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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 1801–1850 of 4002 papers

TitleStatusHype
Implicit Phenomena in Short-answer Scoring Data—0
Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings—0
Inducing Relational Knowledge from BERT—0
Importance of Self-Attention for Sentiment Analysis—0
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention—0
Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions—0
Improved Answer Selection with Pre-Trained Word Embeddings—0
Cooperative Semi-Supervised Transfer Learning of Machine Reading Comprehension—0
Improved CCG Parsing with Semi-supervised Supertagging—0
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data—0
Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence—0
CopyBERT: A Unified Approach to Question Generation with Self-Attention—0
Improved Semantic Representation for Domain-Specific Entities—0
Integrating Lexical Knowledge in Word Embeddings using Sprinkling and Retrofitting—0
Improved Text Classification via Contrastive Adversarial Training—0
Improved Word Embeddings with Implicit Structure Information—0
Corpus specificity in LSA and Word2vec: the role of out-of-domain documents—0
Analyzing Semantic Change in Japanese Loanwords—0
Improve Lexicon-based Word Embeddings By Word Sense Disambiguation—0
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors—0
Improving Aspect-Level Sentiment Analysis with Aspect Extraction—0
Improving average ranking precision in user searches for biomedical research datasets—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
Improving Biomedical Analogical Retrieval with Embedding of Structural Dependencies—0
A Dual Embedding Space Model for Document Ranking—0
A Comparative Study of Transformers on Word Sense Disambiguation—0
Count-Based and Predictive Language Models for Exploring DeReKo—0
A Twitter Corpus and Benchmark Resources for German Sentiment Analysis—0
Improving Disfluency Detection by Self-Training a Self-Attentive Model—0
Improving Distributional Similarity with Lessons Learned from Word Embeddings—0
Designing a Russian Idiom-Annotated Corpus—0
BERTrade: Using Contextual Embeddings to Parse Old French—0
BERTMap: A BERT-based Ontology Alignment System—0
Improving evaluation and optimization of MT systems against MEANT—0
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings—0
Improving Interpretability of Word Embeddings by Generating Definition and Usage—0
A Typedriven Vector Semantics for Ellipsis with Anaphora using Lambek Calculus with Limited Contraction—0
Analyzing the Framing of 2020 Presidential Candidates in the News—0
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations—0
Cross-Document Narrative Alignment of Environmental News: A Position Paper on the Challenge of Using Event Chains to Proxy Narrative Features—0
Improving Neural Knowledge Base Completion with Cross-Lingual Projections—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
Improving neural tagging with lexical information—0
Improving Opinion-Target Extraction with Character-Level Word Embeddings—0
Improving Optimization for Models With Continuous Symmetry Breaking—0
Improving Optimization in Models With Continuous Symmetry Breaking—0
Cross-Language Question Re-Ranking—0
Analyzing the Representational Geometry of Acoustic Word Embeddings—0
Describing Images using Inferred Visual Dependency Representations—0
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