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Showing 51–78 of 78 papers

TitleStatusHype
STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence EmbeddingsCode0
Sentiment Classification Using Document Embeddings Trained with Cosine SimilarityCode0
Unsupervised Learning of Discourse-Aware Text Representation for Essay ScoringCode0
Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors—0
Terminology-based Text Embedding for Computing Document Similarities on Technical Content—0
Self-Discriminative Learning for Unsupervised Document Embedding—0
Crosslingual Document Embedding as Reduced-Rank Ridge RegressionCode0
Learning Outside the Box: Discourse-level Features Improve Metaphor IdentificationCode0
Measuring Issue Ownership using Word Embeddings—0
Word Mover's Embedding: From Word2Vec to Document EmbeddingCode0
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection—0
NMT-based Cross-lingual Document Embeddings—0
Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention—0
Document-based Recommender System for Job Postings using Dense Representations—0
hyperdoc2vec: Distributed Representations of Hypertext DocumentsCode0
Learning Document Embeddings With CNNs—0
Document Embedding Generation for Cyber-Aggressive Comment Detection using Supervised Machine Learning Approach—0
Unsupervised Document Embedding With CNNs—0
Leveraging Distributional Semantics for Multi-Label Learning—0
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations—0
Context Aware Document Embedding—0
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations—0
Distributed Representations of Signed Networks—0
Neural Document Embeddings for Intensive Care Patient Mortality PredictionCode0
Learning to Distill: The Essence Vector Modeling Framework—0
Distributed Representations for Biological Sequence Analysis—0
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding GenerationCode0
Document Embedding with Paragraph VectorsCode0
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