| Learning Document Embeddings With CNNs | Jan 1, 2018 | Document EmbeddingLanguage Modeling | —Unverified | 0 | 0 |
| Learning to Distill: The Essence Vector Modeling Framework | Nov 22, 2016 | DenoisingDocument Embedding | —Unverified | 0 | 0 |
| Leveraging Distributional Semantics for Multi-Label Learning | Sep 18, 2017 | Document EmbeddingMissing Labels | —Unverified | 0 | 0 |
| Long-length Legal Document Classification | Dec 14, 2019 | ClassificationDocument Classification | —Unverified | 0 | 0 |
| MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction | Nov 16, 2021 | Contrastive LearningDocument Embedding | —Unverified | 0 | 0 |
| Measuring Issue Ownership using Word Embeddings | Oct 31, 2018 | Document EmbeddingWord Embeddings | —Unverified | 0 | 0 |
| Evaluation of Field-Aware Neural Ranking Models for Recipe Search | May 12, 2021 | Document Embeddingfeature selection | —Unverified | 0 | 0 |
| Neural Embedding Allocation: Distributed Representations of Topic Models | Sep 10, 2019 | Document EmbeddingTopic Models | —Unverified | 0 | 0 |
| NMT-based Cross-lingual Document Embeddings | Jul 29, 2018 | Cross-Lingual Document ClassificationDocument Classification | —Unverified | 0 | 0 |
| NUIG at TIAD: Combining Unsupervised NLP and Graph Metrics for Translation Inference | May 1, 2020 | Document EmbeddingMachine Translation | —Unverified | 0 | 0 |
