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Tencent Advertising Technology
Tencent Advertising Technology
Aug 15, 2024 · Artificial Intelligence

Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding

This paper introduces RLLR, a label‑sensitive reward reinforcement learning method that improves natural language understanding tasks by aligning training objectives with label accuracy, and demonstrates its effectiveness across eight public NLU datasets and real‑world advertising feature evaluation, outperforming standard RLHF and SFT baselines.

AdvertisingRLHFlabel-sensitive reward
0 likes · 14 min read
Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding
DataFunSummit
DataFunSummit
Apr 1, 2022 · Artificial Intelligence

Detecting Invalid Queries in Voice Interaction: Non‑Human Interaction and Ambiguous Intent Recognition

This talk presents a comprehensive study of invalid query detection in voice assistants, covering the definition of effective and ineffective queries, challenges of non‑human interaction and ambiguous intent recognition, data collection, model design, experimental results, user‑feedback loops, and future research directions.

invalid query detectionmachine learningnatural language understanding
0 likes · 20 min read
Detecting Invalid Queries in Voice Interaction: Non‑Human Interaction and Ambiguous Intent Recognition
Ctrip Technology
Ctrip Technology
Jun 18, 2020 · Artificial Intelligence

Design and Implementation of a One‑Stop Customer Service Chatbot at Ctrip

This article describes the motivation, advantages, challenges, overall architecture, and natural‑language‑understanding algorithms of Ctrip’s one‑stop chatbot that consolidates multi‑service line support into a single entry, enabling seamless travel‑related queries, recommendations, and bookings.

AIChatbotCtrip
0 likes · 13 min read
Design and Implementation of a One‑Stop Customer Service Chatbot at Ctrip
DataFunTalk
DataFunTalk
Mar 19, 2020 · Artificial Intelligence

Advances in Voice Interaction: 360's Intelligent Dialogue System Architecture and Core Technologies

This article presents a comprehensive overview of 360's voice interaction platform, detailing dialogue system fundamentals, platform architecture, and core technologies such as semantic understanding, dialog management, and question answering, all driven by deep learning and multimodal innovations.

AIKnowledge Graphdialogue system
0 likes · 16 min read
Advances in Voice Interaction: 360's Intelligent Dialogue System Architecture and Core Technologies
AntTech
AntTech
Feb 14, 2020 · Artificial Intelligence

AI-Powered Intelligent Voice Robots in Alipay: Technology, Applications, and Future

During the COVID‑19 pandemic, Alipay deployed AI‑enabled intelligent voice robots to handle massive call volumes, detailing the underlying technologies such as imitation learning, reinforcement learning, few‑shot intent recognition, and user simulation, while outlining current applications across finance, retail, security, and future prospects for automated customer service.

AIAlipayCustomer Service Automation
0 likes · 11 min read
AI-Powered Intelligent Voice Robots in Alipay: Technology, Applications, and Future
DataFunTalk
DataFunTalk
Sep 19, 2019 · Artificial Intelligence

Alibaba Cloud Xiaomai Dialogue System: Architecture, NLU, Dialogue Management, and User Simulator

This article presents Alibaba's Xiaomai intelligent dialogue platform, detailing its general system architecture, three-tier NLU approaches for zero‑, few‑, and many‑shot scenarios, platform‑centric dialogue management with TaskFlow, robustness and continuous learning mechanisms, and a user simulator for large‑scale data generation and dialogue diagnosis.

dialogue systemmeta-learningnatural language understanding
0 likes · 13 min read
Alibaba Cloud Xiaomai Dialogue System: Architecture, NLU, Dialogue Management, and User Simulator
JD Tech
JD Tech
Jul 27, 2018 · Artificial Intelligence

Insights into JD DingDong Smart Speaker: Speech Recognition, Custom Wake Words, and Natural Language Understanding

The article interviews JD DingDong's chief scientist to detail the speaker's three‑year evolution, covering microphone‑array technology, advanced Chinese speech recognition, custom wake‑word solutions, integrated NLU methods, product‑technology trade‑offs, and future directions for the AI‑driven smart speaker.

JD DingDongcustom wake wordnatural language understanding
0 likes · 7 min read
Insights into JD DingDong Smart Speaker: Speech Recognition, Custom Wake Words, and Natural Language Understanding
Hujiang Technology
Hujiang Technology
May 17, 2018 · Artificial Intelligence

Technical Analysis of Google Duplex: Achieving Natural Conversational Interaction

The article provides a detailed technical breakdown of Google Duplex, explaining how its speech recognition, natural language understanding, dialogue management, and speech synthesis modules work together to produce task‑oriented, natural‑sounding conversations and discussing challenges such as handling refusals, conditional responses, context management, and future scalability and safety concerns.

Google DuplexVoice Assistantartificial intelligence
0 likes · 10 min read
Technical Analysis of Google Duplex: Achieving Natural Conversational Interaction
AntTech
AntTech
Apr 3, 2018 · Artificial Intelligence

Intelligent IVR Voice Interaction: Architecture, Models, and Deployment at Ant Financial

The article explains how Ant Financial transformed traditional interactive voice response (IVR) into an AI‑driven, natural‑language service platform called MISA, detailing its architecture, machine‑learning models for guess‑question, problem identification, reverse questioning, and automated training, and reporting performance gains during high‑traffic events.

AIAnt FinancialIVR
0 likes · 12 min read
Intelligent IVR Voice Interaction: Architecture, Models, and Deployment at Ant Financial
Ctrip Technology
Ctrip Technology
Oct 19, 2017 · Artificial Intelligence

Intelligent Human‑Computer Interaction: Technical Practices of Alibaba’s “Ali Xiaomi” Chatbot

This article presents a comprehensive overview of Alibaba’s intelligent chatbot “Ali Xiaomi”, covering industry context, e‑commerce deployment, NLU architecture, intent‑matching layers, deep‑learning‑based intent classification, reinforcement‑learning‑driven recommendation, knowledge‑graph‑enhanced services, and hybrid retrieval‑generation dialogue models, with future outlooks for AI‑driven interaction.

Deep LearningKnowledge Graphe‑commerce
0 likes · 18 min read
Intelligent Human‑Computer Interaction: Technical Practices of Alibaba’s “Ali Xiaomi” Chatbot
21CTO
21CTO
Aug 23, 2017 · Artificial Intelligence

Why Natural Language Understanding Remains an AI‑Hard Problem and How Deep Learning Tackles It

This article explores why natural language understanding is one of the core AI‑hard challenges, outlines its five main difficulties—diversity, ambiguity, robustness, knowledge dependence, and context—and compares rule‑based, traditional machine‑learning, and deep‑learning approaches such as CNN, RNN/LSTM and Bi‑LSTM‑CRF for intent classification and slot filling.

AI-hardintent classificationnatural language understanding
0 likes · 10 min read
Why Natural Language Understanding Remains an AI‑Hard Problem and How Deep Learning Tackles It
Alibaba Cloud Developer
Alibaba Cloud Developer
May 11, 2017 · Artificial Intelligence

How Alibaba’s ‘Ali Xiaomi’ Chatbot Merges NLU, Knowledge Graphs, and Deep RL

Alibaba’s ‘Ali Xiaomi’ chatbot leverages a layered architecture that integrates intent recognition, multi‑type matching, knowledge‑graph‑based entity management, deep reinforcement learning, and hybrid retrieval‑generation models to deliver high‑accuracy, scalable conversational services across e‑commerce, customer support, and intelligent recommendation scenarios.

ChatbotKnowledge Graphdeep reinforcement learning
0 likes · 18 min read
How Alibaba’s ‘Ali Xiaomi’ Chatbot Merges NLU, Knowledge Graphs, and Deep RL