Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
The Frame-Based Module of the SUISEKI Information Extraction System
IEEE Intelligent Systems
Automatic Extraction of Biological Information from Scientific Text: Protein-Protein Interactions
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
Kernel methods for relation extraction
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Classifying semantic relations in bioscience texts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Comparative experiments on learning information extractors for proteins and their interactions
Artificial Intelligence in Medicine
Learning rules to extract protein interactions from biomedical text
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Combining linguistic and structural descriptors for mining biomedical literature
Proceedings of the 2006 ACM symposium on Document engineering
Kernel-based learning for biomedical relation extraction
Journal of the American Society for Information Science and Technology
Methodological Review: Extracting interactions between proteins from the literature
Journal of Biomedical Informatics
Using lexical and relational similarity to classify semantic relations
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Classification of Protein Interaction Sentences via Gaussian Processes
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Building a semantically annotated corpus of clinical texts
Journal of Biomedical Informatics
Collaborative text-annotation resource for disease-centered relation extraction from biomedical text
Journal of Biomedical Informatics
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Journal of Biomedical Informatics
Mining protein interactions from text using convolution kernels
PAKDD'09 Proceedings of the 13th Pacific-Asia international conference on Knowledge discovery and data mining: new frontiers in applied data mining
Bootstrapping location relations from text
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Protein interaction detection in sentences via Gaussian Processes: a preliminary evaluation
International Journal of Data Mining and Bioinformatics
Recursive sequence mining to discover named entity relations
IDA'10 Proceedings of the 9th international conference on Advances in Intelligent Data Analysis
Sequential patterns to discover and characterise biological relations
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Learning bayesian network using parse trees for extraction of protein-protein interaction
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Methodological Review: Biomedical text mining and its applications in cancer research
Journal of Biomedical Informatics
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We address the problem of multi-way relation classification, applied to identification of the interactions between proteins in bioscience text. A major impediment to such work is the acquisition of appropriately labeled training data; for our experiments we have identified a database that serves as a proxy for training data. We use two graphical models and a neural net for the classification of the interactions, achieving an accuracy of 64% for a 10-way distinction between relation types. We also provide evidence that the exploitation of the sentences surrounding a citation to a paper can yield higher accuracy than other sentences.