Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Erwin Marsi"'
Publikováno v:
AI Communications. 30:267-280
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2064a056d7a6cf8432473edbb2ba4b8b
https://doi.org/10.3233/aic-170738
https://doi.org/10.3233/aic-170738
Publikováno v:
Research on Computing Science
We aim to develop a text mining framework capable ofidentifying and extractingcausal dependenciesamongchanging variables(orevents) from scientific publications in the cross-disciplinary field ofoceanographic climate science. The extracted information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de96bd240f41022112e54000a8aa4f0f
https://doi.org/10.13053/rcs-117-1-8
https://doi.org/10.13053/rcs-117-1-8
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783319595689
NLDB
NLDB
Causal relation extraction is the task of identifying and extracting the causal relations occurring in a text. We present an approach that is especially suitable for extracting relations between complex events – which are assumed to be already iden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05c1fe97fd3545ef9ac892605aa3daaa
https://doi.org/10.1007/978-3-319-59569-6_13
https://doi.org/10.1007/978-3-319-59569-6_13
Publikováno v:
SemEval@ACL
We present NTNU’s systems for Task A (prediction of keyphrases) and Task B (labelling as Material, Process or Task) at SemEval 2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications (Augenstein et al., 2017). Our approach re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38b988ca18bff82ebf6186f754bbf046
https://doi.org/10.18653/v1/s17-2162
https://doi.org/10.18653/v1/s17-2162
Autor:
Biswanath Barik, Erwin Marsi
Publikováno v:
SemEval@ACL
This paper presents our relation extraction system for subtask C of SemEval-2017 Task 10: ScienceIE. Assuming that the keyphrases are already annotated in the input data, our work explores a wide range of linguistic features, applies various feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e19fa02be60b8437be0c18a856bd63be
https://doi.org/10.18653/v1/s17-2168
https://doi.org/10.18653/v1/s17-2168
Publikováno v:
EACL (Software Demonstrations)
We report on a demonstration system for text mining of literature in marine science and related disciplines. It automatically extracts variables (e.g. CO2) involved in events of change/increase/decrease (e.g increasing CO2), as well as co-occurrence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07480af118c205f3e75b2c57ea09da9a
https://doi.org/10.18653/v1/e17-3023
https://doi.org/10.18653/v1/e17-3023
Publikováno v:
SemEval@NAACL-HLT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::353ff12e1f80d0b0e2956a87f8c7bbc4
https://doi.org/10.18653/v1/s16-1072
https://doi.org/10.18653/v1/s16-1072
Autor:
Erwin Marsi, Pinar Öztürk
Publikováno v:
Semantics, Analytics, Visualization. Enhancing Scholarly Data ISBN: 9783319536361
We present an approach to text mining in areas where the entities of interest can not be defined in advance. Our system is aimed at finding related events in natural science literature, in particular, changing/increasing/decreasing variables in Marin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47fe5b831cc18ac6d4138ea50f639bda
https://doi.org/10.1007/978-3-319-53637-8_4
https://doi.org/10.1007/978-3-319-53637-8_4
Publikováno v:
Case-Based Reasoning Research and Development ISBN: 9783319470955
ICCBR
ICCBR
When problem solving systems are deployed in real life, it is usually not enough to provide only a solution without any explanation. Users need an explanation in order to trust the system’s decisions. At the same time, explanations may also functio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45820587b10641a3d0db97ad8b2548b0
https://doi.org/10.1007/978-3-319-47096-2_26
https://doi.org/10.1007/978-3-319-47096-2_26
Autor:
Marc Swerts, Erwin Marsi
Publikováno v:
The Journal of the Acoustical Society of America. 132:2616-2624
The current article describes research on whether the goodness of a particular speaking style correlates with the way speakers distribute pitch accents in their speech. Study 1 analyzed two Flemish newsreaders, who, according to poll ratings, had pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b74782d7f1dd98307eaf5fb2777552ff
https://doi.org/10.1121/1.4751539
https://doi.org/10.1121/1.4751539