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Journals / International Journal of Multidisciplinary Studies and Innovative Technologies / 2026 / Cilt: 10 Sayı: 1

NLP-Based Problem-Solution Relationship Extraction and Mapping in Computer Architecture Literature

Bilgisayar Mimarisi Literatüründe NLP Tabanlı Problem-Çözüm İlişkisi Çıkarımı ve Haritalandırması

Yassine Oudjana(ABDULLAH GUL UNIVERSITY)0009-0004-2148-7636
Mehmet Gökhan Bakal(ABDULLAH GUL UNIVERSITY)0000-0003-2897-3894
Pages
97–101
Publication Date
2026-08-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

By mapping these problem-solution relationships across a large corpus of articles, the proposed approach identifies frequently studied pairings, reveals historical research trends, and uncovers potential gaps in the literature, thereby helping direct future academic work.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Research in computer architecture typically follows a structured approach, addressing narrowly defined problems with specialized solutions.
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Key Findings & Data:Because these articles exhibit consistent writing patterns, they are highly suitable for automated analysis.
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Conclusion & Impact:By mapping these problem-solution relationships across a large corpus of articles, the proposed approach identifies frequently studied pairings, reveals historical research trends, and uncovers potential gaps in the literature, thereby helping direct future academic work.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Doğal dil işleme · literatür taraması · metin gömmeleri

Abstract

Research in computer architecture typically follows a structured approach, addressing narrowly defined problems with specialized solutions. Because these articles exhibit consistent writing patterns, they are highly suitable for automated analysis. In this paper, a natural language processing (NLP) workflow is presented for classifying research papers based on the specific problems they investigate and the solutions they propose. By mapping these problem-solution relationships across a large corpus of articles, the proposed approach identifies frequently studied pairings, reveals historical research trends, and uncovers potential gaps in the literature, thereby helping direct future academic work.

Özet

Bilgisayar mimarisi alanındaki araştırmalar, tipik olarak yapılandırılmış bir yaklaşım izlemekte ve dar kapsamlı olarak tanımlanmış problemleri özelleşmiş çözümlerle ele almaktadır. Bu makaleler tutarlı yazım örüntüleri sergilediklerinden dolayı otomatik analize son derece uygundurlar. Bu çalışmada, araştırma makalelerini inceledikleri spesifik problemlere ve önerdikleri çözümlere göre sınıflandırmak amacıyla bir doğal dil işleme (NLP) iş akışı sunulmaktadır. Önerilen bu yaklaşım, söz konusu problem-çözüm ilişkilerini geniş bir makale derlemi üzerinde haritalandırarak sıklıkla çalışılan eşleşmeleri tespit etmekte, tarihsel araştırma eğilimlerini ortaya koymakta ve literatürdeki olası boşlukları açığa çıkararak gelecekteki akademik çalışmalara yön verilmesine yardımcı olmaktadır.

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Cite This Article

Oudjana, Y., Bakal, M. G. (2026). NLP-Based Problem-Solution Relationship Extraction and Mapping in Computer Architecture Literature. International Journal of Multidisciplinary Studies and Innovative Technologies, Cilt: 10 Sayı: 1, 97–101. https://doi.org/10.36287/ijmsit.10.1.11

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