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machine reading comprehension

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DataFunTalk
DataFunTalk
Sep 24, 2021 · Artificial Intelligence

Intelligent Question Answering in QQ Browser Search Engine: KBQA, DeepQA, and IRQA

This article presents the architecture, techniques, and practical solutions behind intelligent question answering in QQ Browser's search engine, covering knowledge‑graph based QA (KBQA), machine‑reading‑comprehension QA (DeepQA), and information‑retrieval QA (IRQA), and discusses system design, model optimization, and future directions.

AIKnowledge GraphNatural Language Processing
0 likes · 23 min read
Intelligent Question Answering in QQ Browser Search Engine: KBQA, DeepQA, and IRQA
DataFunTalk
DataFunTalk
Sep 14, 2021 · Artificial Intelligence

Multimodal and Human‑Computer Interaction Technologies for E‑commerce Live Streaming: From Q&A to Live Broadcast

This talk explores how multimodal AI, knowledge‑graph‑enhanced script generation, and advanced reading‑comprehension techniques enable virtual anchors to transform e‑commerce live streaming from simple Q&A bots into interactive, content‑rich live broadcasts, addressing challenges of material sourcing, personalization, and low‑latency response.

Content generationKnowledge GraphLiveQA
0 likes · 19 min read
Multimodal and Human‑Computer Interaction Technologies for E‑commerce Live Streaming: From Q&A to Live Broadcast
AntTech
AntTech
Apr 13, 2021 · Artificial Intelligence

Ant Financial’s ZhiXiaoBao Team Achieves Human-Level Scores on SQuAD 2.0 and Advances Machine Reading Comprehension

The ZhiXiaoBao technical team at Ant Financial broke the SQuAD 2.0 leaderboard with a model that surpasses human performance, detailing the challenges of natural‑language understanding, the specific ranking and data‑augmentation techniques they employed, and the broader impact on fintech knowledge‑base automation and future AI research.

FinTechNatural Language ProcessingSQuAD 2.0
0 likes · 9 min read
Ant Financial’s ZhiXiaoBao Team Achieves Human-Level Scores on SQuAD 2.0 and Advances Machine Reading Comprehension
DataFunTalk
DataFunTalk
Mar 18, 2021 · Artificial Intelligence

Advances in Baidu Knowledge Graph: Technologies, Applications, and Future Directions

This presentation by Baidu senior R&D engineer Wang Quan outlines the evolution, architecture, and recent breakthroughs of Baidu's knowledge graph, covering universal, event, video, and industry-specific graphs, key technologies such as open knowledge mining, self‑learning, multi‑source fusion, and their applications in search, recommendation, dialogue, and intelligent services.

Event ExtractionIndustry ApplicationsKnowledge Graph
0 likes · 22 min read
Advances in Baidu Knowledge Graph: Technologies, Applications, and Future Directions
DataFunTalk
DataFunTalk
Dec 21, 2020 · Artificial Intelligence

Intelligent Question Answering Technology Framework and Practices at Meituan

This article describes Meituan's intelligent question answering system, detailing its three core capabilities—Document QA, Community QA, and Knowledge‑Graph QA—along with the underlying machine‑reading comprehension models, multi‑task learning, answer ranking, and real‑world deployment scenarios across travel, hotel, and retail services.

Knowledge GraphMeituanNLP
0 likes · 22 min read
Intelligent Question Answering Technology Framework and Practices at Meituan
DataFunTalk
DataFunTalk
Mar 8, 2019 · Artificial Intelligence

Alibaba's Intelligent Service Bot (Ali Xiaomì): Platform Overview, Intent Recognition, Machine Reading Comprehension, Multi‑turn Recommendation, and Transfer Learning

The article presents an in‑depth overview of Alibaba's intelligent service bot Ali Xiaomì, covering its platform evolution, core NLP techniques such as intent recognition and machine reading comprehension, multi‑turn recommendation strategies, transfer‑learning approaches across domains and languages, and future technical challenges.

AIChatbotNatural Language Processing
0 likes · 11 min read
Alibaba's Intelligent Service Bot (Ali Xiaomì): Platform Overview, Intent Recognition, Machine Reading Comprehension, Multi‑turn Recommendation, and Transfer Learning
DataFunTalk
DataFunTalk
Dec 13, 2018 · Artificial Intelligence

Machine Reading Comprehension: From Traditional QA Systems to End‑to‑End Models and Voice Interaction Trends

This article presents an overview of machine reading comprehension, covering the evolution from modular question‑answering systems to end‑to‑end neural models, discusses key datasets such as SQuAD and MS MARCO, and explores voice interaction technologies and future industry trends.

BERTNLPmachine reading comprehension
0 likes · 13 min read
Machine Reading Comprehension: From Traditional QA Systems to End‑to‑End Models and Voice Interaction Trends