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1
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading ...
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2
A Framework for Evaluation of Machine Reading Comprehension Gold Standards ...
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3
Creating a contemporary corpus of similes in Serbian by using natural language processing ...
Milosevic, Nikola; Nenadic, Goran. - : arXiv, 2018
Abstract: Simile is a figure of speech that compares two things through the use of connection words, but where comparison is not intended to be taken literally. They are often used in everyday communication, but they are also a part of linguistic cultural heritage. In this paper we present a methodology for semi-automated collection of similes from the World Wide Web using text mining and machine learning techniques. We expanded an existing corpus by collecting 442 similes from the internet and adding them to the existing corpus collected by Vuk Stefanovic Karadzic that contained 333 similes. We, also, introduce crowdsourcing to the collection of figures of speech, which helped us to build corpus containing 787 unique similes. ... : 15 pages, submitted to journal Slovo, however, later withdrawn to correct. Additional work was not done on it, so it is still waiting to be extended. Output of the system can be seen here: http://ezbirka.starisloveni.com/. arXiv admin note: text overlap with arXiv:1605.06319 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://arxiv.org/abs/1811.10422
https://dx.doi.org/10.48550/arxiv.1811.10422
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4
Using local lexicalized rules to identify heart disease risk factors in clinical notes
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5
Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives
Kovacevic, Aleksandar; Dehghan, Azad; Filannino, Michele. - : BMJ Publishing Group Ltd, 2013
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6
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge ...
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7
Topic Categorisation of Statements in Suicide Notes with Integrated Rules and Machine Learning
Kovačević, Aleksandar; Dehghan, Azad; Keane, John A.. - : Libertas Academica, 2012
BASE
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8
Medication information extraction with linguistic pattern matching and semantic rules
Nenadic, Goran; Sarafraz, Farzaneh; Spasic, Irena. - : BMJ Publishing Group, 2010
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9
Medication information extraction with linguistic pattern matching and semantic rules
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10
Biomedical event detection using rules, conditional random fields and parse tree distances
Sarafraz, Farzaneh; Eales, James; Mohammadi, Reza. - : Association for Computational Linguistics, 2009
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11
Assigning Roles to Protein Mentions: the Case of Transcription Factors
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12
A cascaded approach to normalising gene mentions in biomedical literature
Yang, Hui; Nenadic, Goran; Keane, John A. - : Biomedical Informatics Publishing Group, 2007
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13
Mining term similarities from corpora
In: Terminology. - Amsterdam [u.a.] : Benjamins 10 (2004) 1, 55-80
OLC Linguistik
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14
Recent trends in computational terminology
Daille, Béatrice (Hrsg.); Kageura, Kyō (Hrsg.); Nakagawa, Hiroshi (Hrsg.)...
In: Terminology. - Amsterdam [u.a.] : Benjamins 10 (2004) 1, 1-168
BLLDB
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15
Mining term similarities from corpora
Nenadic, Goran; Spasic, Irena; Ananiadou, Sophia. - : John Benjamins, 2004
BASE
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16
Reducing lexical ambiguity in Serbo-Croatian by using genetic algorithms
In: Investigations into formal slavic linguistics ; 1. - Frankfurt am Main [u.a.] : Lang (2003), 287-298
BLLDB
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17
Terminology-driven mining of biomedical literature
Nenadic, Goran; Spasic, Irena; Ananiadou, Sophia. - : Oxford University Press, 2003
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18
Terminology-driven mining of biomedical literature
Nenadic, Goran; Spasic, Irena; Ananiadou, Sophia. - : Oxford University Press, 2003
BASE
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19
Terminology-driven literature mining and knowledge acquisition in biomedicine
Nenadic, Goran; Mima, Hideki; Spasic, Irena. - : Elsevier, 2002
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