Evaluation of text-to-video generation models: A dynamics perspective

M Liao, H Lu, X Zhang, F Wan, T Wang, Y Zhao… - arXiv preprint arXiv …, 2024 - arxiv.org
Comprehensive and constructive evaluation protocols play an important role in the
development of sophisticated text-to-video (T2V) generation models. Existing evaluation …

Learning to generate programs for table fact verification via structure-aware semantic parsing

S Ou, Y Liu - Proceedings of the 60th Annual Meeting of the …, 2022 - aclanthology.org
Table fact verification aims to check the correctness of textual statements based on given
semi-structured data. Most existing methods are devoted to better comprehending logical …

Triple alignment-enhanced complex question answering over knowledge bases

D Wang, S Zhou, J Huang, X Ni - Neurocomputing, 2024 - Elsevier
Program induction is a crucial paradigm for complex question answering over knowledge
bases. In the existing learning framework, the predicted program is required to strictly align …

Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment

Y Tang, X Cheng, W Lu - arXiv preprint arXiv:2212.13036, 2022 - arxiv.org
Complex knowledge base question answering can be achieved by converting questions into
sequences of predefined actions. However, there is a significant semantic and structural gap …

[PDF][PDF] Multi-Target Semantic Parsing with Collaborative Deliberation Network

X Li, F Lei, S He, K Liu, J Zhao - Findings of the Association for …, 2023 - aclanthology.org
Semantic parsing aims at mapping natural language utterances into machine-interpretable
meaning representations, facilitating user accesses to knowledge bases. However …

Review of Text Neural Semantic Parsing Methods

S Lingyun, L Xiaoqiu - Data Analysis and Knowledge …, 2024 - manu44.magtech.com.cn
[Objective] This paper summarizes and comments on the research methods of text semantic
parsing with neural networks in the past decade.[Coverage] With Google Scholar and CNKI …