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increased word ambiguity in abstracts was associated with slightly lower modularity of citation networks for those abstracts - [[@mcmahanAmbiguityEngagement2018]]" url: https://roamresearch.com/#/app/megacoglab/page/0dCO_io-p author: Joel Chan date: Mon Jul 12 2021 12:35:18 GMT-0400 (Eastern Daylight Time) --- - Summary:: - Increased word [ambiguity]([[ambiguity]] -  (p. 891) -  (p. 892, Table 2) - Note: this effect was ~order of magnitude smaller than effects of number of disciplines and subject-wide modularity - **Grounding Context** - sample: ~1.1M abstracts from Web of Science (after trimming for min. threshold citations, and at least 5 usable terms for ambiguity measure in abstract) -  (p. 880 - 881) - [[ambiguity]] - define as posterior distribution over pr(M | t, c) (probability of each possible meaning for a given token in a given context) - see Appendix A (how to build "meaning graph" for each token), and Appendix B (how to estimate ambiguity) - very similar to [[LDA]] -  (p. 898) -  - meaning simplified to proxy into synonyms from Moby and WordNet thesauri - would prefer to define as cliques in synonym graph, but... for reasons, decided to simplify to just directed edges + the neighborhood - examples (from data) -  -  (p. 885) - validated against human judgments (see Appendix C) - "engagement" operationalized as graph entropy over subgraph from each article for max (1k cites, 3 recursive runs), computed in terms of maximal [[network modularity]] - toy example: -  -  (p. 880) - examples (from data): -  - network modularity correlated at -.76 with topological entropy for random sample of 1.2k abstracts - --- - [[ACL Recontextualizing Claims and Evidence Shared Task]] - Status:: #resultGrounded - Annotator:: - ResultGrounding:: [[table]] https://w3id.org/np/RA5-9qndLqrg5za25v7mbwjq1pbVoqiegpNhwhlPC8JO0 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/kpxl/gen/terms/Evidence https://w3id.org/np/RA5-9qndLqrg5za25v7mbwjq1pbVoqiegpNhwhlPC8JO0 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