SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Gawronska Barbara) "

Sökning: WFRF:(Gawronska Barbara)

  • Resultat 11-20 av 29
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
11.
  • Gawronska, Barbara (författare)
  • Information Extraction from Texts : Adapting a System for Summarization of News Reports to the Domain of Bioinformatics
  • 2005
  • Ingår i: Transactions on Advanced Research. - : IPSI BgD. - 1820-4511. ; 1:1, s. 20-28
  • Tidskriftsartikel (refereegranskat)abstract
    • Natural language serves as important information source in all areas of human activity. The presence of a huge amount of texts on the Internet actualizes the problem of efficient information search; visual scanning of all the textual information is difficult and time-consuming. There is a need for efficient, high-quality systems that extract the relevant information from texts. The paper presents the architecture of an experimental system for automatic text understanding and information extraction, which has originally been developed for the domain of news reports. The possibility of adapting the methodology for the purpose of bioinformatics is discussed, and the similarities and differences between texts in the two different domains are discussed and exemplified.
  •  
12.
  • Gawronska, Barbara, et al. (författare)
  • Natural Language Technology In Multi-Source Information Fusion
  • 2004
  • Ingår i: Proceedings of the International IPSI-2004k Conference. - 8674661173
  • Konferensbidrag (refereegranskat)abstract
    • Information Fusion encompasses "the theory, techniques and tools conceived for exploiting the synergy in the information acquired from multiple sources" [http://www.inforfusion.org/mission.htm]. The main issue is to improve the quality of decisions utilizing several information sources (databases, sensors, simulations). Research on information fusion has focused on applications like robotics and command and control systems, but the need of information synergy concerns more and more fields. Natural language serves as important information source in all areas of human activity, but the integration of language into fusion systems is far from satisfactory. The paper discusses employing language technology in bioinformatics, and in industrial processes.
  •  
13.
  •  
14.
  • Gawronska, Barbara, et al. (författare)
  • Syntactic, Semantic and Referential Patterns in Biomedical Texts : towards in-depth text comprehension for the purpose of bioinformatics
  • 2005
  • Ingår i: Natural Language Understanding and Cognitive Science, Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science, NLUCS 2005, In conjunction with ICEIS 2005, Miami, FL, USA, May 2005. - : INSTICC Press. - 9728865236 - 9789728865238 ; , s. 68-77
  • Konferensbidrag (refereegranskat)abstract
    • An essential part of bioinformatic research concerns the iterative process of validating hypotheses by analyzing facts stored in databases and in published literature. This process can be enhanced by automatic in-depth text understanding. A prerequisite for this is an adequate syntactic and semantic analysis. The paper presents the results of syntactic, semantic, and textual analysis of a corpus of biomedical abstracts. It focuses on the ways in which relevant molecular interactions are referred to in the abstracts, and proposes a strategy for linking natural language expressions to the standard notation used in Kyoto Encyclopedia of Genes and Genomes. The syntactic and semantic regularities observed in the language of biomedicine are also discussed from the cognitive point of view.
  •  
15.
  • Gawronska, Barbara, et al. (författare)
  • Towards an Automated Analysis of Biomedical Abstracts
  • 2006
  • Ingår i: Data Integration in the Life Sciences. - Berlin, Heidelberg : Springer. - 9783540365938 ; , s. 50-65
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • An essential part of bioinformatic research concerns the iterative process of validating hypotheses by analyzing facts stored in databases and in published literature. This process can be enhanced by language technology methods, in particular by automatic text understanding. Since it is becoming increasingly difficult to keep up with the vast number of scientific articles being published, there is a need for more easily accessible representations of the current knowledge. The goal of the research described in this paper is to develop a system aimed to support the large-scale research on metabolic and regulatory pathways by extracting relations between biological objects from descriptions found in literature. We present and evaluate the procedures for semantico-syntactic tagging, dividing the text into parts concerning previous research and current research, syntactic parsing, and transformation of syntactic trees into logical representations similar to the pathway graphs utilized in the Kyoto Encyclopaedia of Genes and Genomes.
  •  
16.
  • Gawronska, Barbara (författare)
  • Towards In-Depth Understanding of Biomedical Texts
  • 2004
  • Ingår i: the International IPSI-2004 Conference. - 8674661173
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • An essential part of bioinformatic research concerns the iterative process of validitating hypotheses by analysing facts stored in databases and in published literature. This process can be enhanced by language technology methods, in particular by automatic in-depth text understanding.A high-quality system for extracting relevant information from biological texts must include an algorithm for distinguishing between the background and the foreground information in a text, in order not to confuse the previous research referred to and the current research reported in a particular paper.Furthermore, text understanding requires a strategy for anaphora recognition. The paper focuses on these two issues in automatic processing of abstracts in the domain of genetics
  •  
17.
  • Gawronska, Barbara, et al. (författare)
  • Tracking biological relations in texts : a Referent Grammar based approach
  • 2005
  • Ingår i: Proceedings of the workshop Biomedical Ontologies and Text Processing, in connection to ECCB/05. ; , s. 15-22
  • Konferensbidrag (refereegranskat)abstract
    • In this paper, we describe a method for extracting biological relations (in the first place, relations used in the KEGG ontology of biological pathways) from scientific texts. The main assumption is that correct syntactic analysis combined with domain-specific heuristics provides a good basis for relation extraction. We propose an algorithm that searches through the syntactic trees produced by a parser based on a formalism called Referent Grammar (inspired by Categorial Grammar), identifies relations mentioned in the sentence, and classifies them with respect to their semantic class and epistemic status (facts, counterfactuals, hypotheses).
  •  
18.
  • Hemeren, Paul E., et al. (författare)
  • Lexicalization of natural actions and cross-linguistic stability
  • 2008
  • Ingår i: Proceedings of ISCA Tutorial and Research Workshop On Experimental Linguistics ExLing 2008. - : University of Athens. - 9789604660209 ; , s. 105-108
  • Konferensbidrag (refereegranskat)abstract
    • To what extent do Modern Greek, Polish, Swedish and American English similarly lexicalize action concepts, and how similar are the semantic associations between verbs denoting natural actions? Previous results indicate cross-linguistic stability between American English, Swedish, and Polish in verbs denoting basic human body movement, mouth movements, and sound production. The research reported here extends the cross-linguistic comparison to include Greek, which, unlike Polish, American English and Swedish, is a path-language. We used action imagery criteria to obtain lists of verbs from native Greek speakers. The data were analyzed by using multidimensional scaling, and the results were compared to those previously obtained.
  •  
19.
  •  
20.
  • Olsson, Björn, et al. (författare)
  • An Information Fusion Approach to Controlling Complexity in Bioinformatics Research
  • 2005
  • Ingår i: 2005 IEEE Computational Systems Bioinformatics Conference: Workshops & Poster Abstracts. - : IEEE Computer Society. - 0769524427 ; , s. 299-304
  • Konferensbidrag (refereegranskat)abstract
    • Information Fusion (IF) is about combining, or fusing, information from different sources in order to facilitate our understanding of a complex system and thereby provide insights that could not be gained from any of the individual data sources in isolation. We argue in this paper that there is a need for applying an IF approach in bioinformatics research, since the aim of bioinformatics is to understand complex biological systems using many different data sources providing complementary views of the system. We illustrate this argument with two application examples, where IF-based bioinformatics is applied to the study of stem cell differentiation and lipid digestion, respectively. We also discuss the use of automated information extraction from text sources, which is an essential component of a bioinformatics IF approach, given the abundant literature.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 11-20 av 29

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy