TY  - CHAP
U1  - Buchbeitrag
A1  - Dakota, Daniel
A1  - Kübler, Sandra
ED  - Ganzha, Maria
ED  - Maciaszek, Leszek
ED  - Paprzycki, Marcin
T1  - From Discourse Representation Structure to Event Semantics: A Simple Conversion?
T2  - Proceedings of the 2016 Federated Conference on Computer Science and Information Systems (FedCSIS) 1st International Workshop on AI aspects of Reasoning, Information, and Memory. Gdansk, Poland. 11-14 September 2016
N2  - Many applications in Natural Language Processing require a semantic analysis of sentences in terms of truth-conditional representations, often with specific desiderata in terms of which information needs to be included in the semantic analysis. However, there are only very few tools that allow such an analysis. We investigate the representations of an automatic analysis pipeline of the C&C parser and Boxer to determine whether Boxer’s analyses in form of Discourse Representation Structure can be successfully converted into a more surface oriented event semantic representation, which will serve as input for a fusion algorithm for fusing hard and soft information. We use a data set of synthetic counter intelligence messages for our investigation. We provide a basic pipeline for conversion and subsequently discuss areas in which ambiguities and differences between the semantic representations present challenges in the conversion process.
T3  - Annals of Computer Science and Information Systems (ACSIS) - 8 
KW  - Textverstehendes System
KW  - Semantische Analyse
KW  - Natural Language Processing (NLP)
KW  - Semantic analysis
Y1  - 2016
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-61823
SN  - 2300-5963
SS  - 2300-5963
SN  - 978-83-60810-90-3
SB  - 978-83-60810-90-3
U6  - https://doi.org/10.15439/2016F440
DO  - https://doi.org/10.15439/2016F440
SP  - 343
EP  - 352
PB  - Polish Information Processing Society
CY  - Warsaw
ER  -