Forest-Based Semantic Role Labeling

Parsing plays an important role in semantic role labeling (SRL) because most SRL systems infer semantic relations from 1-best parses. Therefore, parsing errors inevitably lead to labeling mistakes. To alleviate this problem, we propose to use packed forest, which compactly encodes all parses for a sentence. We design an algorithm to exploit exponentially many parses to learn semantic relations efficiently. Experimental results on the CoNLL-2005 shared task show that using forests

• Type: Conference
• Year: 2010
• Where: AAAI
• Authors: Hao Xiong, Haitao Mi, Yang Liu, Qun Liu
• Keywords: AAAI 2010, Intelligent Agents, Parsing Errors, Semantic Relations, Semantic Role Labeling