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Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker
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The relationship between Recall and Precision
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Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval
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Enriching Word Embeddings for Patent Retrieval with Global Context
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Multilingual Patent Text Retrieval Evaluation: CLEF–IP
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Cross-Domain Retrieval in the Legal and Patent Domains: A Reproducibility Study
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COLIEE 2020: Methods for Legal Document Retrieval and Entailment
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Incorporating Ranking Context for End-to-End BERT Re-ranking
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Improving BERT-based Query-by-Document Retrieval with Multi-task Optimization
inferredcites →https://doi.org/10.1007/978-3-319-70145-5_14openalex-snapshot
Automatic Query Generation from Legal Texts for Case Law Retrieval
inferredcites →https://doi.org/10.1007/978-3-642-40802-1_25openalex-snapshot
Overview of CLEF-IP 2013 Lab
inferredcites →https://doi.org/10.1007/s10115-018-1322-7openalex-snapshot
Patent retrieval: a literature review
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Encoded summarization: summarizing documents into continuous vector space for legal case retrieval
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Attentive deep neural networks for legal document retrieval
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Evaluation and analysis of term scoring methods for term extraction
inferredcites →https://doi.org/10.1007/s12626-022-00105-zopenalex-snapshot
Overview and Discussion of the Competition on Legal Information Extraction/Entailment (COLIEE) 2021
inferredcites →https://doi.org/10.1016/j.is.2021.101793openalex-snapshot
Query by documents on top of a search interface
inferredcites →https://doi.org/10.1016/j.simpa.2021.100058openalex-snapshot
Spark NLP: Natural Language Understanding at Scale
inferredcites →https://doi.org/10.1108/eb026538openalex-snapshot
ON THE INVERSE RELATIONSHIP OF RECALL AND PRECISION
inferredcites →https://doi.org/10.1109/cvpr.2006.100openalex-snapshot
Dimensionality Reduction by Learning an Invariant Mapping
inferredcites →https://doi.org/10.1145/1458082.1458139openalex-snapshot
Revisiting the relationship between document length and relevance
inferredcites →https://doi.org/10.1145/2063576.2063871openalex-snapshot
Adaptive term frequency normalization for BM25
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Query-Driven Mining of Citation Networks for Patent Citation Retrieval and Recommendation
inferredcites →https://doi.org/10.1145/2808194.2809486openalex-snapshot
Verboseness Fission for BM25 Document Length Normalization
inferredcites →https://doi.org/10.1145/3539813.3545133openalex-snapshot
On the Interpolation of Contextualized Term-based Ranking with BM25 for Query-by-Example Retrieval
inferredcites →https://doi.org/10.1145/3568394openalex-snapshot
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval
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The Probabilistic Relevance Framework: BM25 and Beyond
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Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding
inferredcites →https://doi.org/10.18653/v1/2020.acl-demos.14openalex-snapshot
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.207openalex-snapshot
SPECTER: Document-level Representation Learning using Citation-informed Transformers
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.740openalex-snapshot
Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.550openalex-snapshot
Dense Passage Retrieval for Open-Domain Question Answering
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.733openalex-snapshot
On the Sentence Embeddings from Pre-trained Language Models
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.552openalex-snapshot
SimCSE: Simple Contrastive Learning of Sentence Embeddings
inferredcites →https://doi.org/10.18653/v1/2021.findings-acl.272openalex-snapshot
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference
inferredcites →https://doi.org/10.18653/v1/2021.findings-acl.334openalex-snapshot
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level
inferredcites →https://doi.org/10.18653/v1/2022.naacl-main.168openalex-snapshot
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval
inferredcites →https://doi.org/10.18653/v1/2022.naacl-main.331openalex-snapshot
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity
inferredcites →https://doi.org/10.18653/v1/d19-1openalex-snapshot
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
inferredcites →https://doi.org/10.18653/v1/d19-1352openalex-snapshot
Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval
inferredcites →https://doi.org/10.18653/v1/d19-1410openalex-snapshot
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
inferredcites →https://doi.org/10.18653/v1/d19-3openalex-snapshot
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations
inferredcites →https://doi.org/10.18653/v1/w19-2204openalex-snapshot
Sentence Boundary Detection in Legal Text
inferredcites →https://doi.org/10.24963/ijcai.2020/484openalex-snapshot
BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.cp.2025.31openalex-snapshot
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
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Analysis of Points of Interests Recommended for Leisure Walk Descriptions
inferredcites →https://doi.org/10.4230/tgdk.3.3.5openalex-snapshot
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
inferredcites →https://doi.org/10.48550/arxiv.1905.01758openalex-snapshot
Investigating the Successes and Failures of BERT for Passage Re-Ranking
inferredcites →https://doi.org/10.48550/arxiv.1905.01969openalex-snapshot
Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring
inferredcites →https://doi.org/10.48550/arxiv.1910.03771openalex-snapshot
HuggingFace's Transformers: State-of-the-art Natural Language Processing
inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-snapshot
PyTorch: An Imperative Style, High-Performance Deep Learning Library
inferredcites →https://doi.org/10.48550/arxiv.2002.10957openalex-snapshot
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
inferredcites →https://doi.org/10.48550/arxiv.2004.09297openalex-snapshot
MPNet: Masked and Permuted Pre-training for Language Understanding
inferredcites →https://doi.org/10.48550/arxiv.2009.09392openalex-snapshot
Longformer for MS MARCO Document Re-ranking Task
inferredcites →https://doi.org/10.48550/arxiv.2011.08071openalex-snapshot
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020
inferredcites →https://doi.org/10.48550/arxiv.2102.00650openalex-snapshot
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective
inferredcites →https://doi.org/10.48550/arxiv.2103.12906openalex-snapshot
CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Example
inferredcites →https://doi.org/10.48550/arxiv.2104.06979openalex-snapshot
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning
inferredcites →https://doi.org/10.48550/arxiv.2105.05686openalex-snapshot
Yes, BM25 is a Strong Baseline for Legal Case Retrieval
inferredcites →https://doi.org/10.48550/arxiv.2105.06020openalex-snapshot
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level
inferredcites →https://doi.org/10.5281/zenodo.12935200openalex-snapshot
Multilingual Classifier for Automatic Dewey Decimal Classification trained on Open Access Linguistics Abstracts
inferredcites →https://doi.org/10.5281/zenodo.21334049openalex-snapshot
A pre-registered, guard-cascaded instrument for retrodicting cross-field fusions in the arXiv corpus: nine artifact classes and a verdict-grade null for abstract-semantic fusion precursors
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Prompt-Based Effective Input Reformulation for Legal Case Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-031-56060-6_6openalex-snapshot
CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs
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From Proposals to Outcomes: Concept-Aligned Chunking for Cross-Document Relevance Assessment in Research Funding Review
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Retrieval-Augmented Generation (RAG) Using Summaries as Metadata for Efficient Retrieval
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From vectors to knowledge graphs: A comprehensive analysis of modern retrieval-augmented generation architectures
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Retrieval is NOT always needed: Exploring the timing of retrieval in dynamic retrieval-augmented generation
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Temporal Extraction and Retrieval
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Privacy in Information Retrieval
inferred← citeshttps://doi.org/10.1145/3674127.3674140openalex-snapshot
eCommerce Search and Discovery
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Searching Personal Collections
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Development and Evaluation of a Hybrid AI-Based System for Capstone Manuscript Retrieval: Validating Relevance Through Search Result Evaluation
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A Survey of Long-Document Retrieval in the PLM and LLM Era
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ContextGuard-RAG: Contextual Integrity-Aware Retrieval-Augmented Generation with Multi-Agent Privacy Enforcement for Sensitive Document Question Answering
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