MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document

التفاصيل البيبلوغرافية
العنوان: MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document
المؤلفون: Chu, Zheng, Wang, Zekun, Liang, Jiafeng, Liu, Ming, Qin, Bing
سنة النشر: 2023
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computation and Language, Computer Science - Artificial Intelligence
الوصف: The facts and time in the document are intricately intertwined, making temporal reasoning over documents challenging. Previous work models time implicitly, making it difficult to handle such complex relationships. To address this issue, we propose MTGER, a novel Multi-view Temporal Graph Enhanced Temporal Reasoning framework for temporal reasoning over time-involved documents. Concretely, MTGER explicitly models the temporal relationships among facts by multi-view temporal graphs. On the one hand, the heterogeneous temporal graphs explicitly model the temporal and discourse relationships among facts; on the other hand, the multi-view mechanism captures both time-focused and fact-focused information, allowing the two views to complement each other through adaptive fusion. To further improve the implicit reasoning capability of the model, we design a self-supervised time-comparing objective. Extensive experimental results demonstrate the effectiveness of our method on the TimeQA and SituatedQA datasets. Furthermore, MTGER gives more consistent answers under question perturbations.
Comment: Findings of EMNLP 2023, long paper
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2311.04816
رقم الأكسشن: edsarx.2311.04816
قاعدة البيانات: arXiv