BestHub
Sign in
Tagged articles

semantic representation

4 articles · Page 1 of 1
Meituan Technology Team
Meituan Technology Team
Aug 20, 2026 · Artificial Intelligence

How Meituan Search 3.0 Leverages LLM Semantic Representations to Boost Ranking

The article details Meituan Search 3.0’s three‑phase journey—validating LLM‑based semantic vectors, rebuilding a systematic representation pipeline with contrastive learning and LoRA, and transferring the model to downstream item ranking—showing how 64‑dimensional cosine similarity features and multi‑scale embeddings consistently improve click, order and NDCG metrics across service‑retail search scenarios.

Contrastive LearningLLMLoRA
0 likes · 44 min read
How Meituan Search 3.0 Leverages LLM Semantic Representations to Boost Ranking
DataFunTalk
DataFunTalk
Dec 20, 2020 · Artificial Intelligence

Complex Semantic Expression Methods in Voice Assistants: NLP Layers, DIS Limitations, and the CMRL Schema

This article explains how voice assistants rely on NLP's three processing layers, examines the shortcomings of the traditional DIS semantic structure, introduces the hierarchical CMRL schema with its six element types, and presents two neural models—copy‑write seq2seq and seq2tree—for accurate semantic parsing of complex commands.

AICMRLNLP
0 likes · 15 min read
Complex Semantic Expression Methods in Voice Assistants: NLP Layers, DIS Limitations, and the CMRL Schema
DataFunTalk
DataFunTalk
Feb 18, 2020 · Artificial Intelligence

Why Natural Language Understanding Is Difficult: Structure Prediction, Semantic Representation, and Multimodal Context

The article explains that natural language understanding is fundamentally a structure‑prediction problem whose difficulty stems from language innovation, recursion, ambiguity, subjectivity and social factors, and argues that richer semantic representation spaces and multimodal context modeling are needed for true AI comprehension.

Multimodal ContextNLPStructure Prediction
0 likes · 20 min read
Why Natural Language Understanding Is Difficult: Structure Prediction, Semantic Representation, and Multimodal Context
DataFunTalk
DataFunTalk
Sep 5, 2019 · Artificial Intelligence

Baidu Semantic Computing: ERNIE, SimNet, and Future Directions in Natural Language Processing

This article reviews Baidu's research on semantic computing, covering the evolution of semantic representation, the development and evaluation of the ERNIE and SimNet models, their industrial applications, model compression techniques, and outlines future research priorities in multilingual and multimodal semantic understanding.

ERNIEInformation RetrievalNatural Language Processing
0 likes · 12 min read
Baidu Semantic Computing: ERNIE, SimNet, and Future Directions in Natural Language Processing