Add to ORKGBackground: Good automatic information extraction tools offer hope for automatic processing of the exploding biomedical literature, and successful named entity recognition is a key component for such tools. Methods: We present a maximum-entropy based system incorporating a diverse set of features for identifying gene and protein names in biomedical abstracts. Results: This system was entered in the BioCreative comparative evaluation and achieved a precision of 0.83 and recall of 0.84 in the "open" evaluation and a precision of 0.78 and recall of 0.85 in the "closed" evaluation. Conclusion: Central contributions are rich use of features derived from the training data at multiple levels of granularity, a focus on correctly identifyin...
Automatically extracting information from biomedical text holds the promise of easily consolidating ...
Abstract Background The biological research literature is a major repository of knowledge. As the am...
Motivation. Natural language processing (NLP) techniques are used to extract information automatical...
Background: Good automatic information extraction tools offer hope for automatic processing of the ...
Background: Good automatic information extraction tools offer hope for automatic processing of the e...
Automatically extracting information from biomedical text holds the promise of easily consolidating ...
Automatically extracting information from biomedical text holds the promise of eas-ily consolidating...
Automatically extracting information from biomedical text holds the promise of easily consolidating ...
We present a maximum-entropy based system for identifying Named Entities (NEs) in biomedical abstr...
The task of recognising biomedical named entities in natural language documents called biomedical Na...
AbstractMotivation. Natural language processing (NLP) techniques are used to extract information aut...
Background: Identification of gene and protein names in biomedical text is a challenging task as the...
Information extraction aims to derive from free text signicant information related to a given query ...
Automatically extracting information from biomedical text holds the promise of easily consolidating ...
The aim of this paper was to develop a system for identification of biomedical entities, such as pro...
Automatically extracting information from biomedical text holds the promise of easily consolidating ...
Abstract Background The biological research literature is a major repository of knowledge. As the am...
Motivation. Natural language processing (NLP) techniques are used to extract information automatical...
Background: Good automatic information extraction tools offer hope for automatic processing of the ...
Background: Good automatic information extraction tools offer hope for automatic processing of the e...
Automatically extracting information from biomedical text holds the promise of easily consolidating ...
Automatically extracting information from biomedical text holds the promise of eas-ily consolidating...
Automatically extracting information from biomedical text holds the promise of easily consolidating ...
We present a maximum-entropy based system for identifying Named Entities (NEs) in biomedical abstr...
The task of recognising biomedical named entities in natural language documents called biomedical Na...
AbstractMotivation. Natural language processing (NLP) techniques are used to extract information aut...
Background: Identification of gene and protein names in biomedical text is a challenging task as the...
Information extraction aims to derive from free text signicant information related to a given query ...
Automatically extracting information from biomedical text holds the promise of easily consolidating ...
The aim of this paper was to develop a system for identification of biomedical entities, such as pro...
Automatically extracting information from biomedical text holds the promise of easily consolidating ...
Abstract Background The biological research literature is a major repository of knowledge. As the am...
Motivation. Natural language processing (NLP) techniques are used to extract information automatical...