Extracting and querying relations in scientific papers
High-precision linguistic and semantic analysis of scientific texts is an emerging research
area. We describe methods and an application for extracting interesting factual relations
from scientific texts in computational linguistics and language technology. We use a hybrid
NLP architecture with shallow preprocessing for increased robustness and domain-specific,
ontology-based named entity recognition, followed by a deep HPSG parser running the
English Resource Grammar (ERG). The extracted relations in the MRS (minimal recursion …
area. We describe methods and an application for extracting interesting factual relations
from scientific texts in computational linguistics and language technology. We use a hybrid
NLP architecture with shallow preprocessing for increased robustness and domain-specific,
ontology-based named entity recognition, followed by a deep HPSG parser running the
English Resource Grammar (ERG). The extracted relations in the MRS (minimal recursion …
[PDF][PDF] Extracting and Querying Relations in Scientific Papers on Language Technology.
We describe methods for extracting interesting factual relations from scientific texts in
computational linguistics and language technology taken from the ACL Anthology. We use a
hybrid NLP architecture with shallow preprocessing for increased robustness and
domainspecific, ontology-based named entity recognition, followed by a deep HPSG parser
running the English Resource Grammar (ERG). The extracted relations in the MRS (minimal
recursion semantics) format are simplified and generalized using WordNet. The resulting …
computational linguistics and language technology taken from the ACL Anthology. We use a
hybrid NLP architecture with shallow preprocessing for increased robustness and
domainspecific, ontology-based named entity recognition, followed by a deep HPSG parser
running the English Resource Grammar (ERG). The extracted relations in the MRS (minimal
recursion semantics) format are simplified and generalized using WordNet. The resulting …
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