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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 1501–1550 of 4002 papers

TitleStatusHype
Aspect-based Opinion Summarization with Convolutional Neural Networks—0
A Multi-Domain Framework for Textual Similarity. A Case Study on Question-to-Question and Question-Answering Similarity Tasks—0
Comparative study of LSA vs Word2vec embeddings in small corpora: a case study in dreams database—0
Comparative Analysis of Static and Contextual Embeddings for Analyzing Semantic Changes in Medieval Latin Charters—0
ASOBEK at SemEval-2016 Task 1: Sentence Representation with Character N-gram Embeddings for Semantic Textual Similarity—0
A Multidimensional Lexicon for Interpersonal Stancetaking—0
A Deep Content-Based Model for Persian Rumor Verification—0
Community Evaluation and Exchange of Word Vectors at wordvectors.org—0
Ask the GRU: Multi-Task Learning for Deep Text Recommendations—0
Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research—0
Coming to its senses: Lessons learned from Approximating Retrofitted BERT representations for Word Sense information—0
A Simple Word Embedding Model for Lexical Substitution—0
Amrita\_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension—0
Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction—0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings—0
Combining word embeddings and convolutional neural networks to detect duplicated questions—0
A Simple Language Model based on PMI Matrix Approximations—0
Amplifying the Range of News Stories with Creativity: Methods and their Evaluation, in Portuguese—0
Addressing the Challenges of Cross-Lingual Hate Speech Detection—0
A Classification-Based Approach to Cognate Detection Combining Orthographic and Semantic Similarity Information—0
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach—0
A Simple Fully Connected Network for Composing Word Embeddings from Characters—0
A Simple Disaster-Related Knowledge Base for Intelligent Agents—0
A mostly unlexicalized model for recognizing textual entailment—0
Combining rule-based and embedding-based approaches to normalize textual entities with an ontology—0
Combining Qualitative and Computational Approaches for Literary Analysis of Finnish Novels—0
Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification—0
A Simple and Efficient Probabilistic Language model for Code-Mixed Text—0
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition—0
Addressing Noise in Multidialectal Word Embeddings—0
Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages—0
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search—0
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish—0
Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods—0
Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor—0
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction—0
Combining Discourse Markers and Cross-lingual Embeddings for Synonym--Antonym Classification—0
Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training—0
Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users—0
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language—0
A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP—0
Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook—0
FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering—0
Combining Character and Word Embeddings for the Detection of Offensive Language in Arabic—0
Fashioning Data - A Social Media Perspective on Fast Fashion Brands—0
Extremely Small BERT Models from Mixed-Vocabulary Training—0
Combining BERT with Static Word Embeddings for Categorizing Social Media—0
Faster Training of Word Embeddings—0
A Sequence Learning Method for Domain-Specific Entity Linking—0
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