Knowledge-based Question Answering (KBQA) System at Meituan: Design, Challenges, and Solutions

Meituan’s knowledge‑based question answering system tackles diverse, constraint‑rich, multi‑hop queries across pre‑sale, in‑sale and post‑sale scenarios by integrating fine‑grained query understanding, relation recognition, sub‑graph retrieval and answer ranking, employing optimized BERT models, pre‑training tasks, and domain‑specific enhancements to boost response speed, conversion rates, and benchmark performance, while acknowledging remaining challenges in long‑tail and complex queries.

KBQAMeituanNLP

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Knowledge-based Question Answering (KBQA) System at Meituan: Design, Challenges, and Solutions

Meituan Technology Team

Jun 24, 2021 · Artificial Intelligence

CCKS 2021 Life Service Domain Knowledge Graph Question Answering Competition

The CCKS 2021 Life Service Domain Knowledge Graph QA competition challenges participants to build Chinese question‑answering systems that retrieve factual answers from a combined OpenKG and Meituan life‑service graph, covering tasks such as entity recognition, relation extraction and semantic parsing, with registration May‑July, cash prizes up to ¥20 000 and internship offers for top student teams.

Artificial IntelligenceDatasetKBQA

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CCKS 2021 Life Service Domain Knowledge Graph Question Answering Competition

DataFunTalk

Jun 8, 2021 · Artificial Intelligence

CCKS 2021 Life Service Domain Knowledge Graph Question Answering Competition

The CCKS 2021 competition invites researchers to develop Chinese Knowledge Base Question Answering systems that leverage a life‑service knowledge graph from Meituan, offering detailed task description, dataset information, registration procedures, timelines, and prize incentives.

CCKS2021Chinese NLPKBQA

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Meituan Technology Team

May 20, 2021 · Artificial Intelligence

CKBQA Task for Chinese Knowledge Graph Question Answering

The CKBQA task introduced at CCKS2021 challenges participants to build Chinese knowledge‑graph question answering systems that combine Meituan’s life‑services KG with open‑domain data from PKUBASE, requiring accurate, efficient and explainable handling of both domain‑specific and open‑domain queries to advance real‑world applications such as smart customer service and e‑commerce.

AICCKS2021KBQA

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CKBQA Task for Chinese Knowledge Graph Question Answering

Tencent Cloud Developer

Nov 20, 2020 · Artificial Intelligence

Design of a Symbolic Evaluation Set for Knowledge Question Answering (KBQA)

The paper introduces a symbolic‑logic‑focused evaluation set for knowledge‑base question answering, defining single, deterministic, and non‑deterministic element symbols with linguistic tags, constructing complex celebrity‑domain queries, and showing that current commercial KBQA systems achieve only modest accuracy, highlighting the need for more robust reasoning capabilities.

AIKBQASymbolic Reasoning

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Design of a Symbolic Evaluation Set for Knowledge Question Answering (KBQA)

DataFunTalk

Dec 11, 2019 · Artificial Intelligence

Knowledge Structuring and Applications in Alibaba's Xiaomì Chatbot: From KBQA to EBQA

This article presents an in‑depth overview of Alibaba's Xiaomì conversational AI system, describing how structured knowledge—including FAQs, phrase‑based knowledge, knowledge graphs, and machine‑read documents—is organized into a two‑level schema and applied to knowledge‑based QA (KBQA) and event‑based QA (EBQA) with detailed model pipelines, ranking, type inference, and recommendation techniques, while also discussing practical challenges and future directions.

AIEBQAKBQA

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Knowledge Structuring and Applications in Alibaba's Xiaomì Chatbot: From KBQA to EBQA