SOTAVerified

Document Embedding

Papers

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
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text ClassificationCode1
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase ExtractionCode1
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global ContextCode1
Neighborhood Contrastive Learning for Scientific Document Representations with Citation EmbeddingsCode1
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
Crosslingual Document Embedding as Reduced-Rank Ridge RegressionCode0
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
Neural Document Embeddings for Intensive Care Patient Mortality PredictionCode0
hyperdoc2vec: Distributed Representations of Hypertext DocumentsCode0
Word Mover's Embedding: From Word2Vec to Document EmbeddingCode0
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
Sentiment Classification Using Document Embeddings Trained with Cosine SimilarityCode0
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling—0
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 via Contrastive Augmentation—0
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