Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.

about

Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation.

P2860

Q55461825-1C896C48-A246-4253-96A8-C18C03FF0279

P2860

Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.

Item

http://www.wikidata.org/entity/Q38379788

description

2016 nî lūn-bûn

@nan

2016 թվականի հունվարին հրատարակված գիտական հոդված

@hy

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

2016年论文

@zh

name

Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.

@en

type

Item

label

Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.

@en

prefLabel

Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.

@en

P1476

Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.

@en

P2093

Hua Xu

http://www.w3.org/2001/XMLSchema#string

Jingqi Wang

http://www.w3.org/2001/XMLSchema#string

Min Jiang

http://www.w3.org/2001/XMLSchema#string

Yaoyun Zhang

http://www.w3.org/2001/XMLSchema#string

P2860

PASBio: predicate-argument structures for event extraction in molecular biology

Community challenges in biomedical text mining over 10 years: success, failure and the future.

Classifying temporal relations in clinical data: a hybrid, knowledge-rich approach.

Methodology for creating UMLS content views appropriate for biomedical natural language processing

The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text.

BIOSMILE: a semantic role labeling system for biomedical verbs using a maximum-entropy model with automatically generated template features

Semantic role labeling for protein transport predicates.

Nominalization and alternations in biomedical language.

Domain adaptation for semantic role labeling in the biomedical domain.

Improved identification of noun phrases in clinical radiology reports using a high-performance statistical natural language parser augmented with the UMLS specialist lexicon.

P304

1283-1292

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P478

2016

http://www.w3.org/2001/XMLSchema#string

P577

2016-01-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

28269926

http://www.w3.org/2001/XMLSchema#string

P921

semantic role labeling

P932

5333340

http://www.w3.org/2001/XMLSchema#string

Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.

about

P2860

P2860

Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P478

P577

P698

P921

P932

P1433

P1476

P2093

P2860

P304

P31

P478

P577

P698

P921

P932