Cover Image

ClaimCompare: A Data Pipeline for Evaluation of Novelty Destroying Patent Pairs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Parikh, Arav, Dori-Hacohen, Shiri
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks
by: Shliselberg, Michael, et al.
Published: (2024)

Research on Evaluation Methods for Patent Novelty Search Systems and Empirical Analysis
by: Zhang, Shu, et al.
Published: (2025)

New Method for Keyword Extraction for Patent Claims
by: Rossi, Julien
Published: (2024)

Patent Novelty Assessment Accelerating Innovation and Patent Prosecution
by: Kashyap, Kapil, et al.
Published: (2025)

PatentEdits: Framing Patent Novelty as Textual Entailment
by: Lee, Ryan, et al.
Published: (2024)

Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval
by: Knappich, Valentin, et al.
Published: (2026)

Constructing and Evaluating Declarative RAG Pipelines in PyTerrier
by: Macdonald, Craig, et al.
Published: (2025)

Efficient Patent Searching Using Graph Transformers
by: Daniell, Krzysztof, et al.
Published: (2025)

DS@GT at CheckThat! 2025: Exploring Retrieval and Reranking Pipelines for Scientific Claim Source Retrieval on Social Media Discourse
by: Schofield, Jeanette, et al.
Published: (2025)

Text-to-Pipeline: Bridging Natural Language and Data Preparation Pipelines
by: Ge, Yuhang, et al.
Published: (2025)

Balancing Accuracy and Novelty with Sub-Item Popularity
by: Mallamaci, Chiara, et al.
Published: (2025)

WildClaims: Information Access Conversations in the Wild(Chat)
by: Joko, Hideaki, et al.
Published: (2025)

Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction
by: Shan, Jinzhi, et al.
Published: (2024)

OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment
by: Zhang, Ming, et al.
Published: (2026)

Natural Language Processing tools for Pharmaceutical Manufacturing Information Extraction from Patents
by: Alvarado-Maldonado, Diego, et al.
Published: (2025)

Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph
by: Xiong, Qiushi, et al.
Published: (2025)

Comparing Knowledge Sources for Open-Domain Scientific Claim Verification
by: Vladika, Juraj, et al.
Published: (2024)

Decoding Knowledge Claims: The Evaluation of Scientific Publication Contributions through Semantic Analysis
by: D'Aniello, Luca, et al.
Published: (2024)

Automated Neural Patent Landscaping in the Small Data Regime
by: Erana, Tisa Islam, et al.
Published: (2024)

GraphMind: Interactive Novelty Assessment System for Accelerating Scientific Discovery
by: da Silva, Italo Luis, et al.
Published: (2025)

Semantic Novelty Trajectories in 80,000 Books: A Cross-Corpus Embedding Analysis
by: Zimmerman, Fred
Published: (2026)

A Survey on Patent Analysis: From NLP to Multimodal AI
by: Shomee, Homaira Huda, et al.
Published: (2024)

LLM-powered Real-time Patent Citation Recommendation for Financial Technologies
by: Deng, Tianang, et al.
Published: (2026)

Beyond Single-Dimension Novelty: How Combinations of Theory, Method, and Results-based Novelty Shape Scientific Impact
by: Zhao, Yi, et al.
Published: (2026)

Patent-publication pairs for the detection of knowledge transfer from research to industry: reducing ambiguities with word embeddings and references
by: Lippert, Klaus, et al.
Published: (2024)

RAGXplain: From Explainable Evaluation to Actionable Guidance of RAG Pipelines
by: Cohen, Dvir, et al.
Published: (2025)

Evaluating Embedding Models and Pipeline Optimization for AI Search Quality
by: Zhong, Philip, et al.
Published: (2025)

When Relevance Meets Novelty: Dual-Stable Periodic Optimization for Serendipitous Recommendation
by: Lin, Hongxiang, et al.
Published: (2025)

Pipeline Inspection, Visualization, and Interoperability in PyTerrier
by: Lionis, Emmanouil Georgios, et al.
Published: (2026)

Peerispect: Claim Verification in Scientific Peer Reviews
by: Ghorbanpour, Ali, et al.
Published: (2026)

Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning
by: Sharma, Amit, et al.
Published: (2024)

On Precomputation and Caching in Information Retrieval Experiments with Pipeline Architectures
by: MacAvaney, Sean, et al.
Published: (2025)

A Systematic Study of Biomedical Retrieval Pipeline Trade-offs in Performance and Efficiency
by: Stepanyan, Hayk, et al.
Published: (2026)

A Hybrid Architecture for Multi-Stage Claim Document Understanding: Combining Vision-Language Models and Machine Learning for Real-Time Processing
by: Cheng, Lilu, et al.
Published: (2026)

Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications
by: Lin, Ethan, et al.
Published: (2024)

Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems
by: Hu, Jinxin, et al.
Published: (2026)

ClaimTrust: Propagation Trust Scoring for RAG Systems
by: Qian, Hangkai, et al.
Published: (2025)

FakeClaim: A Multiple Platform-driven Dataset for Identification of Fake News on 2023 Israel-Hamas War
by: Shahi, Gautam Kishore, et al.
Published: (2024)

Text2Struct: A Machine Learning Pipeline for Mining Structured Data from Text
by: Zhou, Chaochao, et al.
Published: (2022)

SPAR: Session-based Pipeline for Adaptive Retrieval on Legacy File Systems
by: Nguyen, Duy A., et al.
Published: (2025)