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Register a new userAutomatic rule generation for time expression normalization
توليد القاعدة التلقائي لتطبيع التعبير
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يشمل فهم تعبيرات الوقت بمهام فرعية: الاعتراف والتطبيع. في السنوات الأخيرة، تم إحراز تقدم كبير في الاعتراف بعصائر الوقت أثناء تأخر البحث عن التطبيع. تعتمد أساليب تطبيع Sota الحالية على قواعد أو قواعد النحوية التي صممها الخبراء، مما يحد من أدائها في شريوس الناشئة، مثل نصوص وسائل التواصل الاجتماعي. في هذه الورقة، نقوم بالنماذج تعبير التطبيع في الوقت نفسه كتسلسل للعمليات لبناء القيمة الزمنية الطبيعية، ونقدم طريقة جديدة تسمى Artime، والتي يمكن أن تولد تلقائيا قواعد التطبيع من بيانات التدريب دون تدخلات خبراء. على وجه التحديد، يلتقط Artime تلقائيا تسلسل عمليات التشغيل الممكنة من البيانات المشروحة ويولد قواعد التطبيع في التعبيرات الزمنية بأشكال سطح مشتركة. تظهر النتائج التجريبية أن Artime يمكن أن يتجاوز بشكل كبير أساليب Sota على القياس التغريدات، وتحقق نتائج تنافسية مع طرق القاعدة التي تم تصميمها من الخبراء الموجودة في معيار Tempeval-3.
The understanding of time expressions includes two sub-tasks: recognition and normalization. In recent years, significant progress has been made in the recognition of time expressions while research on normalization has lagged behind. Existing SOTA normalization methods highly rely on rules or grammars designed by experts, which limits their performance on emerging corpora, such as social media texts. In this paper, we model time expression normalization as a sequence of operations to construct the normalized temporal value, and we present a novel method called ARTime, which can automatically generate normalization rules from training data without expert interventions. Specifically, ARTime automatically captures possible operation sequences from annotated data and generates normalization rules on time expressions with common surface forms. The experimental results show that ARTime can significantly surpass SOTA methods on the Tweets benchmark, and achieves competitive results with existing expert-engineered rule methods on the TempEval-3 benchmark.
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This paper tries to examine the relationship between analogy and the grammatical
rule. Analogy is one of the basic principles and bases of Arabic grammar during times of
rule formation and judging it. Linguists were divided in their attitude to ana
logy, with
some supporting it and others against it. Grammarians were more inclined toward analogy
than compilers, because grammarians’ research was based on the existing similarity
between words, phrases, and style used in speech reported by tellers of what had been said
by the Arabs. They based their rules and origins of analogy on that similarity. Analogists
transliterated some foreign terms, Arabized, and derived new words out of them in a
manner similar to that done with Arabic terms. However, some grammarians went very far
in their excessive use of analogy to the extent that it becomes far removed from linguistic
reality to be a form riddle and guessing, leading to reaction against analogy then against
grammar. Analogy became an end in itself; it overlooked its original purpose; was then
manifested in rule formation of words said spontaneously.
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