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A Language Modeling Text Mining Approach to the Annotation of Protein Community

Xiaodan Zhang, Daniel Wu, Xiaohua Zhou, Xiaohua Hu
2006 Sixth IEEE Symposium on BioInformatics and BioEngineering (BIBE'06)  
This paper discusses an ontology based language modeling text mining approach to the annotation of protein community.  ...  Thus, we present an ontology based mixture language model approach to annotate protein community. Compared to traditional method, we have the following three advantages.  ...  CONCLUSIONS In this paper, we present an ontology based language modeling text mining approach to the annotation of protein community, which provides a different perspective in evaluating and annotating  ... 
doi:10.1109/bibe.2006.253310 dblp:conf/bibe/ZhangWZH06 fatcat:mhyyavrqyrh6vocbmt3c4rl7sa

ISMB 2003 Text Mining SIG Meeting Report

Christian Blaschke, Alexander Yeh, Lynette Hirschman, Alfonso Valencia
2003 Comparative and Functional Genomics  
Acknowledgements The organizers of the workshop would like to thank especially all the speakers for their presentations, Marc Light for co-organizing the event, Steven Leard and the ISCB (The International  ...  Society for Computational Biology) for organizing the logistics and the infrastructure, and the EU projects ORIEL (Contract number: IST-2001-32688) and TEMBLOR (Contract number: VEQLRT 2001 00015) for  ...  A corpus of texts relevant to the study of protein structures was assembled.  ... 
doi:10.1002/cfg.338 pmid:18629019 pmcid:PMC2447301 fatcat:vmqqau3myrgsfdfhwotqljapje

The State of the Art on Knowledge Graph Construction from Text: Named Entity Recognition and Relation Extraction Perspectives

Jennifer D'Souza, Nandana Mihindukulasooriya
2022 Zenodo  
This presentation covers the state-of-the-art benchmark dataset resources as well as the best neural models for the respective task perspectives.  ...  This led to annotation and development of social media or twitter-specific NER corpora and tools. ■ A semantically annotated corpus for biomedical text mining. • Includes annotations for genes, proteins  ...  annotated corpus for biomedical text mining. • Includes annotations for genes, proteins, and other concepts in the Genia ontology. • Includes various levels of annotations other than named entities such  ... 
doi:10.5281/zenodo.6521883 fatcat:swra4e7rf5dljhjojl7nc2cq4i

How to link ontologies and protein-protein interactions to literature: text-mining approaches and the BioCreative experience

M. Krallinger, F. Leitner, M. Vazquez, D. Salgado, C. Marcelle, M. Tyers, A. Valencia, A. Chatr-aryamontri
2012 Database: The Journal of Biological Databases and Curation  
A range of text mining strategies has been devised to assist in the automated extraction of biological data.  ...  Here, we provide a general overview of current text-mining methods to automatically extract annotations of GO and PSI-MI ontology terms in the context of the BioCreative (Critical Assessment of Information  ...  Acknowledgements We would like to thank Lynette Hirschman and Christian Blaschke for their active feedback in the BioCreative tasks described in this article.  ... 
doi:10.1093/database/bas017 pmid:22438567 pmcid:PMC3309177 fatcat:3q2zwcobxfaebl4rw4hsnddid4

Application of Biomedical Text Mining [chapter]

Lejun Gong
2018 Artificial Intelligence - Emerging Trends and Applications  
The aim is to provide a way to quickly understand biomedical text mining for some researchers.  ...  With the enormous volume of biological literature, increasing growth phenomenon due to the high rate of new publications is one of the most common motivations for the biomedical text mining.  ...  Based on the rapid development of omics era, the BioCreative called Critical Assessment of Information Extraction system in Biology is a community-wide effort for the evaluation of text mining and information  ... 
doi:10.5772/intechopen.75924 fatcat:5o27ptssi5fwzbelnpktkwplby

Text-mining approaches in molecular biology and biomedicine

M KRALLINGER, R ERHARDT, A VALENCIA
2005 Drug Discovery Today  
Also , the use of text mining to aid the interpretation of microarray data and the analysis of pathology reports will be discussed.  ...  To extract relevant information using automatic techniques, text-mining and information-extraction approaches have been developed.  ...  Applications of text mining Functional annotation Annotation of the function of genes and proteins is the principal goal of genome analysis.  ... 
doi:10.1016/s1359-6446(05)03376-3 pmid:15808823 fatcat:w5i3ciuq4zhk7oq4kbbv5wqfma

The Treasury Chest of Text Mining: Piling Available Resources for Powerful Biomedical Text Mining

Nícia Rosário-Ferreira, Catarina Marques-Pereira, Manuel Pires, Daniel Ramalhão, Nádia Pereira, Victor Guimarães, Vítor Santos Costa, Irina S. Moreira
2021 BioChem  
When applied to biomedical literature, text mining is named biomedical text mining and its specificity lies in both the type of analyzed documents and the language and concepts retrieved.  ...  Text mining (TM) is a semi-automatized, multi-step process, able to turn unstructured into structured data.  ...  The funding agencies had no role in the design of the study, in the collection, analyzes, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/biochem1020007 fatcat:qve6xgoxuvbwzpqz6q45s7wlly

Proceedings of the Second International Symposium for Semantic Mining in Biomedicine

Sophia Ananiadou, Juliane Fluck
2006 BMC Bioinformatics  
The full contents of the supplement are available online at http://www.biomedcentral.com/1471-2105/7?issue=S3.  ...  Acknowledgements This article has been published as part of BMC Bioinformatics Volume 7, Supplement 3, 2006: Second International Symposium on Semantic Mining in Biomedicine.  ...  The approach is based on a parser using a hand-written grammar combined with a statistical language model that calculates lexicalized attachment probabilities.  ... 
doi:10.1186/1471-2105-7-s3-s1 fatcat:h26jwoukezbvtgt73qlrfhyapy

Text mining for systems biology

Juliane Fluck, Martin Hofmann-Apitius
2014 Drug Discovery Today  
Scientific communication in biomedicine is, by and large, still text based, because we all feel the need to report scientific advancements in a way that enables us to make use of the high expressiveness  ...  Modelling of complex biological processes, spanning pathways to entire diseases, can be done at various levels of granularity using a range of mathematical modelling approaches [2] .  ...  [19] demonstrated the value of a combination of a pharmacokinetics ontology, a well-annotated reference corpus, and a text-mining system that recognizes most types of information relevant to pharmacokinetics  ... 
doi:10.1016/j.drudis.2013.09.012 pmid:24070668 fatcat:ajnerehdqndv5nk3l6jak42n5e

BioC: a minimalist approach to interoperability for biomedical text processing

D. C. Comeau, R. Islamaj Dogan, P. Ciccarese, K. B. Cohen, M. Krallinger, F. Leitner, Z. Lu, Y. Peng, F. Rinaldi, M. Torii, A. Valencia, K. Verspoor (+3 others)
2013 Database: The Journal of Biological Databases and Curation  
Acknowledgement The authors thank the anonymous reviewers for their useful suggestions in improving this manuscript. .................................................................................  ...  Introduction With the proliferation of natural language text, text mining has emerged as an important research area.  ...  This web services-based approach to text mining, if successful, could serve as a proof-of-concept to decouple the potentially disparate technical infrastructures of text mining integrators and their service  ... 
doi:10.1093/database/bat064 pmid:24048470 pmcid:PMC3889917 fatcat:m5q3ltrfobg4fgkash3katpkia

Critical Assessment of Information Extraction Systems in Biology

Christian Blaschke, Lynette Hirschman, Alexander Yeh, Alfonso Valencia
2003 Comparative and Functional Genomics  
An increasing number of groups are now working in the area of text mining, focusing on a wide range of problems and applying both statistical and linguistic approaches.  ...  Inspired by this example, the BioLINK group (Biological Literature, Information and Knowledge [1]) is organizing a CASP-like evaluation for the text data-mining community applied to biology.  ...  The 'natural language processing' or MUC version of this task required that a system identify each mention of a gene or protein in the text.  ... 
doi:10.1002/cfg.337 pmid:18629031 pmcid:PMC2447314 fatcat:ui3y2qsegvbpdhg6qafs7esrxe

Report On Prototypes Constructed Using Big Data Approaches

Chris Morris, Rob Firth, Martyn Winn, Francesco Talo
2018 Zenodo  
While this serves as a useful prototype, further cleaning of the input data and better training of the model are still required.  ...  Using it, annotations will be made to all past papers with known links to entries in the Protein Data Bank. These annotations are available in EuropePMC.  ...  PDBe query system for all macromolecular structures in the PDB) as a corpus definition to a text processing service to take advantage of existing text mining facilities.  ... 
doi:10.5281/zenodo.1245644 fatcat:qi2f6wwmfraflackft5ble4qyi

The BioLink SIG Workshop at ISMB2004

Lynette Hirschman, Christian Blaschke, Alfonso Valencia
2005 Comparative and Functional Genomics  
We would also like to thank the invited speakers, whose workshop abstracts appear in this overview.  ...  Acknowledgements We would like to thank the Program Committee for their careful reviewing: Luc Dehaspe, Robert Gaizauskas, William Hersh, Karin Verspoor and Alexander Yeh.  ...  BioMinT: a database curator's assistant for biomedical text processing -Anne-Lise Veuthey The goal of the BioMinT project is to develop a generic text mining tool that assists manual database annotation  ... 
doi:10.1002/cfg.455 pmid:18629301 pmcid:PMC2448605 fatcat:lfl62kerhbdvblziets4jxihqa

Adaptation of MelanomaMine and LiMTox to the analysis of paediatric cancers and application to biomedical publications on paediatric cancers

Davide Cirillo, Matteo Manica, Salvador Capella-Gutierrez, Alfonso Valencia, Martin Krallinger, Javier Omar Corvi, José María Fernández, Alejandro Canosa, Elena De La Calle, Joao Pita Costa, Jolanda Modic
2021 Zenodo  
These tools will be used in the framework of the iPC project but also beyond, having a clear impact in the research community.  ...  The workflow builds on the general framework of two text mining tools, LimTox and MelanomaMine.  ...  endeavour, which requires the use of Natural Language Processing (NLP) and, in particular, text mining approaches.  ... 
doi:10.5281/zenodo.6546342 fatcat:ro3eopiyqbebrpfuk6cxuzujdq

Text mining for biology - the way forward: opinions from leading scientists

Russ B Altman, Casey M Bergman, Judith Blake, Christian Blaschke, Aaron Cohen, Frank Gannon, Les Grivell, Udo Hahn, William Hersh, Lynette Hirschman, Lars Jensen, Martin Krallinger (+6 others)
2008 Genome Biology  
and supporting community-based annotation; the importance of scaling text mining technology and inserting it into larger workflows; and suggestions for additional challenge evaluations, new applications  ...  The responses identify several broad themes, including the possibility of fusing literature and biological databases through text mining; the need for user interfaces tailored to different classes of users  ...  Acknowledgements The BioCreative II challenge and workshop were sponsored by the Frontiers of Functional Genomics Programme of the European Science Foundation (ESF) and by Genoma Espana http://gen-es.org  ... 
doi:10.1186/gb-2008-9-s2-s7 pmid:18834498 pmcid:PMC2559991 fatcat:6cerr44envaqrfatnatmiy5nbq
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