Home
Catalogue search
Refine your search:
Keyword
Creator / Publisher:
Majewska, Olga (6)
Palmer, Martha (6)
Pyysalo, Sampo (6)
Stenius, Ulla (6)
Wey, Laura (6)
Chiu, Billy (4)
Korhonen, Anna (4)
Chiu, Hon Wing (2)
Korhonen, Anna-Leena (2)
Year:
2019 (6)
Medium
Type
BLLDB-Access:
free (6)
subject to license (0)
Search in the Catalogues and Directories
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
Sort by
creator [A → Z]
'
creator [Z → A]
'
publishing year ↑ (asc)
'
publishing year ↓ (desc)
'
title [A → Z]
'
title [Z → A]
'
Simple Search
Hits 1 – 6 of 6
1
A neural classification method for supporting the creation of BioVerbNet ...
Chiu, Billy
;
Majewska, Olga
;
Pyysalo, Sampo
. - : Figshare, 2019
BASE
Show details
2
A neural classification method for supporting the creation of BioVerbNet ...
Chiu, Billy
;
Majewska, Olga
;
Pyysalo, Sampo
. - : Figshare, 2019
BASE
Show details
3
A neural classification method for supporting the creation of BioVerbNet ...
Chiu, Billy
;
Majewska, Olga
;
Pyysalo, Sampo
. - : Apollo - University of Cambridge Repository, 2019
BASE
Show details
4
A Neural Classification Method for Supporting the Creation of BioVerbNet ...
Chiu, Hon Wing
;
Majewska, Olga
;
Pyysalo, Sampo
. - : Apollo - University of Cambridge Repository, 2019
BASE
Show details
5
A Neural Classification Method for Supporting the Creation of BioVerbNet
Chiu, Hon Wing
;
Majewska, Olga
;
Pyysalo, Sampo
;
Wey, Laura
;
Stenius, Ulla
;
Korhonen, Anna-Leena
;
Palmer, Martha
. - : BioMed Central, 2019. : https://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-018-0193-x, 2019. : Journal of Biomedical Semantics, 2019
Abstract:
Background: VerbNet, an extensive computational verb lexicon for English, has proved useful for supporting a wide range of Natural Language Processing tasks requiring information about the behaviour and meaning of verbs. Biomedical text processing and mining could benefit from a similar resource. We take the first step towards the development of BioVerbNet: A VerbNet specifically aimed at describing verbs in the area of biomedicine. Because VerbNet-style classification is extremely time consuming, we start from a small manual classification of biomedical verbs and apply a state-of-the-art neural representation model, specifically developed for class-based optimization, to expand the classification with new verbs, using all the PubMed abstracts and the full articles in the PubMed Central Open Access subset as data. Results: Direct evaluation of the resulting classification against BioSimVerb (verb similarity judgement data in biomedicine) shows promising results when representation learning is performed using verb class-based contexts. Human validation by linguists and biologists reveals that the automatically expanded classification is highly accurate. Including novel, valid member verbs and classes, our method can be used to facilitate cost-effective development of BioVerbNet. Conclusion: This work constitutes the first effort on applying a state-of-the-art architecture for neural representation learning to biomedical verb classification. While we discuss future optimization of the method, our promising results suggest that the automatic classification released with this article can be used to readily support application tasks in biomedicine. ; This work is supported by the Medical Research Council [grant number MR/M013049/1], the ERC Consolidator Grant LEXICAL [grant number 648909], the ESRC Doctoral Fellowship [grant number ES/J500033/1] and the Defense Advanced Research Projects Agency [DARPA 15-18-CwC-FP-032]
Keyword:
representation learning
;
verb lexicon
URL:
https://www.repository.cam.ac.uk/handle/1810/289364
https://doi.org/10.17863/CAM.36611
BASE
Hide details
6
A neural classification method for supporting the creation of BioVerbNet
Chiu, Billy
;
Majewska, Olga
;
Pyysalo, Sampo
. - : BioMed Central, 2019
BASE
Show details
Mobile view
All
Catalogues
UB Frankfurt Linguistik
0
IDS Mannheim
0
OLC Linguistik
0
UB Frankfurt Retrokatalog
0
DNB Subject Category Language
0
Institut für Empirische Sprachwissenschaft
0
Leibniz-Centre General Linguistics (ZAS)
0
Bibliographies
BLLDB
0
BDSL
0
IDS Bibliografie zur deutschen Grammatik
0
IDS Bibliografie zur Gesprächsforschung
0
IDS Konnektoren im Deutschen
0
IDS Präpositionen im Deutschen
0
IDS OBELEX meta
0
MPI-SHH Linguistics Collection
0
MPI for Psycholinguistics
0
Linked Open Data catalogues
Annohub
0
Online resources
Link directory
0
Journal directory
0
Database directory
0
Dictionary directory
0
Open access documents
BASE
6
Linguistik-Repository
0
IDS Publikationsserver
0
Online dissertations
0
Language Description Heritage
0
© 2013 - 2024 Lin|gu|is|tik
|
Imprint
|
Privacy Policy
|
Datenschutzeinstellungen ändern