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  • biotm-lrec2018-proc

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Profiling Medical Journal Articles Using a Gene Ontology Semantic Tagger

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

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Profiling Medical Journal Articles Using a Gene Ontology Semantic Tagger. / El Haj, Mahmoud; Rayson, Paul Edward; Piao, Scott Songlin; Knight, Jo.

LREC 2018, Eleventh International Conference on Language Resources and Evaluation. ed. / Nicoletta Calzolari; Khalid Choukri; Christopher Cieri; Thierry Declerck; Sara Goggi; Koiti Hasida; Hitoshi Isahara; Bente Maegaard; Joseph Mariani; Helene Mazo; Asuncion Moreno; Jan Odijk; Stelios Piperidis; Takenobu Tokunaga. European Language Resources Association (ELRA), 2018. p. 4593-4597.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

El Haj, M, Rayson, PE, Piao, SS & Knight, J 2018, Profiling Medical Journal Articles Using a Gene Ontology Semantic Tagger. in N Calzolari, K Choukri, C Cieri, T Declerck, S Goggi, K Hasida, H Isahara, B Maegaard, J Mariani, H Mazo, A Moreno, J Odijk, S Piperidis & T Tokunaga (eds), LREC 2018, Eleventh International Conference on Language Resources and Evaluation. European Language Resources Association (ELRA), pp. 4593-4597, The 11th Edition of the Language Resources and Evaluation Conference (LREC2018), Miyazaki, Japan, 7/05/18. <http://www.lrec-conf.org/proceedings/lrec2018/summaries/706.html>

APA

El Haj, M., Rayson, P. E., Piao, S. S., & Knight, J. (2018). Profiling Medical Journal Articles Using a Gene Ontology Semantic Tagger. In N. Calzolari, K. Choukri, C. Cieri, T. Declerck, S. Goggi, K. Hasida, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, S. Piperidis, & T. Tokunaga (Eds.), LREC 2018, Eleventh International Conference on Language Resources and Evaluation (pp. 4593-4597). European Language Resources Association (ELRA). http://www.lrec-conf.org/proceedings/lrec2018/summaries/706.html

Vancouver

El Haj M, Rayson PE, Piao SS, Knight J. Profiling Medical Journal Articles Using a Gene Ontology Semantic Tagger. In Calzolari N, Choukri K, Cieri C, Declerck T, Goggi S, Hasida K, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, Tokunaga T, editors, LREC 2018, Eleventh International Conference on Language Resources and Evaluation. European Language Resources Association (ELRA). 2018. p. 4593-4597

Author

El Haj, Mahmoud ; Rayson, Paul Edward ; Piao, Scott Songlin ; Knight, Jo. / Profiling Medical Journal Articles Using a Gene Ontology Semantic Tagger. LREC 2018, Eleventh International Conference on Language Resources and Evaluation. editor / Nicoletta Calzolari ; Khalid Choukri ; Christopher Cieri ; Thierry Declerck ; Sara Goggi ; Koiti Hasida ; Hitoshi Isahara ; Bente Maegaard ; Joseph Mariani ; Helene Mazo ; Asuncion Moreno ; Jan Odijk ; Stelios Piperidis ; Takenobu Tokunaga. European Language Resources Association (ELRA), 2018. pp. 4593-4597

Bibtex

@inproceedings{2b59cef1ce884893872f6488e00bd6bc,
title = "Profiling Medical Journal Articles Using a Gene Ontology Semantic Tagger",
abstract = "In many areas of academic publishing, there is an explosion of literature, and sub-division of fields into subfields, leading to stove-piping where sub-communities of expertise become disconnected from each other. This is especially true in the genetics literature over the last 10 years where researchers are no longer able to maintain knowledge of previously related areas. This paper extends several approaches based on natural language processing and corpus linguistics which allow us to examine corpora derived from bodies of genetics literature and will help to make comparisons and improve retrieval methods using domain knowledge via an existing gene ontology. We derived two open access medical journal corpora from PubMed related to psychiatric genetics and immune disorder genetics. We created a novel Gene Ontology Semantic Tagger (GOST) and lexicon to annotate the corpora and are then able to compare subsets of literature to understand the relative distributions of genetic terminology, thereby enabling researchers to make improved connections between them.",
author = "{El Haj}, Mahmoud and Rayson, {Paul Edward} and Piao, {Scott Songlin} and Jo Knight",
year = "2018",
month = may,
day = "11",
language = "English",
isbn = "9791095546009",
pages = "4593--4597",
editor = "Nicoletta Calzolari and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Mazo, {Helene } and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga",
booktitle = "LREC 2018, Eleventh International Conference on Language Resources and Evaluation",
publisher = "European Language Resources Association (ELRA)",
note = "The 11th Edition of the Language Resources and Evaluation Conference (LREC2018) ; Conference date: 07-05-2018 Through 12-05-2018",
url = "http://lrec2018.lrec-conf.org/",

}

RIS

TY - GEN

T1 - Profiling Medical Journal Articles Using a Gene Ontology Semantic Tagger

AU - El Haj, Mahmoud

AU - Rayson, Paul Edward

AU - Piao, Scott Songlin

AU - Knight, Jo

PY - 2018/5/11

Y1 - 2018/5/11

N2 - In many areas of academic publishing, there is an explosion of literature, and sub-division of fields into subfields, leading to stove-piping where sub-communities of expertise become disconnected from each other. This is especially true in the genetics literature over the last 10 years where researchers are no longer able to maintain knowledge of previously related areas. This paper extends several approaches based on natural language processing and corpus linguistics which allow us to examine corpora derived from bodies of genetics literature and will help to make comparisons and improve retrieval methods using domain knowledge via an existing gene ontology. We derived two open access medical journal corpora from PubMed related to psychiatric genetics and immune disorder genetics. We created a novel Gene Ontology Semantic Tagger (GOST) and lexicon to annotate the corpora and are then able to compare subsets of literature to understand the relative distributions of genetic terminology, thereby enabling researchers to make improved connections between them.

AB - In many areas of academic publishing, there is an explosion of literature, and sub-division of fields into subfields, leading to stove-piping where sub-communities of expertise become disconnected from each other. This is especially true in the genetics literature over the last 10 years where researchers are no longer able to maintain knowledge of previously related areas. This paper extends several approaches based on natural language processing and corpus linguistics which allow us to examine corpora derived from bodies of genetics literature and will help to make comparisons and improve retrieval methods using domain knowledge via an existing gene ontology. We derived two open access medical journal corpora from PubMed related to psychiatric genetics and immune disorder genetics. We created a novel Gene Ontology Semantic Tagger (GOST) and lexicon to annotate the corpora and are then able to compare subsets of literature to understand the relative distributions of genetic terminology, thereby enabling researchers to make improved connections between them.

M3 - Conference contribution/Paper

SN - 9791095546009

SP - 4593

EP - 4597

BT - LREC 2018, Eleventh International Conference on Language Resources and Evaluation

A2 - Calzolari, Nicoletta

A2 - Choukri, Khalid

A2 - Cieri, Christopher

A2 - Declerck, Thierry

A2 - Goggi, Sara

A2 - Hasida, Koiti

A2 - Isahara, Hitoshi

A2 - Maegaard, Bente

A2 - Mariani, Joseph

A2 - Mazo, Helene

A2 - Moreno, Asuncion

A2 - Odijk, Jan

A2 - Piperidis, Stelios

A2 - Tokunaga, Takenobu

PB - European Language Resources Association (ELRA)

T2 - The 11th Edition of the Language Resources and Evaluation Conference (LREC2018)

Y2 - 7 May 2018 through 12 May 2018

ER -