Semantic Representation

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

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 ContextNLPSemantic Representation

0 likes · 20 min read

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

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.

Deep LearningERNIENatural Language Processing

0 likes · 12 min read

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