Results 21 to 30 of about 5,810,256 (329)
Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA? [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Recent work has investigated the interesting question using pre-trained language models (PLMs) as knowledge bases for answering open questions. However, existing work is limited in using small benchmarks with high test-train overlaps.
Cunxiang Wang, Pai Liu, Yue Zhang
semanticscholar +1 more source
Role-Aware Modeling for N-ary Relational Knowledge Bases [PDF]
The Web Conference, 2021 N-ary relational knowledge bases (KBs) represent knowledge with binary and beyond-binary relational facts. Especially, in an n-ary relational fact, the involved entities play different roles, e.g., the ternary relation PlayCharacterIn consists of three ...
Yu Liu, Quanming Yao, Yong Li
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Program Transfer for Answering Complex Questions over Knowledge Bases [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Program induction for answering complex questions over knowledge bases (KBs) aims to decompose a question into a multi-step program, whose execution against the KB produces the final answer.
S. Cao +8 more
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Language Models as Knowledge Bases? [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 Recent progress in pretraining language models on large textual corpora led to a surge of improvements for downstream NLP tasks. Whilst learning linguistic knowledge, these models may also be storing relational knowledge present in the training data, and
F. Petroni +6 more
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Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases [PDF]
The Web Conference, 2020 Existing studies on question answering on knowledge bases (KBQA) mainly operate with the standard i.i.d. assumption, i.e., training distribution over questions is the same as the test distribution. However, i.i.d.
Yu Gu +6 more
semanticscholar +1 more source
Materializing Knowledge Bases via Trigger Graphs [PDF]
Proceedings of the VLDB Endowment, 2021 Thechaseis a well-established family of algorithms used to materialize Knowledge Bases (KBs) for tasks like query answering under dependencies or data cleaning. A general problem of chase algorithms is that they might perform redundant computations.
Efthymia Tsamoura +3 more
semanticscholar +1 more source
Informatika, 2023 Objectives. Specifications of models and tools for the development of artificial neural networks (ANNs) and their integration into knowledge bases (KBs) of intelligent systems are being developed.
M. V. Kovalev
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Effective knowledge‐based potentials [PDF]
Protein Science, 2009 AbstractEmpirical or knowledge‐based potentials have many applications in structural biology such as the prediction of protein structure, protein–protein, and protein–ligand interactions and in the evaluation of stability for mutant proteins, the assessment of errors in experimentally solved structures, and the design of new proteins. Here, we describe
Ferrada, E. +1 more
openaire +5 more sources
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases [PDF]
Found. Trends Databases, 2020 Equipping machines with comprehensive knowledge of the world's entities and their relationships has been a long-standing goal of AI. Over the last decade, large-scale knowledge bases, also known as knowledge graphs, have been automatically constructed ...
G. Weikum +3 more
semanticscholar +1 more source
Convolutional Adaptive Network for Link Prediction in Knowledge Bases
Applied Sciences, 2021 Knowledge bases (KBs) have become an integral element in digitalization strategies for intelligent engineering and manufacturing. Existing KBs consist of entities and relations and deal with issues of newly added knowledge and completeness.
Xiaoju Hou, Yanshen Liu, Zhifei Li
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