English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Explainable question answering (XQA) aims to answer a given question andprovide an explanation why the answer is selected. Existing XQA methods focuson reasoning on a single knowledge source, e.g., structured knowledge bases,unstructured corpora, etc. However, integrating information from heterogeneousknowledge sources is essential to answer complex questions. In this paper, wepropose to leverage question decomposing for heterogeneous knowledgeintegration, by breaking down a complex question into simpler ones, andselecting the appropriate knowledge source for each sub-question. To facilitatereasoning, we propose a novel two-stage XQA framework, Reasoning overHierarchical Question Decomposition Tree (RoHT). First, we build theHierarchical Question Decomposition Tree (HQDT) to understand the semantics ofa complex question; then, we conduct probabilistic reasoning over HQDT fromroot to leaves recursively, to aggregate heterogeneous knowledge at differenttree levels and search for a best solution considering the decomposing andanswering probabilities. The experiments on complex QA datasets KQA Pro andMusique show that our framework outperforms SOTA methods significantly,demonstrating the effectiveness of leveraging question decomposing forknowledge integration and our RoHT framework.

Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering