• No results found

[PDF] Top 20 Towards Very Large Ontologies for Medical Language Processing

Has 10000 "Towards Very Large Ontologies for Medical Language Processing" found on our website. Below are the top 20 most common "Towards Very Large Ontologies for Medical Language Processing".

Towards Very Large Ontologies for Medical Language Processing

Towards Very Large Ontologies for Medical Language Processing

... several language extensions have been proposed which provide special constructors for part- whole reasoning (Rector et ...the medical (Hahn et ...concept language (Woods and ... See full document

8

Collection and linguistic processing of a large-scale corpus of medical articles

Collection and linguistic processing of a large-scale corpus of medical articles

... a large-scale corpus of electronic articles in the cardiology domain (85 million+ words) in the framework of a digital library project that tailors the presentation of online medical literature to both ... See full document

5

From medical language processing to BioNLP domain

From medical language processing to BioNLP domain

... Different terms used to communicate the same idea can generate linguistic ambiguity, since the same word or phrase can allow for more than one interpretation, thus affecting the information retrieval process. It follows ... See full document

7

A bibliometric analysis of natural language processing in medical research

A bibliometric analysis of natural language processing in medical research

... Natural language processing (NLP) is a theoretically moti- vated range of computational techniques for the automatic analysis and representation of human language ...human-like language ... See full document

14

Toward a comprehensive drug ontology: extraction of drug-indication relations from diverse information sources

Toward a comprehensive drug ontology: extraction of drug-indication relations from diverse information sources

... American Medical Association; BAN: British Approved Name; BT: broader term; CAS number or CAS#: Chemical Abstracts Service Registry Number; ChEBI: Chemical Entities of Biological Interest; CTD: Comparative ... See full document

10

A Framework to Generate Sets of Terms from Large Scale Medical Vocabularies for Natural Language Processing

A Framework to Generate Sets of Terms from Large Scale Medical Vocabularies for Natural Language Processing

... query language, the system we propose has the advantage of pro- viding a clean, modular and declarative way to define, maintain and change the criteria of selecting and generating terms from large-scale ... See full document

6

A Parallel Approach for Matching Large-scale Ontologies

A Parallel Approach for Matching Large-scale Ontologies

... partition large ontologies: PBM (Partition-based block matching) [Hu et ...both ontologies) are determined using a linguistic similarity ...two ontologies, are used to guide the partitioning ... See full document

14

SBVR Based Natural Language Interface to Ontologies

SBVR Based Natural Language Interface to Ontologies

... in different languages. We evaluated the correctness using precision, recall and F-measure parameters and also compared results with evaluation of other NLIs. The prototype NLI was implemented using Java pro- graming ... See full document

20

Gulgulia- Hindi- Khortha Code-Switching: A Study of Language Contact Phenomenon in Dhanbad (Jharkhand, (India)

Gulgulia- Hindi- Khortha Code-Switching: A Study of Language Contact Phenomenon in Dhanbad (Jharkhand, (India)

... Jharia, very famous for its coal mines and mining industry is the major commercial of the region, hence, not only are there many Hindi speakers, but more importantly, Hindi is usually the lingua ... See full document

5

Towards Understanding Theoretical Developments in Natural Language Processing

Towards Understanding Theoretical Developments in Natural Language Processing

... natural language interface accepts commands in natural language and sends data to the system which then provides the appropriate responses to the ...natural language interface translates the natural ... See full document

5

A Large Subcategorization Lexicon for Natural Language Processing Applications

A Large Subcategorization Lexicon for Natural Language Processing Applications

... too large for exhaustive manual ...a large number of verbs, but the resulting stan- dard may miss SCFs present in the corpus data or contain SCFs absent from the corpus data (particularly for low fre- ... See full document

6

Centralized Clustering Method To Increase Accuracy In Ontology Matching Systems

Centralized Clustering Method To Increase Accuracy In Ontology Matching Systems

... The SeeCC method was run on the Conference data set and the results were compared with those of the Falcon-AO. Falcon-AO has 4 matchers so that for ontologies with more than 5000 concepts, PBM matcher is fetched. ... See full document

10

Towards Automatic Generation of Application Ontologies

Towards Automatic Generation of Application Ontologies

... Melnik et al. [Melnik et al. 2002] describe syntactic techniques based on modeling the schemas as graphs. Bilke and Naumann [Bilke and Naumann 2005] propose a semantic technique based on an analysis of duplicated ... See full document

16

PRE-PROCESSING ONTOLOGIES TO IMPROVE THE RESULTS OF MATCHERS

PRE-PROCESSING ONTOLOGIES TO IMPROVE THE RESULTS OF MATCHERS

... in ontologies were made with a semi-automatic process for achieving new versions of ontologies that are more understandable by users and ...of ontologies can be used more effectively by different ... See full document

14

Towards the Annotation of Penn TreeBank with Information Structure

Towards the Annotation of Penn TreeBank with Information Structure

... Information Structure (IS) determines the “communicative” segmentation of the meaning of an utterance, which makes it central to the semantics–syntax– intonation interface and therefore also to NLP. Despite this ... See full document

7

Communication in large distributed AI Systems for Natural Language Processing

Communication in large distributed AI Systems for Natural Language Processing

... Communication in large distributed AI Systems for Natural Language Processing C o m m u n i c a t i o n in large distributed AI Systems for Natural Language Processing J a n W A m t r u p * U n i v e[.] ... See full document

6

A Very Very Large Corpus Doesn’t Always Yield Reliable Estimates

A Very Very Large Corpus Doesn’t Always Yield Reliable Estimates

... However, contrary to intuition, we found that for many commonplace words, for example tight- ness , there was no sign of convergence as corpus size approaches one billion words. This suggests that for at least some ... See full document

6

Towards Understanding Text with a Very Large Vocabulary

Towards Understanding Text with a Very Large Vocabulary

... Towards Understanding Text with a Very Large Vocabulary Towards Understanding Text with a Very Large Vocabulary Damaris Ayuso, R Bobrow, Dawn MacLaughlin, Marie Meteer, Lance Ramshaw, Rich Schwartz, R[.] ... See full document

5

Training Neural Network Language Models on Very Large Corpora

Training Neural Network Language Models on Very Large Corpora

... natural language processing has re- cently seen some changes by the introduction of new statistical techniques that are motivated by success- ful approaches from the machine learning commu- nity, in ... See full document

8

Towards Complex Text to SQL in Cross Domain Database with Intermediate Representation

Towards Complex Text to SQL in Cross Domain Database with Intermediate Representation

... In this work, we propose a neural approach, called IRNet, towards tackling the mismatch prob- lem and the lexical problem with intermediate representation and schema linking. Specifically, instead of end-to-end ... See full document

12

Show all 10000 documents...