{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-crowdsourced-frame-disambiguation-corpus","title":"A Crowdsourced Frame Disambiguation Corpus with Ambiguity","arxiv_id":"1904.06101","date":"2019-04-12","proceeding":"NAACL 2019 6","authors":["Anca Dumitrache","Lora Aroyo","Chris Welty"],"abstract":"We present a resource for the task of FrameNet semantic frame disambiguation\nof over 5,000 word-sentence pairs from the Wikipedia corpus. The annotations\nwere collected using a novel crowdsourcing approach with multiple workers per\nsentence to capture inter-annotator disagreement. In contrast to the typical\napproach of attributing the best single frame to each word, we provide a list\nof frames with disagreement-based scores that express the confidence with which\neach frame applies to the word. This is based on the idea that inter-annotator\ndisagreement is at least partly caused by ambiguity that is inherent to the\ntext and frames. We have found many examples where the semantics of individual\nframes overlap sufficiently to make them acceptable alternatives for\ninterpreting a sentence. We have argued that ignoring this ambiguity creates an\noverly arbitrary target for training and evaluating natural language processing\nsystems - if humans cannot agree, why would we expect the correct answer from a\nmachine to be any different? To process this data we also utilized an expanded\nlemma-set provided by the Framester system, which merges FN with WordNet to\nenhance coverage. Our dataset includes annotations of 1,000 sentence-word pairs\nwhose lemmas are not part of FN. Finally we present metrics for evaluating\nframe disambiguation systems that account for ambiguity.","url_abs":"http://arxiv.org/abs/1904.06101v1","url_pdf":"http://arxiv.org/pdf/1904.06101v1.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":"a-crowdsourced-frame-disambiguation-corpus","repo_url":"https://github.com/CrowdTruth/FrameDisambiguation","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"lemma","task_name":"LEMMA"},{"task_slug":"sentence","task_name":"Sentence"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1904.06101","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}