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Document Embedding

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Showing 51–75 of 78 papers

TitleStatusHype
Improve Document Embedding for Text Categorization Through Deep Siamese Neural Network—0
JOINTLY LEARNING TOPIC SPECIFIC WORD AND DOCUMENT EMBEDDING—0
KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering—0
LEA: Meta Knowledge-Driven Self-Attentive Document Embedding for Few-Shot Text Classification—0
Learning Document Embeddings With CNNs—0
Learning to Distill: The Essence Vector Modeling Framework—0
Leveraging Distributional Semantics for Multi-Label Learning—0
Long-length Legal Document Classification—0
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction—0
Measuring Issue Ownership using Word Embeddings—0
Evaluation of Field-Aware Neural Ranking Models for Recipe Search—0
Document Embedding with Paragraph VectorsCode0
Facilitating Interdisciplinary Knowledge Transfer with Research Paper Recommender SystemsCode0
Word Mover's Embedding: From Word2Vec to Document EmbeddingCode0
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative SamplingCode0
Approach to Predicting News -- A Precise Multi-LSTM Network With BERTCode0
CODER: An efficient framework for improving retrieval through COntextual Document Embedding RerankingCode0
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural NetworksCode0
Crosslingual Document Embedding as Reduced-Rank Ridge RegressionCode0
STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence EmbeddingsCode0
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding GenerationCode0
hyperdoc2vec: Distributed Representations of Hypertext DocumentsCode0
Multifaceted Domain-Specific Document EmbeddingsCode0
Unsupervised Learning of Discourse-Aware Text Representation for Essay ScoringCode0
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health ClassificationCode0
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