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Inter-Sentential Relations in Enhanced Lexicalized Meaning Representation (E-LMR)

Author Jorge Baptista

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OASIcs.SLATE.2026.5.pdf
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Subject Classification

ACM Subject Classification
  • Computing methodologies → Discourse, dialogue and pragmatics
Keywords
  • Inter-sentential relations
  • Lexicalized Meaning Representation
  • Nominal and Pronominal Anaphora Resolution
  • Temporal Anaphora Resolution
  • Inter-Sentential Cohesion Devices
  • European Portuguese

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Abstract

Abstract Meaning Representation (AMR) is a widely adopted framework for graph-based sentence-level semantics. However, its abstraction from surface form and its focus on intra-sentential structure limit its ability to capture discourse-level phenomena. Uniform Meaning Representation (UMR) addresses this limitation by introducing cross-sentential mechanisms, at the cost of increased representational complexity. We argue that inter-sentential relations can be modeled without abandoning lexical anchoring. Within Lexicalized Meaning Representation, we propose a programmatic extension grounded in three domains: (i) nominal and pronominal anaphora, (ii) temporal anchoring, and (iii) inter-sentential cohesion devices. We call this Enhanced LMR (E-LMR). We contend that these relations are not abstract add-ons, but are lexically realized and should be represented accordingly. Rather than a full annotation scheme, we introduce design principles and representation strategies illustrated with European Portuguese data. A lexically grounded approach improves interpretability, annotation consistency, and cross-linguistic robustness. We thus position E-LMR as a viable alternative within a modular semantic architecture where discourse relations are explicitly encoded while remaining tightly coupled to lexical form.

Cite As Get BibTex

Jorge Baptista. Inter-Sentential Relations in Enhanced Lexicalized Meaning Representation (E-LMR). In 15th Symposium on Languages, Applications and Technologies (SLATE 2026). Open Access Series in Informatics (OASIcs), Volume 144, pp. 5:1-5:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026) https://doi.org/10.4230/OASIcs.SLATE.2026.5

Author Details

Jorge Baptista
  • University of Algarve, Faro, Portugal
  • INESC-ID Lisboa, Portugal

Funding

  • Baptista, Jorge: Work supported by national funds through Fundação para a Ciência e a Tecnologia, I.P. (FCT) under projects UID/50021/2025 (DOI: https://doi.org/10.54499/UID/50021/2025) and UID/PRR/50021/2025 (DOI: https://doi.org/10.54499/UID/PRR/50021/2025).

Supplementary Materials

References

  1. Laura Banarescu, Claire Bonial, Shu Cai, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Martha Palmer, and Nathan Schneider. Abstract Meaning Representation for Sembanking. In Proceedings of the 7th Linguistic Annotation Workshop & Interoperability with Discourse (ACL 2013), pages 178-186, Sofia, 2013. ACL. URL: https://aclanthology.org/W13-2322.pdf.
  2. Laura Banarescu, Claire Bonial, Shu Cai, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Martha Palmer, and Nathan Schneider. Abstract Meaning Representation (AMR) 1.2.6 Specification, 2019. URL: https://github.com/amrisi/amr-guidelines/blob/master/amr.md.
  3. Jorge Baptista. Reconstruction of Zeroed Words in Lexicalized Meaning Representation. Diacrítica, 2026. Accepted for publication (in press). Google Scholar
  4. Jorge Baptista and Nuno Mamede. Dicionário Gramatical de Verbos do Português Europeu. Universidade do Algarve, Faro, Portugal, novembro 2020. URL: https://sapientia.ualg.pt/handle/10400.1/15605.
  5. Jorge Baptista and Nuno Mamede. Syntactic Transformations in Rule-Based Parsing of Support Verb Constructions: Examples from European Portuguese. In Alberto Simões, Pedro Rangel Henriques, and Ricardo Queirós, editors, 9th Symposium on Languages, Applications and Technologies (SLATE 2020), volume 83 of OpenAccess Series in Informatics (OASIcs), pages 11:1-11:14, Dagstuhl, Germany, 2020. Schloss Dagstuhl - Leibniz-Zentrum für Informatik. URL: https://doi.org/10.4230/OASIcs.SLATE.2020.11.
  6. Jorge Baptista, Nuno Mamede, and Sónia Reis. Support Verb Constructions across the Ocean Sea. In 18th Workshop on Multiword Expressions @ LREC2022, pages 26-36. ACL, 2022. URL: https://hal.science/hal-03705534.
  7. Jorge Baptista, Izabela Müller, and Sónia Reis. Semantic Representation of Adverbs in the Lexicalized Meaning Representation (LMR) Framework. In Jorge Baptista and José Barateiro, editors, 14th Symposium on Languages, Applications and Technologies (SLATE 2025), volume 135 of Open Access Series in Informatics (OASIcs), pages 9:1-9:18, Dagstuhl, Germany, 2025. Schloss Dagstuhl - Leibniz-Zentrum für Informatik. URL: https://doi.org/10.4230/OASIcs.SLATE.2025.9.
  8. Jorge Baptista, Simone Pereira, and Nuno Mamede. ZAC - Zero Anaphora Corpus: A Corpus for Zero Anaphora Resolution in Portuguese. In Hilário Leal Fontes and António Branco, editors, Proceedings of the Workshop on Corpora and Tools for Processing Corpora, (co-located with 12^th International Conference Computational Processing of the Portuguese Language - PROPOR'2016, pages pp. 38-45. PROPOR 2016/Portuguese Language Department, Directorate-General for Translation, European Union, 2016. Google Scholar
  9. Jorge Baptista, Sónia Reis, João Dias, and Pedro A. Santos. Lexicalized Meaning Representation (LMR). In Claire Bonial, Julia Bonn, and Jena D. Hwang, editors, Proceedings of the Fifth International Workshop on Designing Meaning Representations (DMR) @ LREC-COLING 2024, pages 101-111, Torino, Italy, May 2024. ELRA and ICCL. URL: https://doi.org/10.34626/6080.
  10. Jorge Baptista, Sónia Reis, Pedro A. Santos, and João Dias. Comparação de anotações AMR entre línguas: problemas e soluções. Revista da Associação Portuguesa de Linguística, 1(11):27-54, 2024. URL: https://doi.org/10.26334/2183-9077/rapln11ano2024a2.
  11. Julia Bonn, Claire Bonial, Matt Buchholz, Hsiao-Jung Cheng, Alvin Chen, Ching-wen Chen, Andrew Cowell, William Croft, Lukas Denk, Ahmed Elsayed, et al. Uniform Meaning Representation 2.0, 2025. LINDAT/CLARIAH-CZ Digital Library. Google Scholar
  12. Julia Bonn, Matthew J. Buchholz, Jayeol Chun, Andrew Cowell, William Croft, Lukas Denk, Sijia Ge, Jan Hajič, Kenneth Lai, James H. Martin, et al. Building a Broad Infrastructure for Uniform Meaning Representations. In Proceedings of LREC-COLING, pages 2537-2547, 2024. Google Scholar
  13. Julia Bonn, Ching-wen Chen, Andrew Cowell, William Croft, Lukas Denk, Jan Hajič, Kenneth Lai, Martha Palmer, Alexis Palmer, James Pustejovsky, et al. Uniform Meaning Representation, 2023. LINDAT/CLARIAH-CZ Digital Library. Google Scholar
  14. Julia Bonn, Skatje Myers, Jens E. L. Van Gysel, Lukas Denk, Meagan Vigus, Jin Zhao, Andrew Cowell, William Croft, Jan Hajič, James H. Martin, Alexis Palmer, Martha Palmer, James Pustejovsky, Zdenka Urešová, Rosa Vallejos, and Nianwen Xue. Mapping AMR to UMR: Resources for adapting existing corpora for cross-lingual compatibility. In Daniel Dakota, Kilian Evang, Sandra Kübler, and Lori Levin, editors, Proceedings of the 21st International Workshop on Treebanks and Linguistic Theories (TLT, GURT/SyntaxFest 2023), pages 74-95, Washington, D.C., 2023. Association for Computational Linguistics. URL: https://aclanthology.org/2023.tlt-1.8/.
  15. Jayeol Chun and Nianwen Xue. Uniform meaning representation parsing as a pipelined approach. In Proceedings of TextGraphs, pages 40-52, 2024. Google Scholar
  16. Michael Wayne Goodman. Penman: An open-source library and tool for AMR graphs. In Asli Celikyilmaz and Tsung-Hsien Wen, editors, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 312-319, Online, 2020. Association for Computational Linguistics. URL: https://doi.org/10.18653/v1/2020.acl-demos.35.
  17. Caroline Hagège, Jorge Baptista, and Nuno Mamede. Caracterização e Processamento de Expressões Temporais em Português. Linguamática, 2(1):63-76, 2010. URL: https://www.linguamatica.com/index.php/linguamatica/article/download/47/60/.
  18. M. A. K. Halliday and Ruqaiya Hasan. Cohesion in English. Longman, London, 1976. Google Scholar
  19. M. A. K. Halliday and Christian M. I. M. Matthiessen. Halliday’s Introduction to Functional Grammar. Routledge, London, 4 edition, 2014. Google Scholar
  20. Zellig S. Harris. Discourse Analysis. Language, 28(1):1-30, 1952. Google Scholar
  21. Erhard Hinrichs. Temporal Anaphora in Discourses of English. Linguistics and Philosophy, pages 63-82, 1986. Google Scholar
  22. Behrooz Mansouri. Survey of Abstract Meaning Representation: Then, Now, Future, 2025. arXiv preprint. URL: https://doi.org/10.48550/arXiv.2505.03229.
  23. João Silvestre Marques. Anaphora resolution in portuguese: A hybrid approach. Master’s thesis, Instituto Superior Técnico, Universidade Técnica de Lisboa, November 2013. MSc dissertation. Google Scholar
  24. Christian Molinier and Françoise Lévrier. Grammaire des Adverbes: Description des Formes en -ment. Droz, Genève, 2000. URL: https://books.google.com/books/about/Grammaire_des_adverbes.html?id=HSHMkiPy4pgC.
  25. I. Müller, N. Mamede, and Jorge Baptista. Adverbios conjuntivos multipalabra en el portugués brasileño: Un enfoque metodológico basado en el léxico-gramática. Studia Linguistica Romanica, 2026. Accepted for publication (in press). Google Scholar
  26. Simone Pereira. ZAC.PB: An Annotated Corpus for Zero Anaphora Resolution in Portuguese. In Student Research Workshop in conjunction with RANLP-09, pages 53-59, September 2009. URL: https://aclanthology.org/R09-2010/.
  27. Nathan Schneider, Jeff Flanigan, and Tim O'Gorman. The Logic of AMR. In Proceedings of the 2015 Conference of the Association for Computational Linguistics (ACL 2015), pages 4-5, Beijing, 2015. ACL. URL: https://doi.org/10.3115/v1/N15-4003.
  28. Jens Van Gysel, Meagan Vigus, Jayeol Chun, Kenneth Lai, Sarah Moeller, Jiarui Yao, Tim O'Gorman, Andrew Cowell, William Croft, Chu-Ren Huang, et al. Designing a Uniform Meaning Representation for Natural Language Processing. KI - Künstliche Intelligenz, 35(3):343-360, 2021. URL: https://doi.org/10.1007/S13218-021-00722-W.
  29. Jiarui Yao, Haoling Qiu, Bonan Min, and Nianwen Xue. Annotating Temporal Dependency Graphs via Crowdsourcing. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 5368-5380, 2020. URL: https://doi.org/10.18653/v1/2020.emnlp-main.434.
  30. Yuchen Zhang and Nianwen Xue. Neural ranking models for temporal dependency structure parsing. arXiv preprint, 2018. URL: https://arxiv.org/abs/1809.00370.
  31. Yuchen Zhang and Nianwen Xue. Structured Interpretation of Temporal Relations. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), pages 3222-3229, Miyazaki, Japan, 2018. European Language Resources Association (ELRA). URL: https://aclanthology.org/L18-1490.
  32. Jin Zhao, Nianwen Xue, Jens E. L. Van Gysel, and Jinho D. Choi. UMR-Writer: A Web Application for Annotating Uniform Meaning Representations. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 160-167, Online, 2021. Association for Computational Linguistics. URL: https://doi.org/10.18653/v1/2021.emnlp-demo.19.
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