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2019 AAAI AAAI 2019

Dependency or Span, End-to-End Uniform Semantic Role Labeling

Abstract

Abstract Semantic role labeling (SRL) aims to discover the predicateargument structure of a sentence. End-to-end SRL without syntactic input has received great attention. However, most of them focus on either span-based or dependency-based semantic representation form and only show specific model optimization respectively. Meanwhile, handling these two SRL tasks uniformly was less successful. This paper presents an end-to-end model for both dependency and span SRL with a unified argument representation to deal with two different types of argument annotations in a uniform fashion. Furthermore, we jointly predict all predicates and arguments, especially including long-term ignored predicate identification subtask. Our single model achieves new state-of-the-art results on both span (CoNLL 2005, 2012) and dependency (CoNLL 2008, 2009) SRL benchmarks.

🚀 Conference Pioneer — AAAI 2019
🌉 Interdisciplinary Bridge — Artificial Intelligence and Deep Learning and Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — span-based parsing
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Zuchao Li , Shexia He , Hai Zhao , Yiqing Zhang , Zhuosheng Zhang , Xi Zhou , Xiang Zhou

Topics

Natural Language Processing > Understanding > Semantic Analysis Machine Learning > Learning Types > Deep Learning Deep Learning > Learning Types > Deep Learning Artificial Intelligence > Core AI > Language Machine Learning > Learning Types > Sequence Labeling Natural Language Processing > Applications > Semantic Analysis

Keywords

dependency parsing semantic role labeling end-to-end learning predicate argument structure span-based parsing end-to-end model predicate identification span based representation dependency based representation end to end model argument representation span parsing
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