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Document Embedding

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Showing 26–50 of 78 papers

TitleStatusHype
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions—0
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
Neural Embedding Allocation: Distributed Representations of Topic Models—0
NMT-based Cross-lingual Document Embeddings—0
NUIG at TIAD: Combining Unsupervised NLP and Graph Metrics for Translation Inference—0
rollama: An R package for using generative large language models through Ollama—0
Self-Discriminative Learning for Unsupervised Document Embedding—0
Sentiment Analysis on Brazilian Portuguese User Reviews—0
Shuffle & Divide: Contrastive Learning for Long Text—0
Distributed Representations of Signed Networks—0
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection—0
Terminology-based Text Embedding for Computing Document Similarities on Technical Content—0
Academic Expert Finding via (k,P)-Core based Embedding over Heterogeneous Graphs—0
Transformer based Multilingual document Embedding model—0
Unsupervised Document Embedding With CNNs—0
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