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Showing 1–50 of 78 papers

TitleStatusHype
BERTopic: Neural topic modeling with a class-based TF-IDF procedureCode5
QAEncoder: Towards Aligned Representation Learning in Question Answering SystemCode2
ARAGOG: Advanced RAG Output GradingCode2
Neighborhood Contrastive Learning for Scientific Document Representations with Citation EmbeddingsCode1
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase ExtractionCode1
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global ContextCode1
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text ClassificationCode1
Sentiment Classification Using Document Embeddings Trained with Cosine SimilarityCode0
Learning Outside the Box: Discourse-level Features Improve Metaphor IdentificationCode0
STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence EmbeddingsCode0
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural NetworksCode0
Facilitating Interdisciplinary Knowledge Transfer with Research Paper Recommender SystemsCode0
Unsupervised Document Embedding via Contrastive AugmentationCode0
Crosslingual Document Embedding as Reduced-Rank Ridge RegressionCode0
Unsupervised Learning of Discourse-Aware Text Representation for Essay ScoringCode0
Multifaceted Domain-Specific Document EmbeddingsCode0
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health ClassificationCode0
Neural Document Embeddings for Intensive Care Patient Mortality PredictionCode0
Word Mover's Embedding: From Word2Vec to Document EmbeddingCode0
hyperdoc2vec: Distributed Representations of Hypertext DocumentsCode0
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding GenerationCode0
Document Embedding with Paragraph VectorsCode0
CODER: An efficient framework for improving retrieval through COntextual Document Embedding RerankingCode0
Approach to Predicting News -- A Precise Multi-LSTM Network With BERTCode0
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative SamplingCode0
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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