document embedding

Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information ACL 2023 MIReAD: Simple Method for Learning High-quality Representations from Scientific Documents ACL 2023 Precise Zero-Shot Dense Retrieval without Relevance Labels ACL 2023 SciRepEval: A Multi-Format Benchmark for Scientific Document Representations EMNLP 2023 Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis EACL 2023 ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification COLING 2022 Coordinated Topic Modeling EMNLP 2022 Dynamic Topic Modeling by Clustering Embeddings from Pretrained Language Models: A Research Proposal AACL 2022 Evaluating Pre-Trained Sentence-BERT with Class Embeddings in Active Learning for Multi-Label Text Classification AACL 2022 I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification NeurIPS 2022 IISERB@LT-EDI-ACL2022: A Bag of Words and Document Embeddings Based Framework to Identify Severity of Depression Over Social Media ACL 2022 LEA: Meta Knowledge-Driven Self-Attentive Document Embedding for Few-Shot Text Classification NAACL 2022 MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction ACL 2022 Optimizing text representations to capture (dis)similarity between political parties CoNLL 2022 Sentence-level Privacy for Document Embeddings ACL 2022 Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision EMNLP 2022 Building the Directed Semantic Graph for Coherent Long Text Generation EMNLP 2021 CASE 2021 Task 2 Socio-political Fine-grained Event Classification using Fine-tuned RoBERTa Document Embeddings ACL 2021 Contrastive Document Representation Learning with Graph Attention Networks EMNLP 2021 Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling ACL 2021 Multifaceted Domain-Specific Document Embeddings NAACL 2021 Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence ACL 2021 WMDecompose: A Framework for Leveraging the Interpretable Properties of Word Mover’s Distance in Sociocultural Analysis EMNLP 2021 Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification EMNLP 2020 Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks ACL 2020