Automatic recognition of conceptualization zones in scientific articles and two life science applications - Wikidata - wikimedia - TriplyDB

Automatic recognition of conceptualization zones in scientific articles and two life science applications

Automatic recognition of conceptualization zones in scientific articles and two life science applications

http://www.wikidata.org/entity/Q42562398

about

Automated detection of discourse segment and experimental types from the text of cancer pathway results sections A supervised approach to quantifying sentence similarity: with application to evidence based medicine Section level search functionality in Europe PMC.Literature evidence in open targets - a target validation platform Extracting semantically enriched events from biomedical literature.Recognizing scientific artifacts in biomedical literature.Using typed dependencies to study and recognise conceptualisation zones in biomedical literature DiMeX: A Text Mining System for Mutation-Disease Association Extraction.Dynamic enhancement of drug product labels to support drug safety, efficacy, and effectiveness.Biocuration: a new challenge for the tunicate community.Biomedical text mining for research rigor and integrity: tasks, challenges, directions.Biological network extraction from scientific literature: state of the art and challenges.Authorship identification of documents with high content similarity.Identification of research hypotheses and new knowledge from scientific literature.Stance Classification of Twitter Debates

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P2860

Automatic recognition of conceptualization zones in scientific articles and two life science applications

http://www.wikidata.org/entity/Q42562398

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Automatic recognition of conce ...... two life science applications

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P2860

The SWAN biomedical discourse ontology

Enriching a biomedical event corpus with meta-knowledge annotation.

Using argumentation to extract key sentences from biomedical abstracts.

New directions in biomedical text annotation: definitions, guidelines and corpus construction

Recognizing speculative language in biomedical research articles: a linguistically motivated perspective.

A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment

Event extraction for systems biology by text mining the literature.

Categorization of sentence types in medical abstracts

A survey of current work in biomedical text mining.

Multi-dimensional classification of biomedical text: toward automated, practical provision of high-utility text to diverse users

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