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--- nlp:abstract_meaning_representation [2025/04/19 00:12] – [Evaluation] jmflanig
+++ nlp:abstract_meaning_representation [2025/10/17 21:56] (current) – [Evaluation] jmflanig
@@ Line 10: / Line 10: @@
   * Generation
     * [[https://arxiv.org/pdf/2206.07328.pdf|Hao et al 2022 - A Survey : Neural Networks for AMR-to-Text]]
+  * **Applications**
+    * [[https://aclanthology.org/2024.emnlp-main.390.pdf|Wein & Opizt - A Survey of AMR Applications]]
 ===== Papers =====
@@ Line 127: / Line 129: @@
 ==== Evaluation ====
   * Parsing
+    * Fine-grained evaluation: [[https://arxiv.org/pdf/1608.06111|Damonte et al 2016 - An Incremental Parser for Abstract Meaning Representation]] (see section 5)
     * [[https://arxiv.org/pdf/1905.10726.pdf|Song & Gildea 2019 - SemBleu: A Robust Metric for AMR Parsing Evaluation]] ([[https://github.com/freesunshine0316/sembleu|github]])
-    * [[https://arxiv.org/pdf/2305.06993|Opizt 2023 - SMATCH++: Standardized and Extended Evaluation of Semantic Graphs]] [[https://github.com/flipz357/smatchpp|github]]
+    * [[https://arxiv.org/pdf/2210.06461|Opitz & Frank 2022 - Better Smatch = Better Parser? AMR evaluation is not so simple anymore]]
+    * [[https://arxiv.org/pdf/2305.06993|Opitz 2023 - SMATCH++: Standardized and Extended Evaluation of Semantic Graphs]] [[https://github.com/flipz357/smatchpp|github]]
   * Generation
     * [[https://arxiv.org/pdf/2008.08896.pdf|Opitz & Frank 2020 - Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR]]