Results 281 to 290 of about 3,740,163 (314)

Evidence Retrieval is almost All You Need for Fact Verification

Annual Meeting of the Association for Computational Linguistics
Current fact verification methods generally follow the two-stage training paradigm: evidence retrieval and claim verification. While existing works focus on developing sophisticated claim verification modules, the fundamental importance of evidence ...
Liwen Zheng, Chaozhuo Li, Xi Zhang, Yuming Shang, Feiran Huang, Haoran Jia   +5 more
semanticscholar   +1 more source

Fact Retrieval and Deductive Question-Answering Information Retrieval Systems

Journal of the ACM, 1964
Information Retrieval systems may be classified either as Document Retrieval systems or Fact Retrieval systems. It is contended that at least some of the latter will require the capability for performing logical deductions among natural language sentences. The problem of developing systems of logical inference for natural languages is discussed, and an
openaire   +2 more sources

Reinforcement Retrieval Leveraging Fine-grained Feedback for Fact Checking News Claims with Black-Box LLM

International Conference on Language Resources and Evaluation
Retrieval-augmented language models have exhibited promising performance across various areas of natural language processing (NLP), including fact-critical tasks.
Xuan Zhang, Wei Gao
semanticscholar   +1 more source

Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training

IEEE International Conference on Tools with Artificial Intelligence, 2020
Passage retrieval is a part of fact-checking and question answering systems that is critical yet often neglected. Most systems usually rely only on traditional sparse retrieval.
Chris Samarinas, Wynne Hsu, Mong Li Lee
exaly   +2 more sources

Emis: An online fact retrieval and publication system†

Information Processing & Management, 1982
Abstract EMIS is an online multi-purpose research tool for scientists and electrical engineers who study, process or use solid-state electronic materials. It provides for: (a) Retrieval of continuously updated information on hundreds of properties (selected materials). (b) Rapid publication of research results (all electronic materials).
openaire   +1 more source

CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-Checking

arXiv.org
Despite advancements in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems, their effectiveness is often hindered by a lack of integration with entity relationships and community structures, limiting their ability to provide ...
Rong-Ching Chang, Jiawei Zhang
semanticscholar   +1 more source

Similarity interference in learning and retrieving arithmetic facts

2016
Storing the solution of simple calculations in long-term memory is an important learning in primary school that is subsequently essential in adult daily living. While most children succeed in storing arithmetic facts to which they have been trained at school, huge individual differences are reported, particularly in children with developmental ...
A, De Visscher, M-P, Noël
openaire   +2 more sources

Retrieval-induced forgetting of arithmetic facts.

Journal of Experimental Psychology: Learning, Memory, and Cognition, 2012
Retrieval-induced forgetting (RIF) is a widely studied phenomenon of human memory, but RIF of arithmetic facts remains relatively unexplored. In 2 experiments, we investigated RIF of simple addition facts (2 + 3 = 5) from practice of their multiplication counterparts (2 × 3 = 6). In both experiments, robust RIF expressed in response times occurred only
Jamie I D, Campbell, Valerie A, Thompson
openaire   +2 more sources

Beyond Part Models: Person Retrieval with Refined Part Pooling

European Conference on Computer Vision, 2017
Employing part-level features for pedestrian image description offers fine-grained information and has been verified as beneficial for person retrieval in very recent literature.
Yifan Sun, Liang Zheng, Yi Yang, Q. Tian, Shengjin Wang   +4 more
semanticscholar   +1 more source

Efficient Retrieval of Knowledge Graph Fact Evidences

2019
We report preliminary results on the problem of efficient retrieval of evidences for knowledge graph (KG) facts from large document collections. KGs are rich repositories of human knowledge and real-world events. To verify and validate facts about entities, it is often required to spot their evidences in large news archives or on the Web.
Gupta, D., Berberich, K.
openaire   +2 more sources