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seq2tree

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Youku Technology
Youku Technology
Apr 2, 2022 · Artificial Intelligence

Constrained Sequence-to-Tree Generation for Hierarchical Text Classification

At SIGIR 2022, the authors present a constrained Seq2Tree model that transforms hierarchical label taxonomies into preorder sequences and applies dynamic‑dictionary decoding to ensure label consistency, achieving superior hierarchical text classification performance on benchmark datasets and real‑world deployment within Alibaba Entertainment’s AI Brain.

Encoder-DecoderHierarchical Text ClassificationNLP
0 likes · 5 min read
Constrained Sequence-to-Tree Generation for Hierarchical Text Classification
DataFunSummit
DataFunSummit
Dec 18, 2020 · Artificial Intelligence

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

This article explains how voice assistants rely on a three‑layer NLP pipeline (lexical, syntactic, and semantic analysis), discusses the shortcomings of the traditional DIS (Domain‑Intent‑Slot) structure for complex commands, and introduces the hierarchical CMRL schema along with two neural models (copy‑write seq2seq and seq2tree) for converting natural language into structured logical expressions.

CMRLNLPsemantic parsing
0 likes · 14 min read
Complex Semantic Representation in Voice Assistants: NLP Layers, DIS Limitations, and the CMRL Schema