—0
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search—0
Image Captioning using Deep Stacked LSTMs, Contextual Word Embeddings and Data Augmentation—0
Image Captioning with Visual Object Representations Grounded in the Textual Modality—0
Convolutional Neural Networks for Sentiment Analysis on Weibo Data: A Natural Language Processing Approach—0
Impact of Gender Debiased Word Embeddings in Language Modeling—0
Impart Contextualization to Static Word Embeddings through Semantic Relations—0
Convolutional Sentence Kernel from Word Embeddings for Short Text Categorization—0
Designing a Russian Idiom-Annotated Corpus—0
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