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  • Tweet Segmentation and Its Application to Named Entity Recognition
    | title = Tweet Segmentation and Its Application to Named Entity Recognition '''Tweet Segmentation and Its Application to Named Entity Recognition''' - scientific work about [[Wikipedia quality]] published in 2015, written
    3 KB (470 words) - 00:10, 4 July 2018
  • Feature extraction
    In machine learning, pattern recognition and in image processing, feature extraction starts from an initial set of m
    1,002 bytes (153 words) - 02:48, 7 July 2018
  • Conditional random field
    ...(CRFs) are a class of statistical modeling method often applied in pattern recognition and machine learning and used for structured prediction. CRFs fall into the ...n Markov models (HMMs). In computer vision, CRFs are often used for object recognition and image segmentation.
    1 KB (169 words) - 02:58, 7 July 2018
  • NOMINATE (scaling method)
    ...ogy's Best Statistical Software Award for their development of NOMINATE, a recognition conferred to "individual(s) for developing statistical software that makes
    1 KB (181 words) - 03:08, 7 July 2018
  • Hybrid Kohonen self-organizing map
    ...M was first applied to machine vision systems for image classification and recognition.
    976 bytes (155 words) - 03:10, 7 July 2018
  • Pattern recognition
    ...me cases considered to be nearly synonymous with machine learning. Pattern recognition systems are in many cases trained from labeled "training" data (supervised ...he pattern, while machine learning traditionally focuses on maximizing the recognition rates. Yet, all of these domains have evolved substantially from their root
    3 KB (475 words) - 03:14, 7 July 2018
  • Gesture Description Language
    ...key frames that create together definitions of gestures or movements. The recognition is done by forward chaining inference engine. The latest GDL implementation
    935 bytes (136 words) - 03:30, 7 July 2018
  • Text mining
    ...retrieval, lexical analysis to study word frequency distributions, pattern recognition, tagging/annotation, information extraction, data mining techniques includi
    2 KB (225 words) - 03:33, 7 July 2018
  • Chris Westphal
    While at Visual Analytics, he garnered industry recognition and accolades, including Deloitte's Technology Fast 50 (Maryland), Marylan
    1 KB (190 words) - 08:54, 7 July 2018
  • Named Entity Relation Mining using Wikipedia
    ...confronted with while building systems for the tasks of Textual Entailment Recognition and Question Answering, respectively. The approach consists in applying gra
    2 KB (265 words) - 11:26, 19 May 2019
  • Language Independent Named Entity Identification Using Wikipedia
    Recognition of Named Entities (NEs) is a difficult process in Indian languages like Hin
    3 KB (340 words) - 01:01, 20 May 2019
  • Exploiting Wikipedia as External Knowledge for Named Entity Recognition
    | title = Exploiting Wikipedia as External Knowledge for Named Entity Recognition '''Exploiting Wikipedia as External Knowledge for Named Entity Recognition''' - scientific work related to [[Wikipedia quality]] published in 2007, wr
    2 KB (243 words) - 23:44, 20 May 2019
  • Miracle Experiments in Qa@Clef 2006 in Spanish: Main Task, Real-Time Qa and Exploratory Qa Using Wikipedia (Wiqa)
    ...and the Real-Time QA pilot. The system [[features]] improved Named Entity recognition and shallow linguistic analysis and achieves moderate performance. In contr
    3 KB (411 words) - 22:44, 21 May 2019
  • Using Wikipedia for Cross-Language Named Entity Recognition
    | title = Using Wikipedia for Cross-Language Named Entity Recognition '''Using Wikipedia for Cross-Language Named Entity Recognition''' - scientific work related to [[Wikipedia quality]] published in 2016, wr
    3 KB (383 words) - 15:08, 17 November 2020
  • Open-Domain Question Answering Framework Using Wikipedia
    ...tracted the target entity from the question using CRF based [[named entity recognition]] (NER) and utilised all remaining words as potential properties. Using DBP
    3 KB (405 words) - 11:20, 13 December 2019
  • Learning Multilingual Named Entity Recognition from Wikipedia
    | title = Learning Multilingual Named Entity Recognition from Wikipedia '''Learning Multilingual Named Entity Recognition from Wikipedia''' - scientific work related to [[Wikipedia quality]] publis
    3 KB (427 words) - 09:02, 18 January 2021
  • Who is It? Context Sensitive Named Entity and Instance Recognition by Means of Wikipedia
    | title = Who is It? Context Sensitive Named Entity and Instance Recognition by Means of Wikipedia '''Who is It? Context Sensitive Named Entity and Instance Recognition by Means of Wikipedia''' - scientific work related to [[Wikipedia quality]]
    2 KB (258 words) - 18:42, 19 October 2019
  • Infobox Suggestion for Wikipedia Entities
    ...classification which deal with only a few label classes for [[named entity recognition]], the much larger 337-class setup in study is geared towards realistic dep
    3 KB (352 words) - 09:44, 14 May 2020
  • Temporal Scoping of Relational Facts based on Wikipedia Data
    ...work in [[information extraction]] from text has focused on [[named-entity recognition]], entity linking, and relation extraction. Less attention has been paid gi
    2 KB (301 words) - 08:49, 16 October 2019
  • Large-Scale Named Entity Disambiguation based on Wikipedia Data
    This paper presents a large-scale system for the recognition and semantic disambiguation of [[named entities]] based on information extr
    2 KB (264 words) - 10:54, 18 December 2019

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