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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 1551–1600 of 4002 papers

TitleStatusHype
Fast query-by-example speech search using separable model—0
Fast Query Expansion on an Accounting Corpus using Sub-Word Embeddings—0
Generic Embedding-Based Lexicons for Transparent and Reproducible Text Scoring—0
FBK HLT-MT at SemEval-2016 Task 1: Cross-lingual Semantic Similarity Measurement Using Quality Estimation Features and Compositional Bilingual Word Embeddings—0
Feasibility of BERT Embeddings For Domain-Specific Knowledge Mining—0
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition—0
Feature Embedding for Dependency Parsing—0
Feature Engineering vs BERT on Twitter Data—0
Detecting Figurative Word Occurrences Using Recurrent Neural Networks—0
FeelsGoodMan: Inferring Semantics of Twitch Neologisms—0
Detecting Fake News with Capsule Neural Networks—0
Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language—0
A Simple Fully Connected Network for Composing Word Embeddings from Characters—0
A mostly unlexicalized model for recognizing textual entailment—0
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF—0
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach—0
Combining word embeddings and convolutional neural networks to detect duplicated questions—0
Field Embedding: A Unified Grain-Based Framework for Word Representation—0
Figure Eight at SemEval-2019 Task 3: Ensemble of Transfer Learning Methods for Contextual Emotion Detection—0
Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation—0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
Finding Individual Word Sense Changes and their Delay in Appearance—0
Finding People's Professions and Nationalities Using Distant Supervision - The FMI@SU "goosefoot" team at the WSDM Cup 2017 Triple Scoring Task—0
Fine-Grained Contextual Predictions for Hard Sentiment Words—0
Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings—0
Finely Tuned, 2 Billion Token Based Word Embeddings for Portuguese—0
BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets—0
Fine-tuning BERT to classify COVID19 tweets containing symptoms—0
Detecting Cybersecurity Events from Noisy Short Text—0
Ask the GRU: Multi-Task Learning for Deep Text Recommendations—0
Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis—0
Community Evaluation and Exchange of Word Vectors at wordvectors.org—0
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell—0
First Bilingual Word Embeddings for te reo Māori and English: Towards Code-switching Detection in a Low-resourced setting—0
Fitting Semantic Relations to Word Embeddings—0
FKIE_itf_2021 at CASE 2021 Task 1: Using Small Densely Fully Connected Neural Nets for Event Detection and Clustering—0
A New Approach to Animacy Detection—0
Flexible and Scalable State Tracking Framework for Goal-Oriented Dialogue Systems—0
Self-supervised audio representation learning for mobile devices—0
FlorUniTo@TRAC-2: Retrofitting Word Embeddings on an Abusive Lexicon for Aggressive Language Detection—0
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings—0
Focusing Knowledge-based Graph Argument Mining via Topic Modeling—0
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition—0
Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines—0
Comparing Contextual and Static Word Embeddings with Small Data—0
Aspect-Based Sentiment Analysis Using Bitmask Bidirectional Long Short Term Memory Networks—0
FRAQUE: a FRAme-based QUEstion-answering system for the Public Administration domain—0
Detecting Cross-Lingual Plagiarism Using Simulated Word Embeddings—0
French Contextualized Word-Embeddings with a sip of CaBeRnet: a New French Balanced Reference Corpus—0
BERT's Conceptual Cartography: Mapping the Landscapes of Meaning—0
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