Graph-based reasoning over heterogeneous
WebCommonsense ††footnotetext: *Equal Contributions. Work was done while this author was an intern at Microsoft Research Asia. question answering aims to answer questions which require background knowledge that is not explicitly expressed in the question. The key challenge is how to obtain evidence from external knowledge and make predictions … WebDec 11, 2024 · 3.2.2 Graph reasoning. To further reason over the heterogeneous graph, we first employ pre-trained word representations GLoVe to represent each node in the high dimensional vector space. After that, bidirectional recurrent neural networks with gated recurrent units (BiGRU) is applied to encode questions, sentences, and candidates …
Graph-based reasoning over heterogeneous
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Webart models typically use graph neural networks (GNNs) to perform reasoning over heterogeneous graphs containing numbers and en-tities, to enhance their numerical reasoning ability. However, their GNN module treats heterogeneous graphs as homogeneous and only aggregates information of direct neighbor nodes, thus ignor- Web• Using a heterogeneous information network to fuse semantic and structural features. • A graph neu... Abstract Topic-based communities have gradually become a considerable medium for netizens to disseminate and acquire knowledge. These communities consist of entities (actual objects, e.g., a real a...
WebJan 25, 2024 · Although it is appealing in theory, it is a non-trivial problem to optimize a long-term reward for opinion extraction in practice. First, aspect-opinion interaction data is usually complicated. For a given aspect term, it is challenging to recognize all opinion terms by reasoning over such a multiplex heterogeneous graph.
Websince it requires an adequate comprehension of the whole document and the multi-hop reasoning ability across multiple sentences to reach the final result. In this paper, we propose a novel graph-based model with Dual-tier Heterogeneous Graph (DHG) for document-level RE. In particular, WebApr 29, 2024 · 论文题目：Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. 论文来源：AAAI 2024 信工所，北 …
WebThe target of the multi-hop knowledge base question-answering task is to find answers of some factoid questions by reasoning across multiple knowledge triples in the knowledge base. Most of the existing methods for multi-hop knowledge base question answering based on a general knowledge graph ignore the semantic relationship between each hop. …
WebNov 1, 2024 · Abstract. Target-oriented Opinion Word Extraction (TOWE) is a new emerging subtask of Aspect Based Sentiment Analysis (ABSA), which aims to extract fine-grained opinion terms for a given aspect ... good thumbnails fortniteWebHighlights • A heterogeneous graph-based evidence representation method is proposed. • A hierarchical reasoning-based node features aggregation strategy is designed. ... G., & Huang, J., et al. (2024). Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs. In Proceedings of the 57th Annual Meeting ... chev water pumpWebSep 4, 2024 · It represents schema graphs with a novel knowledge-aware graph network module named KagNet, and finally scores answers with graph representations. Our model is based on graph convolutional networks and LSTMs, with a hierarchical path-based attention mechanism. The intermediate attention scores make it transparent and … chev vans calgary