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1
VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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3
DanFEVER: claim verification dataset for Danish ...
Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022
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4
VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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5
DanFEVER: claim verification dataset for Danish ...
Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022
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6
Capability Language Processing (CLP): Classification and Ranking of Manufacturing Suppliers Based on Unstructured Capability Data
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7
VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
BASE
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8
DanFEVER: claim verification dataset for Danish ...
Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2021
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9
Bangla Bengali sentiment lexicon dictionary with positive and negative words ...
Sazzed, Salim. - : Mendeley, 2021
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10
Industry 4.0 technologies extracted from Inustry 4.0 papers and ESCO database ...
Giordano, Vito. - : Mendeley, 2021
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11
Industry 4.0 technologies extracted from Inustry 4.0 papers and ESCO database ...
Giordano, Vito. - : Mendeley, 2021
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12
Bangla Bengali sentiment lexicon dictionary with positive and negative words ...
Sazzed, Salim. - : Mendeley, 2021
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13
Industry 4.0 technologies extracted from Industry 4.0 papers and ESCO database ...
Giordano, Vito. - : Mendeley, 2021
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14
Bangla Bengali sentiment lexicon dictionary with positive and negative words ...
Sazzed, Salim. - : Mendeley, 2021
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15
Neural Machine Translation for Conditional Generation of Novel Procedures
Abstract: Procedural knowledge is generally dispersed across many experts within or across organizations which might lead to inefficiencies and redundancy. Historically, computers have been well suited to store procedural knowledge but they have lacked the capability to produce natural language text. Nonetheless, recent advances in machine learning permit a higher linguistic coherence which benefits applications with longer text outputs such as procedures. This work closes the gap between human experts and computers by proposing a framework for automatic, computer generation of procedures based on neural machine translation and the BART model. Furthermore, we define two benchmark problems for procedure generation and establish a set of evaluation metrics that can be used as a reference in further work. We demonstrate the potential of this solution on the task of generating cooking recipes based on available ingredients. The evaluation results on the Recipe1M dataset showcase the method's superiority over other, fairly novel, neural architectures.
Keyword: computational cooking; Data; machine learning; natural language processing; procedure generation; Text and Web Mining for Business Analytics
URL: http://hdl.handle.net/10125/70744
https://doi.org/10.24251/HICSS.2021.132
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16
Portuguese Comparative Sentences: A Collection of Labeled Sentences on Twitter and Buscapé ...
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17
Portuguese Comparative Sentences: A Collection of Labeled Sentences on Twitter and Buscapé ...
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18
Stoppwörter der Deutschen Rechtssprache (SW-DE-RS) ...
Fobbe, Sean. - : Zenodo, 2020
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19
Stoppwörter der Deutschen Rechtssprache (SW-DE-RS) ...
Fobbe, Sean. - : Zenodo, 2020
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20
StoryMiner: An Automated and Scalable Framework for Story Analysis and Detection from Social Media
Shahbazi, Behnam. - : eScholarship, University of California, 2019
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