A brief survey of text mining: Classification, clustering and extraction techniques
The amount of text that is generated every day is increasing dramatically. This tremendous
volume of mostly unstructured text cannot be simply processed and perceived by computers …
volume of mostly unstructured text cannot be simply processed and perceived by computers …
Information retrieval and text mining technologies for chemistry
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
[BOOK][B] Handbook of natural language processing
N Indurkhya, FJ Damerau - 2010 - taylorfrancis.com
The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …
and techniques for implementing natural language processing in computer systems. Along …
[HTML][HTML] Bidirectional RNN for medical event detection in electronic health records
Sequence labeling for extraction of medical events and their attributes from unstructured text
in Electronic Health Record (EHR) notes is a key step towards semantic understanding of …
in Electronic Health Record (EHR) notes is a key step towards semantic understanding of …
[PDF][PDF] Biomedical named entity recognition using conditional random fields and rich feature sets
B Settles - Proceedings of the international joint workshop on …, 2004 - aclanthology.org
As the wealth of biomedical knowledge in the form of literature increases, there is a rising
need for effective natural language processing tools to assist in organizing, curating, and …
need for effective natural language processing tools to assist in organizing, curating, and …
[BOOK][B] Representation learning for natural language processing
This book provides an overview of the recent advances in representation learning theory,
algorithms, and applications for natural language processing (NLP), ranging from word …
algorithms, and applications for natural language processing (NLP), ranging from word …
Literature mining for the biologist: from information retrieval to biological discovery
For the average biologist, hands-on literature mining currently means a keyword search in
PubMed. However, methods for extracting biomedical facts from the scientific literature have …
PubMed. However, methods for extracting biomedical facts from the scientific literature have …
[BOOK][B] Ontology learning from text: methods, evaluation and applications
This volume brings together ontology learning, knowledge acquisition and other related
topics. It presents current research in ontology learning, addressing three perspectives. The …
topics. It presents current research in ontology learning, addressing three perspectives. The …
Comparative experiments on learning information extractors for proteins and their interactions
OBJECTIVE:: Automatically extracting information from biomedical text holds the promise of
easily consolidating large amounts of biological knowledge in computer-accessible form …
easily consolidating large amounts of biological knowledge in computer-accessible form …
GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text
Motivation Best performing named entity recognition (NER) methods for biomedical literature
are based on hand-crafted features or task-specific rules, which are costly to produce and …
are based on hand-crafted features or task-specific rules, which are costly to produce and …