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Register a new userEvaluating Document Coherence Modeling
تقييم النمذجة التماسك المستند
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الملخص بينما طردت نماذج اللغة المحددة (LMS) مكاسب مثيرة للإعجاب على المهام المورفو والدلية، وقدرتها على نموذج الخطاب والظواهر البراغماتية أقل وضوحا.كخطوة نحو فهم أفضل لقدرات النمذجة خطابها، نقترح مهمة كشف التسلل.ندرس أداء مجموعة واسعة من LMS المحدد مسبقا على مهمة الكشف هذه للغة الإنجليزية.تفتقر إلى مجموعة بيانات للمهمة، ونحن نقدم DataSet Inteded Inteded، وهي عبارة عن بيانات الكشف عن عقوبة الدخيل الرواية، والتي تحتوي على 170،000+ مستندات مصنوعة من مقالات أخبار Wikipedia و CNN الإنجليزية.تظهر تجاربنا أن LMS المسبدة مسبقا تؤدي بشكل مثير للإعجاب في التقييم داخل المجال، بل تواجه انخفاضا كبيرا في إعداد المجال المتبادل، مما يشير إلى قدرة تعميم محدودة.نتائج أخرى على مجموعة بيانات مسبار لغوية جديدة تظهر أن هناك مجالا كبيرا للتحسين، خاصة في إعداد المجال المتقاطع.
Abstract While pretrained language models (LMs) have driven impressive gains over morpho-syntactic and semantic tasks, their ability to model discourse and pragmatic phenomena is less clear. As a step towards a better understanding of their discourse modeling capabilities, we propose a sentence intrusion detection task. We examine the performance of a broad range of pretrained LMs on this detection task for English. Lacking a dataset for the task, we introduce INSteD, a novel intruder sentence detection dataset, containing 170,000+ documents constructed from English Wikipedia and CNN news articles. Our experiments show that pretrained LMs perform impressively in in-domain evaluation, but experience a substantial drop in the cross-domain setting, indicating limited generalization capacity. Further results over a novel linguistic probe dataset show that there is substantial room for improvement, especially in the cross- domain setting.
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The OCT is a recent diagnostic tool for non-invasive tissue examination, which has
been used in clinical practice since 1995. The OCT is similar to the ultrasonic tomography
in that it relies on optical waves rather than ultrasound ones. The abilit
y to obtain highcontrast
images of the retina in a non-invasive manner has made this examination very
important in retinal diseases associated with macula..
Therefore, our objective is to study the statistical values of the measurements of the
macular thickness using Optical Coherence Tomography (OCT) and the relationship of
each value to age, sex, medication ,duration of diabetes ,and the visual acuity in diabetic
eyes. Therefore, the accurate measurement of the macular thickness is important to follow
up disease progression, evaluate treatment and accurately diagnose lesions of visual
acuity.
The thickness of the macula in the left and right eye was thicker in males than in
females. We find out that the visual ability declines with age. For both left and right eyes,
the thickness of the macula increases with age and the content of the macula correlates
with its thickness and the period of the disease. There are no statistically significant
differences of the thicknesses with different treatment types (insulin or pills),so we notice a
correlation between the visual acuity and the thickness of the macula in both eyes ,so that
the higher the thickness of the macula in diabetic patients ,the lower the visual acuity . In
the study of the different parts of the macula, the internal part is thicker than the external
part and the nasal part is thicker than the different parts of the macula, and the nasointernal
part is the thickest.
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