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Johannes Heinecke

2 accepted papers

2023

Abstract Representation for Multi-Intent Spoken Language Understanding

ICASSP 2023accepted

Current sequence tagging models based on Deep Neural Network models with pretrained language models achieve almost perfect results on many SLU benchmarks with a flat semantic annotation at the token level such as ATIS or SNIPS. When dealing with more complex human-machine interactions (multi-domain,…

Cited by 0SourceScholar
2022

Knowledge Extraction From Texts Based on Wikidata

NAACL 2022industry

This paper presents an effort within our company of developing knowledge extraction pipeline for English, which can be further used for constructing an entreprise-specific knowledge base. We present a system consisting of entity detection and linking, coreference resolution, and relation extraction…