Information Extraction: Past, Present and Future

Piskorski, Jakub; Yangarber, Roman

doi:10.1007/978-3-642-28569-1_2

Cited by 128 publications

(62 citation statements)

References 35 publications

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“…Acquiring observations on human actions from news outlets is a form of information extraction (see Piskorski & Yangarber (2013)). An automatic system is given for acquiring ecosystem-affecting human actions from online news stories.…”

Section: Automatic Acquisition Of Political Actions Datamentioning

confidence: 99%

Automatic Acquisition and Sustainable Use of Political-Ecological Data

Haas

2018

Data Science Journal

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The sustainable management of anthropogenically-impacted ecosystems will require ongoing monitoring and advocacy by people across the globe. To this end, automatic methods are developed herein for acquiring several types of such political-ecological data. On the political side, a method is developed for gathering news articles about human actions that affect the ecosystem along with a method for identifying themes in social media that concern the consumption of an ecosystem's products. On the ecosystem side, a method is derived for estimating wildlife abundance from purchasable high-resolution satellite images. A simple website architecture is described for holding this data and enabling its use in developing sustainable conservation policies. A rhino conservation website illustrates this architecture. A fundamental contradiction between the desire for open data on the locations of endangered flora and fauna versus the need to hide these locations from poachers is addressed through a new security protocol that enables the secure distribution of sensitive ecosystem data to trusted data consumers.

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Section: Automatic Acquisition Of Political Actions Datamentioning

confidence: 99%

Automatic Acquisition and Sustainable Use of Political-Ecological Data

Haas

2018

Data Science Journal

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“…The extracted data usually contains a large chunk of noise and this noise is required to be removed from the extracted patterns. For this purpose IE includes various tasks which are Named Entity Recognition (NER), Co-reference Resolution (CO), Relation Extraction (RE), Event Extraction (EE) [21] Trend Analysis and Prediction [28].…”

Section:  Information Extraction (Ie)mentioning

confidence: 99%

Current Trends in Text Mining for Social Media

Singh¹,

Kumari²,

Pal³

et al. 2017

IJGDC

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“…The methods of information extraction (IE) applied to web information services, offer effective and efficient technologies to discover valuable and relevant knowledge in predefined set of concepts expressed by a corpus of texts put together mostly manually to form a specified information domain [15]. Building specific Web corpora using automated search engine queries started in 2001 with CorpusBuilder of [5] a tool for automatically generating Web-search queries tool to construct corpora for minority languages.…”

Section: Related Workmentioning

confidence: 99%

Review Web Pages Collector Tool for Thematic Corpus Creation

Medrouk¹,

Pappa²,

Hallou³

EPiC Series in Language and Linguistics

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We present a method of automaticaly extracting and gathering specific data text from web pages, creating a thematic corpus of reviews for opinion mining and sentiment analysis. The internet is an immense source of machine-readable texts [11] suitable for linguistic corpus studies [3][1]. Though, specific tools of web information extraction research domain as well as from the NLP do not include an open source system able to provide a thematic corpus according to an end-user request [16]. The need of use natural texts as databank for opinion mining and sentiment analysis is increased since the expansion of the digital interaction between users and blogs, forums and social networks. The RevScrap system is designed to provide an intuitive, easy-to-use interface able to extract specific information from accurate web pages returned by search engine's request and create a corpus composed by comments, reviews, opinions, as expressed by users' experience and feedback. The corpus is well structured in xml documents, reflected Singler's design criteria [4].

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Information Extraction: Past, Present and Future

Cited by 128 publications

References 35 publications

Automatic Acquisition and Sustainable Use of Political-Ecological Data

Automatic Acquisition and Sustainable Use of Political-Ecological Data

Current Trends in Text Mining for Social Media

Review Web Pages Collector Tool for Thematic Corpus Creation

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