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Assessing the performance of Olelo, a real-time
biomedical question answering application
Contact
e-mail: mariana.neves@hpi.de
● We recently developed Olelo, a question answering (QA) system for biomedicine.
● This year, we participated with the current state of the application and with an extension based on semantic role
labeling (SRL) that we are currently investigating.
● We compared our system to other on-line biomedical QA systems (AskHermes, EAGLi, HONQA) in terms of the response
time and the quality of the answers.
Olelo in BioASQ task 5b
Mariana Neves, Fabian Eckert, Hendrik Folkerts, Matthias Uflacker
Hasso Plattner Institute at University of Potsdam, Germany
Natural Language Processing
Results for BioASQ task 5b
Systems & Methods
● Olelo includes various NLP components: question processing, document and passage retrieval, answer processing and
multi-document summarization.
● For the SRL approach, we used BioKIT tool and propose a rule-based approach to investigate if SRL could improve Olelo.
We created a set of rules to make use of SRL for answering yes/no, factoid, list and summary questions. Basically, the
rules aim to rank answer snippets by their semantic conformity with the question. Semantic conformity was measured by
comparing the PASs found in the question and a particular answer candidate.
http://hpi.de/plattner/olelo
Related publications:
● Kraus M, Niedermeier J, Jankrift M, Tietböhl S, Stachewicz T, Folkerts H, Uflacker M and Neves M. Olelo: a web application for intuitive exploration of
biomedical literature, Nucleic Acids Research Web service issue, 2017.
● Schulze F and Neves M. Entity-Supported Summarization of Biomedical Abstracts, Fifth Workshop on Building and Evaluating Resources for Biomedical Text
Mining, Coling 2016, Osaka, Japan.
● Neves M and Kraus M. BioMedLAT Corpus: Annotation of the Lexical Answer Type for Biomedical Questions, Proceedings of the Open Knowledge Base
and Question Answering Workshop at Coling 2016, pp. 49-58, Osaka, Japan.
Results in terms of number of correct answers and response time
for the on-line QA applications.
Results for Olelo and the SRL approach in the BioASQ task 5b phases B (exact
answers). Results for yes/no questions are in terms of accuracy, MRR for factoid
questions and f-measure for list questions. Range of top results in all batches are
presented in the last row.
Results for ideal answers (summaries) in terms of Rouge metrics
for Olelo and the SRL approach. Range of top results in all
batches are presented in the last row.
Results for mean average precision (MAP) for Olelo in BioASQ
task 5b phase A, i.e., for document retrieval and passage
retrieval. Range of top results in all batches are presented in
the last row.

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Mariana Neves - 2017 - Assessing the performance of Olelo, a real-time biomedical question answering application

  • 1. Assessing the performance of Olelo, a real-time biomedical question answering application Contact e-mail: mariana.neves@hpi.de ● We recently developed Olelo, a question answering (QA) system for biomedicine. ● This year, we participated with the current state of the application and with an extension based on semantic role labeling (SRL) that we are currently investigating. ● We compared our system to other on-line biomedical QA systems (AskHermes, EAGLi, HONQA) in terms of the response time and the quality of the answers. Olelo in BioASQ task 5b Mariana Neves, Fabian Eckert, Hendrik Folkerts, Matthias Uflacker Hasso Plattner Institute at University of Potsdam, Germany Natural Language Processing Results for BioASQ task 5b Systems & Methods ● Olelo includes various NLP components: question processing, document and passage retrieval, answer processing and multi-document summarization. ● For the SRL approach, we used BioKIT tool and propose a rule-based approach to investigate if SRL could improve Olelo. We created a set of rules to make use of SRL for answering yes/no, factoid, list and summary questions. Basically, the rules aim to rank answer snippets by their semantic conformity with the question. Semantic conformity was measured by comparing the PASs found in the question and a particular answer candidate. http://hpi.de/plattner/olelo Related publications: ● Kraus M, Niedermeier J, Jankrift M, Tietböhl S, Stachewicz T, Folkerts H, Uflacker M and Neves M. Olelo: a web application for intuitive exploration of biomedical literature, Nucleic Acids Research Web service issue, 2017. ● Schulze F and Neves M. Entity-Supported Summarization of Biomedical Abstracts, Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining, Coling 2016, Osaka, Japan. ● Neves M and Kraus M. BioMedLAT Corpus: Annotation of the Lexical Answer Type for Biomedical Questions, Proceedings of the Open Knowledge Base and Question Answering Workshop at Coling 2016, pp. 49-58, Osaka, Japan. Results in terms of number of correct answers and response time for the on-line QA applications. Results for Olelo and the SRL approach in the BioASQ task 5b phases B (exact answers). Results for yes/no questions are in terms of accuracy, MRR for factoid questions and f-measure for list questions. Range of top results in all batches are presented in the last row. Results for ideal answers (summaries) in terms of Rouge metrics for Olelo and the SRL approach. Range of top results in all batches are presented in the last row. Results for mean average precision (MAP) for Olelo in BioASQ task 5b phase A, i.e., for document retrieval and passage retrieval. Range of top results in all batches are presented in the last row.