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We describe a transition-based parser for AMR that\nparses sentences left-to-right, in linear time. We further propose a test-suite\nthat assesses specific subtasks that are helpful in comparing AMR parsers, and\nshow that our parser is competitive with the state of the art on the LDC2015E86\ndataset and that it outperforms state-of-the-art parsers for recovering named\nentities and handling polarity.","url_abs":"http://arxiv.org/abs/1608.06111v5","url_pdf":"http://arxiv.org/pdf/1608.06111v5.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"an-incremental-parser-for-abstract-meaning","repo_url":"https://github.com/mdtux89/amr-evaluation","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"an-incremental-parser-for-abstract-meaning","repo_url":"https://github.com/ChunchuanLv/amr-evaluation-tool-enhanced","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"an-incremental-parser-for-abstract-meaning","repo_url":"https://github.com/mdtux89/amr-eager","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"torch","reach":{"status":"ok","spdx":"BSD-2-Clause"}},{"paper_slug":"an-incremental-parser-for-abstract-meaning","repo_url":"https://github.com/mdtux89/amr-eager-multilingual","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"torch","reach":null}],"tasks":[{"task_slug":"amr-parsing","task_name":"AMR Parsing"},{"task_slug":"abstract-meaning-representation","task_name":"Abstract Meaning Representation"},{"task_slug":"named-entity-recognition-1","task_name":"Named Entity Recognition"},{"task_slug":"named-entity-recognition-ner","task_name":"Named Entity Recognition (NER)"},{"task_slug":"semantic-role-labeling","task_name":"Semantic Role Labeling"},{"task_slug":"word-sense-disambiguation","task_name":"Word Sense Disambiguation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/amr-parsing-on-ldc2015e86-1","task":"AMR Parsing","dataset":"LDC2015E86","model":"AMREager","rank_in_archive_order":5,"of":6,"metrics":{"Smatch":"64.0"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/1608.06111","atlas_url":"https://app.syntology.ai/?focus=1608.06111","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1608.06111"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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