So What's the Plan? Mining Strategic Planning Documents
In this paper we present a corpus of Russian strategic planning documents, RuREBus. This project is grounded both from language technology and e-government perspectives. Not only new language sources and tools are being developed, but also their applications to e-goverment research. We demonstrate t...
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| creator | Artemova, Ekaterina Batura, Tatiana Golenkovskaya, Anna Ivanin, Vitaly Ivanov, Vladimir Sarkisyan, Veronika Smurov, Ivan Tutubalina, Elena |
| description | In this paper we present a corpus of Russian strategic planning documents,
RuREBus. This project is grounded both from language technology and
e-government perspectives. Not only new language sources and tools are being
developed, but also their applications to e-goverment research. We demonstrate
the pipeline for creating a text corpus from scratch. First, the annotation
schema is designed. Next texts are marked up using human-in-the-loop strategy,
so that preliminary annotations are derived from a machine learning model and
are manually corrected. The amount of annotated texts is large enough to
showcase what insights can be gained from RuREBus. |
| doi_str_mv | 10.48550/arxiv.2007.00257 |
| format | Article |
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RuREBus. This project is grounded both from language technology and
e-government perspectives. Not only new language sources and tools are being
developed, but also their applications to e-goverment research. We demonstrate
the pipeline for creating a text corpus from scratch. First, the annotation
schema is designed. Next texts are marked up using human-in-the-loop strategy,
so that preliminary annotations are derived from a machine learning model and
are manually corrected. The amount of annotated texts is large enough to
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RuREBus. This project is grounded both from language technology and
e-government perspectives. Not only new language sources and tools are being
developed, but also their applications to e-goverment research. We demonstrate
the pipeline for creating a text corpus from scratch. First, the annotation
schema is designed. Next texts are marked up using human-in-the-loop strategy,
so that preliminary annotations are derived from a machine learning model and
are manually corrected. The amount of annotated texts is large enough to
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RuREBus. This project is grounded both from language technology and
e-government perspectives. Not only new language sources and tools are being
developed, but also their applications to e-goverment research. We demonstrate
the pipeline for creating a text corpus from scratch. First, the annotation
schema is designed. Next texts are marked up using human-in-the-loop strategy,
so that preliminary annotations are derived from a machine learning model and
are manually corrected. The amount of annotated texts is large enough to
showcase what insights can be gained from RuREBus.</abstract><doi>10.48550/arxiv.2007.00257</doi><oa>free_for_read</oa></addata></record> |
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| title | So What's the Plan? Mining Strategic Planning Documents |
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