Abstract
We participated in the shared task on meaning representation parsing (Task 8 at SemEval-2016) with the aim of investigating whether we could use Boxer, an existing open-domain semantic parser, for this task. However, the meaning representations produced by Boxer, Discourse Representation Structures, are considerably different from Abstract Meaning Representations, AMRs, the target meaning representations of the shared task. Our hybrid conversion method (involving lexical adaptation as well as post-processing of the output) failed to produce state-of-the-art results. Nonetheless, F-scores of 53% on development and 47% on test data (50% unofficially) were obtained.
Highlights
With the currently increasing interest in semantic parsing, and the diversity of the meaning representations being used, an important challenge is to adapt existing semantic parsers for different semantic representations
Shared Task 8 of the SemEval-2016 campaign for semantic evaluation is an interesting venue for this, where a system is given an English sentence and has to produce an Abstract Meaning Representation (AMR) for it. We participated in this shared task with a system rooted in formal semantics based on Discourse Representation Theory (DRT)
We give an overview of the differences between the meaning representations produced by Boxer and those that are required for the shared task
Summary
With the currently increasing interest in semantic parsing, and the diversity of the meaning representations being used, an important challenge is to adapt existing semantic parsers for different semantic representations. Shared Task 8 of the SemEval-2016 campaign for semantic evaluation is an interesting venue for this, where a system is given an English sentence and has to produce an Abstract Meaning Representation (AMR) for it. We participated in this shared task with a system rooted in formal semantics based on Discourse Representation Theory (DRT). We were interested in finding out whether the representations from DRT (Kamp, 1984; Kamp and Reyle, 1993), Discourse Representation Structures (DRSs), could be converted into AMRs. In this paper we outline our method, which is based on the semantic parser Boxer (Bos, 2008; Bos, 2015), and present and discuss our results. To get a first taste of these differences, compare the analysis of ‘All equipment will be completely manufactured’ carried out by Boxer (Figure 1) and that of the gold-standard AMR (Figure 2). |
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