DE eng

Search in the Catalogues and Directories

Hits 1 – 19 of 19

1
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading ...
BASE
Show details
2
A Framework for Evaluation of Machine Reading Comprehension Gold Standards ...
BASE
Show details
3
Creating a contemporary corpus of similes in Serbian by using natural language processing ...
Milosevic, Nikola; Nenadic, Goran. - : arXiv, 2018
BASE
Show details
4
Using local lexicalized rules to identify heart disease risk factors in clinical notes
BASE
Show details
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
BASE
Show details
6
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge ...
BASE
Show details
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
Show details
8
Medication information extraction with linguistic pattern matching and semantic rules
Nenadic, Goran; Sarafraz, Farzaneh; Spasic, Irena. - : BMJ Publishing Group, 2010
BASE
Show details
9
Medication information extraction with linguistic pattern matching and semantic rules
BASE
Show details
10
Biomedical event detection using rules, conditional random fields and parse tree distances
Sarafraz, Farzaneh; Eales, James; Mohammadi, Reza; Dickerson, Jonathan; Robertson, David; Nenadic, Goran. - : Association for Computational Linguistics, 2009
Abstract: This paper reports on a system developed for the BioNLP'09 shared task on detection and characterisation of biomedical events. Event triggers and types were recognised using a conditional random field classifier and a set of rules, while event participants were identified using a rule-based system that relied on relative distances between candidate entities and the trigger in the associated parse tree. The results on previously unseen test data were encouraging: for non-regulatory events, the F-score was almost 50% (with precision above 60%), with the overall F-score of around 30% (49% precision). The performance on more complex regulatory events was poor (F-measure of 7%). Among the 24 teams submitting the test results, our results were ranked 12th for the overall F-score and 8th for the F-score of non-regulation events.
URL: http://eprints.gla.ac.uk/122455/
BASE
Hide details
11
Assigning Roles to Protein Mentions: the Case of Transcription Factors
BASE
Show details
12
A cascaded approach to normalising gene mentions in biomedical literature
Yang, Hui; Nenadic, Goran; Keane, John A. - : Biomedical Informatics Publishing Group, 2007
BASE
Show details
13
Mining term similarities from corpora
In: Terminology. - Amsterdam [u.a.] : Benjamins 10 (2004) 1, 55-80
OLC Linguistik
Show details
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
Show details
15
Mining term similarities from corpora
Nenadic, Goran; Spasic, Irena; Ananiadou, Sophia. - : John Benjamins, 2004
BASE
Show details
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
Show details
17
Terminology-driven mining of biomedical literature
Nenadic, Goran; Spasic, Irena; Ananiadou, Sophia. - : Oxford University Press, 2003
BASE
Show details
18
Terminology-driven mining of biomedical literature
Nenadic, Goran; Spasic, Irena; Ananiadou, Sophia. - : Oxford University Press, 2003
BASE
Show details
19
Terminology-driven literature mining and knowledge acquisition in biomedicine
Nenadic, Goran; Mima, Hideki; Spasic, Irena. - : Elsevier, 2002
BASE
Show details

Catalogues
0
0
1
0
0
0
0
Bibliographies
2
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
16
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern