document embedding

BERTopic for Topic Modeling of Hindi Short Texts: A Comparative Study COLING 2025 Beyond Citations: Integrating Finding-Based Relations for Improved Biomedical Article Representations ACL 2025 CEMTM: Contextual Embedding-based Multimodal Topic Modeling EMNLP 2025 Cognitive Linguistic Identity Fusion Score (CLIFS): A Scalable Cognition‐Informed Approach to Quantifying Identity Fusion from Text EMNLP 2025 Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings EMNLP 2025 Contextual Document Embeddings ICLR 2025 LLM-Guided Semantic-Aware Clustering for Topic Modeling ACL 2025 PQR: Improving Dense Retrieval via Potential Query Modeling ACL 2025 The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure EMNLP 2025 Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval ACL 2024 FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model NeurIPS 2024 FoTo: Targeted Visual Topic Modeling for Focused Analysis of Short Texts COLING 2024 NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents ACL 2024 OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement COLING 2024 Topic Detection and Tracking with Time-Aware Document Embeddings COLING 2024 Topic Modeling: Contextual Token Embeddings Are All You Need EMNLP 2024 Towards quantifying politicization in foreign aid project reports COLING 2024 Towards the TopMost: A Topic Modeling System Toolkit ACL 2024 xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token NeurIPS 2024 Are the Best Multilingual Document Embeddings simply Based on Sentence Embeddings? EACL 2023 Beyond Black Box AI generated Plagiarism Detection: From Sentence to Document Level ACL 2023 CSECU-DSG at SemEval-2023 Task 10: Exploiting Transformers with Stacked LSTM for the Explainable Detection of Online Sexism SemEval 2023 DocSplit: Simple Contrastive Pretraining for Large Document Embeddings EMNLP 2023 Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning ACL 2023 Great Bibliographies as a Source of Data for the Humanities – NLP in the Analysis of Gender of Book Authors in German Countries and in Poland (1801-2021) EACL 2023