Лингвистикалық үлгілер

material ID: linguisticpatterns

Related Papers

Constituent Boundary Parsing for Example-Based Machine Translation

Authors: nan

Publication: TIPSTER (1994)

DOI: nan

This paper i)roposes an effective parsing nicthod for examlile-based machine transhltiOl~. In this method, an input string is parsed by the tOl)-down aplflication of linguistic patterns consisting ol variables and …...

2507

PAT-Trees with the Deletion Function as the Learning Device for Linguistic Patterns

Authors: nan

Publication: TIPSTER (1998)

DOI: nan

In this study, a learning device based on the PAT- tree data structures was developed. The original PAT-trees were enhanced with the deletion function to emulate human learning competence. The …...

35251

Acquiring Hyponymy Relations from Web Documents

Authors: nan

Publication: TIPSTER (2004)

DOI: nan

This paper describes an automatic method for acquiring hyponymy relations from HTML documents on the WWW. Hyponymy relations can play a crucial role in various natural lan- guage processing systems. …...

24279

Next Generation Language Resources using Grid

Authors: nan

Publication: TIPSTER (2006)

DOI: nan

AbstractThis paper presents a case study concerning the challenges and requirements posed by next generation language resources, realized as an overall model of open, distributed and collaborative language infrastructure. If …...

7562

Esculape : un système de question-réponse dans le domaine médical fondé sur l’extraction de relations [Esculape: a question-answering system in the medical domain based on relation extraction]

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

. In this article, we focus on the problem of adapting an open-domain question- answering system to a specialized domain, the medical domain in the present case with family doctors …...

1674

Semantic Relation Extraction with Semantic Patterns Experiment on Radiology Reports

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractThis work presents a practical system for indexing terms and relations from French radiology reports, called IMAIOS. In this paper, we present how semantic relations (causes, consequences, symptoms, locations, parts...) …...

14644

Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractWe presents in this paper our approach for modeling inter-topic preferences of Twitter users: for example, “those who agree with the Trans-Pacific Partnership (TPP) also agree with free trade”. This …...

40075

Predicting Counselor Behaviors in Motivational Interviewing Encounters

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractAs the number of people receiving psycho-therapeutic treatment increases, the automatic evaluation of counseling practice arises as an important challenge in the clinical domain. In this paper, we address the …...

42458

Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractAccurately diagnosing depression is difficult– requiring time-intensive interviews, assessments, and analysis. Hence, automated methods that can assess linguistic patterns in these interviews could help psychiatric professionals make faster, more informed …...

38432