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New paper proposes 'Semantic Chains' for justified question answering

By PulseAugur Editorial · [1 sources] ·

This paper introduces "Semantic Chains," a novel method for constructing justified answers from questions by modeling context as a graph of logical facts. The approach involves finding a path of preserving edges from a root fact that justifies the answer back to objects mentioned in the question. This path ensures that all facts in the selected expansion are covered, allowing for a text that links the question to the answer and provides justification. The paper also details a complete enumeration of candidate orders for chains with multiple links, specifying conditions under which the link texts jointly preserve justification and support transitions. AI

IMPACT Introduces a new framework for question answering that could improve the explainability and trustworthiness of AI-generated responses.

RANK_REASON The cluster contains a research paper detailing a new method for question answering. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New paper proposes 'Semantic Chains' for justified question answering

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The cluster contains a research paper detailing a new method for question answering. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Misha Andreev ·

    Semantic Chains: From Reachable Facts to Justified Answers

    arXiv:2611.14252v1 Announce Type: new Abstract: How can the facts that justify an answer be found from a question and presented as a sequence of connected statements? This paper models a context as a graph of logical facts and takes as given which expressions represent each fact.…

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