SOTAVerified

Document Embedding

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 78 papers

TitleStatusHype
Sentiment Analysis on Brazilian Portuguese User Reviews—0
CAWESumm: A Contextual and Anonymous Walk Embedding Based Extractive Summarization of Legal Bills—0
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction—0
JOINTLY LEARNING TOPIC SPECIFIC WORD AND DOCUMENT EMBEDDING—0
College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion—0
Academic Expert Finding via (k,P)-Core based Embedding over Heterogeneous Graphs—0
Document Embedding for Scientific Articles: Efficacy of Word Embeddings vs TFIDF—0
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling—0
Multifaceted Domain-Specific Document EmbeddingsCode0
Evaluation of Field-Aware Neural Ranking Models for Recipe Search—0
Unsupervised Document Embedding via Contrastive AugmentationCode0
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions—0
Transformer based Multilingual document Embedding model—0
Improve Document Embedding for Text Categorization Through Deep Siamese Neural Network—0
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative SamplingCode0
NUIG at TIAD: Combining Unsupervised NLP and Graph Metrics for Translation Inference—0
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural NetworksCode0
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding—0
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health ClassificationCode0
Long-length Legal Document Classification—0
Doc2Vec on the PubMed corpus: study of a new approach to generate related articles—0
Discovering topics with neural topic models built from PLSA assumptions—0
Discovering Topics With Neural Topic Models Built From PLSA Loss—0
Neural Embedding Allocation: Distributed Representations of Topic Models—0
Evaluating the Utility of Document Embedding Vector Difference for Relation Learning—0
Show:102550
← PrevPage 2 of 4Next →

No leaderboard results yet.