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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 3201–3250 of 4002 papers

TitleStatusHype
Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia—0
Automatic Generation of Multiple-Choice Questions—0
Automatic Labeling of Problem-Solving Dialogues for Computational Microgenetic Learning Analytics—0
Automatic Learning of Modality Exclusivity Norms with Crosslingual Word Embeddings—0
Metaphor Interpretation Using Word Embeddings—0
Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings—0
Automatic Term Extraction from Newspaper Corpora: Making the Most of Specificity and Common Features—0
Automatic Transformation of Clinical Narratives into Structured Format—0
Automatic Triage of Mental Health Forum Posts—0
Automatic Word Association Norms (AWAN)—0
Automating Idea Unit Segmentation and Alignment for Assessing Reading Comprehension via Summary Protocol Analysis—0
AWE: Asymmetric Word Embedding for Textual Entailment—0
A Word Embedding Approach to Identifying Verb-Noun Idiomatic Combinations—0
A Word Embedding Approach to Predicting the Compositionality of Multiword Expressions—0
A Word-Embedding-based Sense Index for Regular Polysemy Representation—0
AZMAT: Sentence Similarity Using Associative Matrices—0
Massively Multilingual Lexical Specialization of Multilingual Transformers—0
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling—0
Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models—0
Bag-of-Vector Embeddings of Dependency Graphs for Semantic Induction—0
Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning—0
BAHP: Benchmark of Assessing Word Embeddings in Historical Portuguese—0
Balancing the composition of word embeddings across heterogenous data sets—0
Batch IS NOT Heavy: Learning Word Representations From All Samples—0
Bayesian Paragraph Vectors—0
BB\_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs—0
Beats of Bias: Analyzing Lyrics with Topic Modeling and Gender Bias Measurements—0
Bench-Marking And Improving Arabic Automatic Image Captioning Through The Use Of Multi-Task Learning Paradigm—0
Benchmarking zero-shot and few-shot approaches for tokenization, tagging, and dependency parsing of Tagalog text—0
BERT-based Ensembles for Modeling Disclosure and Support in Conversational Social Media Text—0
BERT-Based Neural Collaborative Filtering and Fixed-Length Contiguous Tokens Explanation—0
BERT-based Ranking for Biomedical Entity Normalization—0
BERTMap: A BERT-based Ontology Alignment System—0
BERTrade: Using Contextual Embeddings to Parse Old French—0
BERT's Conceptual Cartography: Mapping the Landscapes of Meaning—0
BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets—0
Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings—0
Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification—0
Better OOV Translation with Bilingual Terminology Mining—0
Better Word Representations with Recursive Neural Networks for Morphology—0
Beyond Adjacency Pairs: Hierarchical Clustering of Long Sequences for Human-Machine Dialogues—0
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context—0
Beyond Context: A New Perspective for Word Embeddings—0
Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring—0
Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring—0
Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases—0
BhamNLP at SemEval-2020 Task 12: An Ensemble of Different Word Embeddings and Emotion Transfer Learning for Arabic Offensive Language Identification in Social Media—0
Gender bias in (non)-contextual clinical word embeddings for stereotypical medical categories—0
Bias in word embeddings—0
Bidirectional Long Short-Term Memory Networks for Relation Classification—0
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