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Hongyu Shao, Sizhe Pan, Yufei Song and Quanfu Li
In the context of rapid product iteration, design conflicts arise from discrepancies in designers? understanding of user needs, influenced by subjective preferences, behavioural stances, and other factors. This paper proposes a product conceptual design ...
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?tefan Ionescu, Camelia Delcea, Nora Chiri?a and Ionu? Nica
This research provides a comprehensive analysis of the dynamic interplay between agent-based modeling (ABM) and artificial intelligence (AI) through a meticulous bibliometric study. This study reveals a substantial increase in scholarly interest, particu...
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Samuel R. Schrader and Eren Gultepe
The evaluation of similarities between natural languages often relies on prior knowledge of the languages being studied. We describe three methods for building phylogenetic trees and clustering languages without the use of language-specific information. ...
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Lukas Busch, Ruben van Heusden and Maarten Marx
Page stream segmentation (PSS) is the task of retrieving the boundaries that separate source documents given a consecutive stream of documents (for example, sequentially scanned PDF files). The task has recently gained more interest as a result of the di...
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Benjamin Shade and Eduardo G. Altmann
Quantifying the dissimilarity of two texts is an important aspect of a number of natural language processing tasks, including semantic information retrieval, topic classification, and document clustering. In this paper, we compared the properties and per...
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Abdelrhman Eldallal and Eduard Barbu
Automatic Keyphrase Extraction involves identifying essential phrases in a document. These keyphrases are crucial in various tasks, such as document classification, clustering, recommendation, indexing, searching, summarization, and text simplification. ...
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Liliya Demidova, Dmitry Zhukov, Elena Andrianova and Vladimir Kalinin
To solve the problem of text clustering according to semantic groups, we suggest using a model of a unified lexico-semantic bond between texts and a similarity matrix based on it. Using lexico-semantic analysis methods, we can create ?term?document? matr...
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Dauren Ayazbayev, Andrey Bogdanchikov, Kamila Orynbekova and Iraklis Varlamis
This work focuses on determining semantically close words and using semantic similarity in general in order to improve performance in information retrieval tasks. The semantic similarity of words is an important task with many applications from informati...
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Chunchun Hu, Qin Liang, Nianxue Luo and Shuixiang Lu
Analysis of the spatiotemporal distribution of online public opinion topics can help understand the hotspots of public concern. The topic model is employed widely in public opinion topic clustering for social media data. In order to handle topic-clusteri...
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Gabriele Papadia, Massimo Pacella and Vincenzo Giliberti
This paper focuses on the automatic analysis of conversation transcriptions in the call center of a customer care service. The goal is to recognize topics related to problems and complaints discussed in several dialogues between customers and agents. Our...
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