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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 2351–2400 of 4002 papers

TitleStatusHype
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach—0
Verb Argument Structure Alternations in Word and Sentence Embeddings—0
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish—0
Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data—0
Inline Detection of Domain Generation Algorithms with Context-Sensitive Word Embeddings—0
NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction—0
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors—0
Learning Relation Representations from Word Representations—0
Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy—0
HCU400: An Annotated Dataset for Exploring Aural Phenomenology Through Causal UncertaintyCode0
A Deterministic Algorithm for Bridging Anaphora Resolution—0
Few-shot Learning for Named Entity Recognition in Medical TextCode0
The Cinderella Complex: Word Embeddings Reveal ender Stereotypes in Movies and BooksCode0
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?—0
Learning Semantic Representations for Novel Words: Leveraging Both Form and ContextCode0
Neural sequence labeling for Vietnamese POS Tagging and NER—0
Deep Neural Networks for Query Expansion using Word Embeddings—0
microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF—0
Learning acoustic word embeddings with phonetically associated triplet network—0
Semantic Term "Blurring" and Stochastic "Barcoding" for Improved Unsupervised Text Classification—0
Unsupervised Hyperalignment for Multilingual Word Embeddings—0
ChemBoost: A chemical language based approach for protein-ligand binding affinity predictionCode0
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction—0
Multilingual Embeddings Jointly Induced from Contexts and Concepts: Simple, Strong and Scalable—0
Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based summarisation—0
Interpretable Word Embedding Contextualization—0
Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy—0
Robust Word Vectors: Context-Informed Embeddings for Noisy Texts—0
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models—0
Importance of Self-Attention for Sentiment Analysis—0
Stance Detection in Fake News A Combined Feature Representation—0
Normalization of Transliterated Words in Code-Mixed Data Using Seq2Seq Model \& Levenshtein Distance—0
A mostly unlexicalized model for recognizing textual entailment—0
GlobalTrait: Personality Alignment of Multilingual Word Embeddings—0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
Word-like character n-gram embeddingCode0
Truly unsupervised acoustic word embeddings using weak top-down constraints in encoder-decoder modelsCode0
SIEVE: Helping Developers Sift Wheat from Chaff via Cross-Platform Analysis—0
Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective—0
Attentive Neural Network for Named Entity Recognition in VietnameseCode0
Measuring Issue Ownership using Word Embeddings—0
Word Mover's Embedding: From Word2Vec to Document EmbeddingCode0
Subword Encoding in Lattice LSTM for Chinese Word SegmentationCode0
Magnitude: A Fast, Efficient Universal Vector Embedding Utility PackageCode0
Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations—0
Local Homology of Word Embeddings—0
Time-Aware and Corpus-Specific Entity Relatedness—0
Word Sense Induction using Knowledge Embeddings—0
Exponential Family Word Embeddings: An Iterative Approach for Learning Word Vectors—0
BioSentVec: creating sentence embeddings for biomedical textsCode0
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