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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 951–1000 of 4002 papers

TitleStatusHype
A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC—0
BioReddit: Word Embeddings for User-Generated Biomedical NLP—0
Cross-Lingual Word Embeddings and the Structure of the Human Bilingual Lexicon—0
Cross-lingual Word Embeddings beyond Zero-shot Machine Translation—0
Cross-Lingual Word Embeddings for Morphologically Rich Languages—0
Cross-Lingual Word Embeddings for Low-Resource Language Modeling—0
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach—0
Cross-lingual Word Embeddings in Hyperbolic Space—0
Abstractive Document Summarization with Word Embedding Reconstruction—0
DeepXML: Scalable & Accurate Deep Extreme Classification for Matching User Queries to Advertiser Bid Phrases—0
Automated Scoring of Clinical Expressive Language Evaluation Tasks—0
Cross-lingual Word Sense Disambiguation using mBERT Embeddings with Syntactic Dependencies—0
Automated Single-Label Patent Classification using Ensemble Classifiers—0
Crossword: Estimating Unknown Embeddings using Cross Attention and Alignment Strategies—0
CroVeWA: Crosslingual Vector-Based Writing Assistance—0
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers—0
Cseq2seq: Cyclic Sequence-to-Sequence Learning—0
CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment—0
Delexicalized Word Embeddings for Cross-lingual Dependency Parsing—0
CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification—0
Cultural Cartography with Word Embeddings—0
CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks—0
Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts—0
Current Trends and Approaches in Synonyms Extraction: Potential Adaptation to Arabic—0
Denoising Word Embeddings by Averaging in a Shared Space—0
Derivational Morphological Relations in Word Embeddings—0
Czech Historical Named Entity Corpus v 1.0—0
DAG-based Long Short-Term Memory for Neural Word Segmentation—0
Biomedical Question Answering via Weighted Neural Network Passage Retrieval—0
Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings—0
Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space—0
Data-Driven Mitigation of Adversarial Text Perturbation—0
Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing—0
Data Filtering using Cross-Lingual Word Embeddings—0
A Hierarchical Knowledge Representation for Expert Finding on Social Media—0
Data Sets: Word Embeddings Learned from Tweets and General Data—0
Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia—0
DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison—0
DCC-Uchile at SemEval-2020 Task 1: Temporal Referencing Word Embeddings—0
DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2—0
An efficient domain-independent approach for supervised keyphrase extraction and ranking—0
Debiasing Embeddings for Reduced Gender Bias in Text Classification—0
Automatic Generation of Multiple-Choice Questions—0
Bio-inspired Structure Identification in Language Embeddings—0
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention—0
Automatic Labeling of Problem-Solving Dialogues for Computational Microgenetic Learning Analytics—0
Debiasing Word Embeddings Improves Multimodal Machine Translation—0
Automatic Learning of Modality Exclusivity Norms with Crosslingual Word Embeddings—0
BioAMA: Towards an End to End BioMedical Question Answering System—0
A Note on Argumentative Topology: Circularity and Syllogisms as Unsolved Problems—0
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