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Structure of the Ebembe Language
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In: 2019 Undergraduate Research and Scholarship Conference (2019)
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Evaluating the relationship between CHC factors and independent living skills in college students
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Hydrogeomorphology and steep creek hazard mitigation lexicon: French, English and German
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In: International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment ; https://hal.archives-ouvertes.fr/hal-02923125 ; International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment, Jun 2019, Golden, United States. pp.589-596 ; https://mountainscholar.org/handle/11124/173038 (2019)
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Measurement of $W^{\pm}$-boson and $Z$-boson production cross-sections in $pp$ collisions at $\sqrt{s}=2.76$ TeV with the ATLAS detector
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Claude Davis’s The Lost Book of Remedies
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In: Davis, Claude. (2019). Claude Davis’s The Lost Book of Remedies. Remedies Journal, 10(11). doi:10.5281/zenodo.2647340. UC Office of the President: Retrieved from: http://www.escholarship.org/uc/item/2s015540 (2019)
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Beyond Representation: What Makes Gesture a Learning Tool in Mathematics?
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In: https://hal.archives-ouvertes.fr/hal-02049625 ; 2019 (2019)
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Epistemic modals, deduction, and factivity: New insights from the epistemic future
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In: Proceedings of the 29th Semantics and Linguistic Theory Conference ; Semantics and Linguistic Theory (SALT) 29 ; https://hal.archives-ouvertes.fr/hal-02428030 ; Semantics and Linguistic Theory (SALT) 29, UCLA, May 2019, Los Angeles, United States. pp.351-370, ⟨10.3765/salt.v28i0.4422⟩ ; https://journals.linguisticsociety.org/proceedings/index.php/SALT/article/view/29.351 (2019)
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WWW'18 open challenge: financial opinion mining and question answering
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Engineering an aligned gold-standard corpus of human to machine oriented Controlled Natural Language
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Abstract:
Knowledge base creation and population are an essential formal backbone for a variety of intelligent applications, decision support and expert systems and intelligent search. While the abundance of unstructured text helps in easing the knowledge acquisition gap, the ambiguous nature of language tends to impact accuracy when engaging in more complex semantic analysis. Controlled Natural Languages (CNLs) are subsets of natural language that are restricted grammatically in order to reduce or eliminate ambiguity for the purposes of machine processability, or unambiguous human communication within a domain or industry context, such as Simplified English. This type of human-oriented CNL is under-researched despite having found favor within industry over many years. We describe a novel dataset which aligns a representative sample of Simplified English Wikipedia sentences with a well known machine-oriented CNL. This linguistic resource is both human-readable and semantically machine interpretable and can benefit a variety of NLP and knowledge based applications. ; This work has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 and in part by the SSIX Horizon 2020 project (grant agreement No 645425). ; peer-reviewed
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Keyword:
Controlled Natural Language; Knowledge Extraction; Natural Language Processing; Semantic Web
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URL: https://doi.org/10.1109/WI.2018.00-58 http://hdl.handle.net/10379/14953
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SemR-11: a multi-lingual gold-standard for semantic similarity and relatedness for eleven languages
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From simplified text to knowledge representation using controlled natural language
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The SSIX corpora: three gold standard corpora for sentiment analysis in English, Spanish and German financial microblogs
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