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The biomedical domain

Parallel Corpora for the Biomedical Domain

Parallel Corpora for the Biomedical Domain

... of biomedical information is available in the form of scientific literature and government-authored patient information ...the biomedical task in the Conference on Machine Translation (WMT’16 and WMT’17), ...

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Question Answering in the Biomedical Domain

Question Answering in the Biomedical Domain

... vincent.nguyen@anu.edu.au Abstract Question answering techniques have mainly been investigated in open domains. How- ever, there are particular challenges in extend- ing these open-domain techniques to extend into ...

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This before That: Causal Precedence in the Biomedical Domain

This before That: Causal Precedence in the Biomedical Domain

... this domain, the initial results are promising, and demonstrate that a sieve-based system of the models tested here improves performance over the top-performing in- dividual ...

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Language Resources for French in the Biomedical Domain

Language Resources for French in the Biomedical Domain

... Abstract The biomedical domain offers a wealth of linguistic resources for Natural Language Processing, including terminologies and corpora. While many of these resources are prominently available for ...

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Insights into Analogy Completion from the Biomedical Domain

Insights into Analogy Completion from the Biomedical Domain

... the biomedical domain, we identify three assumptions: that of a Single Answer for any given analogy, that the pairs involved describe the Same Re- lationship, and that each pair is Informa- tive with ...

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CiteSeerX — An Upper-Level Ontology for the Biomedical Domain

CiteSeerX — An Upper-Level Ontology for the Biomedical Domain

... At the US National Library of Medicine we have developed the Unified Medical Language System (UMLS), whose goal it is to provide integrated access to a large number of biomedical resources by unifying the ...

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Sieve based Coreference Resolution in the Biomedical Domain

Sieve based Coreference Resolution in the Biomedical Domain

... the biomedical domain, and a sieve-based architecture that leverages domain knowledge for both entity and event coreference ...resolution. Domain-general coreference resolution algorithms ...

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Porting a lexicalized-grammar parser to the biomedical domain

Porting a lexicalized-grammar parser to the biomedical domain

... the biomedical text mining community, and proposes a method of adapting it to the biomedical domain requiring only lim- ited resources for data ...on biomedical data leads to a large ...

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Disambiguation in the biomedical domain: The role of ambiguity type

Disambiguation in the biomedical domain: The role of ambiguity type

... The vast majority of WSD systems that have been developed for the biomedical domain have been applied to a single type of ambi- guity. There have not been any studies that explore the perfor- mance of ...

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Adapting the TTL Romanian POS Tagger to the Biomedical Domain

Adapting the TTL Romanian POS Tagger to the Biomedical Domain

... aggregation domain adaptation method, high-quality training data in both the source and the target domains is vital for a good performance of the POS ...in biomedical domain re- mains a barrier for ...

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Bootstrapping and Evaluating Named Entity Recognition in the Biomedical Domain

Bootstrapping and Evaluating Named Entity Recognition in the Biomedical Domain

... useful domain resources ...of biomedical IE systems to know not only the gene names but also whether the text refers to the actual gene or ...the biomedical domain should include ef- forts to ...

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Generating and using probabilistic morphological resources for the biomedical domain

Generating and using probabilistic morphological resources for the biomedical domain

... 2. Related work Different studies rely on morphology to perform some terminological analysis. It is especially the case in the biomedical domain. Indeed, on the one hand, terminolo- gies are a keystone for ...

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Parser Adaptation to the Biomedical Domain without Re Training

Parser Adaptation to the Biomedical Domain without Re Training

... Although the Penn Treebank has been a vital tool in the development and evaluation of pars- ing technology, providing a standard dataset for comparison of parsers, practical application of these techniques usually ...

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Entity recognition in the biomedical domain using a hybrid approach

Entity recognition in the biomedical domain using a hybrid approach

... NER can be solved using several techniques: • Using manual, hand-written rules. A group of experts develops these rules using domain knowledge. The rules typically rely on orthographic patterns, such as particular ...

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Using a Hybrid Approach for Entity Recognition in the Biomedical Domain

Using a Hybrid Approach for Entity Recognition in the Biomedical Domain

... the Biomedical Domain Basaldella, Marco ; Furrer, Lenz ; Colic, Nicola ; Ellendorff, Tilia Renate ; Tasso, Carlo ; Rinaldi, Fabio Abstract: This paper presents an approach towards high performance ...

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Co-occurrence graphs for word sense disambiguation in the biomedical domain

Co-occurrence graphs for word sense disambiguation in the biomedical domain

... b Department of Computer Science, University of Sheffield. Regent Court, 211 Portobello. S1 4DP Sheffield, United Kingdom Abstract Word Sense Disambiguation is a key step for many Natural Language Processing tasks (e.g. ...

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Text summarization in the biomedical domain: A systematic review of recent research

Text summarization in the biomedical domain: A systematic review of recent research

... 5. Conclusions We systematically reviewed the literature on text summariza- tion methods in the biomedical domain. Our study found a pre- dominance of methods that produce extractive summaries; use multiple ...

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Ongoing Developments in Automatically Adapting Lexical Resources to the Biomedical Domain

Ongoing Developments in Automatically Adapting Lexical Resources to the Biomedical Domain

... 2 Computer Science Departement, University Djillali Liabes 3 Institut f¨ur Maschinelle Sprachverarbeitung, Universit¨at Stuttgart Abstract This paper describes a range of experiments using empirical methods to adapt the ...

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A deep learning approach to bilingual lexicon induction in the biomedical domain

A deep learning approach to bilingual lexicon induction in the biomedical domain

... This orthographic evidence comes to the fore especially in domains such as legal domain or biomedicine. In such expert domains, words sharing their roots, typi- cally from Greek and Latin, as well as acronyms and ...

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A Maximum-Entropy approach for accurate document annotation in the biomedical domain

A Maximum-Entropy approach for accurate document annotation in the biomedical domain

... the biomedical domain and present a new automated and robust method, based on a Maximum Entropy approach, for annotating biomedical literature documents with terms from the Medical Subject Headings ...

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