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        <title>A Transition-based Parser for Unscoped Episodic Logical Forms</title>
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        <namePart type="given">Viet</namePart>
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            <namePart type="family">Zarrieß</namePart>
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    <abstract>“Episodic Logic: Unscoped Logical Form” (EL-ULF) is a semantic representation capturing predicate-argument structure as well as more challenging aspects of language within the Episodic Logic formalism. We present the first learned approach for parsing sentences into ULFs, using a growing set of annotated examples. The results provide a strong baseline for future improvement. Our method learns a sequence-to-sequence model for predicting the transition action sequence within a modified cache transition system. We evaluate the efficacy of type grammar-based constraints, a word-to-symbol lexicon, and transition system state features in this task. Our system is available at https://github.com/genelkim/ulf-transition-parser. We also present the first official annotated ULF dataset at https://www.cs.rochester.edu/u/gkim21/ulf/resources/.</abstract>
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%0 Conference Proceedings
%T A Transition-based Parser for Unscoped Episodic Logical Forms
%A Kim, Gene
%A Duong, Viet
%A Lu, Xin
%A Schubert, Lenhart
%Y Zarrieß, Sina
%Y Bos, Johan
%Y van Noord, Rik
%Y Abzianidze, Lasha
%S Proceedings of the 14th International Conference on Computational Semantics (IWCS)
%D 2021
%8 June
%I Association for Computational Linguistics
%C Groningen, The Netherlands (online)
%F kim-etal-2021-transition
%X “Episodic Logic: Unscoped Logical Form” (EL-ULF) is a semantic representation capturing predicate-argument structure as well as more challenging aspects of language within the Episodic Logic formalism. We present the first learned approach for parsing sentences into ULFs, using a growing set of annotated examples. The results provide a strong baseline for future improvement. Our method learns a sequence-to-sequence model for predicting the transition action sequence within a modified cache transition system. We evaluate the efficacy of type grammar-based constraints, a word-to-symbol lexicon, and transition system state features in this task. Our system is available at https://github.com/genelkim/ulf-transition-parser. We also present the first official annotated ULF dataset at https://www.cs.rochester.edu/u/gkim21/ulf/resources/.
%U https://aclanthology.org/2021.iwcs-1.18
%P 184-201

Markdown (Informal)

[A Transition-based Parser for Unscoped Episodic Logical Forms](https://aclanthology.org/2021.iwcs-1.18) (Kim et al., IWCS 2021)

• A Transition-based Parser for Unscoped Episodic Logical Forms (Kim et al., IWCS 2021)

ACL

• Gene Kim, Viet Duong, Xin Lu, and Lenhart Schubert. 2021. A Transition-based Parser for Unscoped Episodic Logical Forms. In Proceedings of the 14th International Conference on Computational Semantics (IWCS), pages 184–201, Groningen, The Netherlands (online). Association for Computational Linguistics.