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Lin He, Shengnan Wang and Xinran Cao
Shipping Enterprise Credit Named Entity Recognition (NER) aims to recognize shipping enterprise credit entities from unstructured shipping enterprise credit texts. Aiming at the problem of low entity recognition rate caused by complex and diverse entitie...
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Elie Azeraf, Emmanuel Monfrini and Wojciech Pieczynski
Practitioners have used hidden Markov models (HMMs) in different problems for about sixty years. Moreover, conditional random fields (CRFs) are an alternative to HMMs and appear in the literature as different and somewhat concurrent models. We propose tw...
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Zhen Sun and Xinfu Li
Named entity recognition can deeply explore semantic features and enhance the ability of vector representation of text data. This paper proposes a named entity recognition method based on multi-head attention to aim at the problem of fuzzy lexical bounda...
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Tahir Mehmood, Alfonso E. Gerevini, Alberto Lavelli, Matteo Olivato and Ivan Serina
Single-task models (STMs) struggle to learn sophisticated representations from a finite set of annotated data. Multitask learning approaches overcome these constraints by simultaneously training various associated tasks, thereby learning generic represen...
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Shengxian Tang, Hexu Liu, Manea Almatared, Osama Abudayyeh, Zhen Lei and Alvis Fong
Construction-oriented quantity take-off (QTO) refers to the process of determining the quantities for construction items or work packages in accordance with their descriptions. However, the current construction-oriented QTO practice relies on estimators?...
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Ahmed Aliwy, Ayad Abbas and Ahmed Alkhayyat
An information retrieval (IR) system is the core of many applications, including digital library management systems (DLMS). The IR-based DLMS depends on either the title with keywords or content as symbolic strings. In contrast, it ignores the meaning of...
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Panning Liang, Mingyang Yu and Lincheng Jiang
In 2013, China proposed the ?Belt & Road Initiative? which aims to invest the ?Belt & Road? countries so as to help them develop their infrastructure and economy. China consumes the largest part of fossil energy of the whole world, so it is China...
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SaiKiranmai Gorla, Lalita Bhanu Murthy Neti and Aruna Malapati
Named entity recognition (NER) is a fundamental step for many natural language processing tasks and hence enhancing the performance of NER models is always appreciated. With limited resources being available, NER for South-East Asian languages like Telug...
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Hongwei Zhang, Fu Ren, Huiting Li, Renfei Yang, Shuai Zhang and Qingyun Du
Location services based on address matching play an important role in people?s daily lives. However, with the rapid development of cities, new addresses are constantly emerging. Due to the untimely updating of word segmentation dictionaries and address d...
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Runyu Fan, Lizhe Wang, Jining Yan, Weijing Song, Yingqian Zhu and Xiaodao Chen
Constructing a knowledge graph of geological hazards literature can facilitate the reuse of geological hazards literature and provide a reference for geological hazard governance. Named entity recognition (NER), as a core technology for constructing a ge...
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