ods (e.g., opinion mining, question answering,2 or summarization3), and requires novel approaches within the argumentation mining field. Although user-generated Web con-tent has already been considered in argumentation mining, many limitations and re-search gaps can be identified in the existing research. First, the scope of the current
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We first design two discourse-aware similarity measures, which use all-subtree kernels to compare discourse parse trees in accordance with the Rhetorical Structure Theory. Then, we show that these measures can help improve a number of existing machine translation evaluation metrics both at the segment-and at the system-level.
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mining an extremely engaging application for machine learning, by involving as-pects of natural language processing and understanding, information extraction, feature discovery and discourse analysis. All the argument mining frameworks proposed so far can be described as multi-stage pipeline systems, whose input is
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Multi-task learning is a way of transferring information between machine learning processes, so they can positively influence each other. ... Discourse-driven argument mining in scientific abstracts Type proposal assertion result observation means description 7 Distance to parent adjacent 167 1 arg. unit 55 2 arg. units 36 3 arg. units 17 4 arg ...
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The indentation rolling resistance of conveyor belts is an important design consideration for long belt conveyors and can also be important for heavily loaded belt conveyors.
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Our work contributes to the theoretical understanding of extracting global discourse structures by highlighting key characteristics of recent developments in argument …
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We first design two discourse-aware similarity measures, which use all-subtree kernels to compare discourse parse trees in accordance with the Rhetorical Structure Theory.
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This commentary discusses Naderi's work on argumentation mining in parliamentary discourse, highlighting the challenges and potential benefits of analyzing extensive parliamentary records for argument structure and framing. ... Different models have been proposed for argumentation mining with different machine learning methods applied on the ...
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International Conference on Advances in Engineering and Technology (ICAET'2014) March 29-30, 2014 Singapore Discourse on Data Mining Applications to Design Renewable Energy Systems Atika Qazi, H. Fayaz, and Ram Gopal Raj energy production are strongly penalized [2].
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The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In this article, we go beyond the state of the art in several ways. (i) We deal with actual Web data and take up the challenges given by the variety of registers, multiple domains, and unrestricted noisy user-generated Web …
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The entire goal of argument mining is automatic identification and extraction of arguments along with their relation from large unstructured data that are useful for reasoning engine and computational model. ... are two main subtasks in argument mining. In this study, we design and implement argument relation prediction for Amharic language ...
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This paper discusses and proposes methods for detecting, extracting and representing these global discourse structures in a proccess called Argument (ation) Mining.
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Machine learning algorithms have been increasingly used in recent ... The funders had no role in study design, data collection, data analysis, data interpretation, or writing of the report. ... Wang X. Factors driving the popularity and virality of COVID-19 vaccine discourse on Twitter: text mining and data visualization study. JMIR Public ...
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abstract = "This paper proposes a novel approach for incorporating discourse information into machine comprehension applications. Traditionally, such information is computed using off-The-shelf discourse analyzers. This design provides limited opportunities for guiding the discourse parser based on the requirements of the target task.
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Australia's abundant reserve of minerals and rare earths has made mining one of the country's most established sectors [1]. As one of the largest mining countries in the world, the mining industry has always been crucial in Australia's development and economic growth, with mined natural resources equating to 70.7% of Australia's exports in 2022 [2].
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Generally, two types of ML are distinguished: (a) unsupervised learning, which is purely data-driven to obtain structure originating from the data itself, and (b) supervised learning, which tries to infer relations between given text collections and knowledge represented in text external variables, for example, code categories a …
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1. Introduction. The dominant approach to argument (or argumentation) mining [6,14,29] has been to treat it as a machine learning problem requiring use only of superficial text features, enabling researchers to adopt methods that have …
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Mine Development Machine (MDM5000) Built for Mines by the Experts in Tunneling. The MDM5000 is the world's first successful rectangular rock boring machine, designed specifically with mines in mind. Until now, the excavation of mining drifts and access tunnels has been accomplished through often slow and arduous drill and blast methodology. Historically, …
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It then covers traditional machine learning methods along with the most recent works using deep learning, and compare their performances on benchmark datasets. For each discourse structure we describe, we show its applications in downstream text mining tasks.
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The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In this article, we go beyond the state of the art in several ways.
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Argumentation Mining in Scientific Discourse . Nancy L. Green . University of North Carolina Greensboro, Greensboro, NC, USA . [email protected] . Abstract . The dominant approach to argumentation mining has been to treat argumentation scheme detection as a machine learning problem based upon superficial text features,
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The research developed a sustainable zero harm discourse framework for denaturing the safety performance plateau in Underground mining at How Mine. A mixed method research design, triangulating ...
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performance plateau in Underground mining at How Mine. A mixed method research design, triangulating qualitative and quantitative data collection methods from employees and purposively sampled key informants who included the SHEQ manager, underground manager and the mine captain was used. Data was analysed using descriptive statistics.
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design methods capable of analyzing people's argumentation. In this article, we go beyond the ... and experiment with several machine learning methods to identify argument components. We ... and annotation guidelines to the community under free licenses. Our findings show that argumentation mining in user-generated Web discourse is a ...
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The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In this article, …
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Ore Analysis, Beneficiation Experiment, Beneficiation Process Design, Equipment Manufacturing, Construction, Equipment Installation, Commissioning, Operation, and a series of on-site EPC/TURN-KEY Production Technical Services. ... Xi'an Dasen Mining Machinery & Equipment Co., LTD Tel: +86 29 8113 7393 Whatsapp:+86 133 1927 7356
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2. Outline of Topic 6: 1) Definition of Open pit Mining Parameters: 1.1.) Basic Concept 1.2) Open pit Mining method 1.3) Bench 1.4) Open Pit Bench Terminology 1.5) Bench height 1.6) Cutoff grade 1.7) Open Pit Stability: i) Pit …
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According to Verified Market Research, the smart mining solutions market will reach more than $33 billion by 2028.
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