نتایج جستجو برای: annotated materials
تعداد نتایج: 460736 فیلتر نتایج به سال:
Annotated corpora are a fundamental resource for research and development in the field of natural language processing (NLP). Although unannotated corpora (for example, Gigaword, Wikipedia, etc.) are often used to build language models, annotations for linguistic phenomena provide a richer set of features and hence, potentially better models in the long run. It is widely accepted that a first st...
Opinion retrieval aims to tell if a document is positive, neutral or negative on a given topic. Opinion extraction further identifies the supportive and the non-supportive evidence of a document. To evaluate the performance of technologies for opinionated tasks, a suitable corpus is necessary. This paper defines the annotations for opinionated materials. Heterogeneous experimental materials are...
Chloroflexus aurantiacus J-10-f1 is an anoxygenic, photosynthetic, facultative autotrophic gram negative bacterium found from hot spring at a temperature range of 50-60°C. It can sustain itself in dark only if oxygen is available thereby exhibiting a dark orange color, however display a dark green color when grown in sunlight. Genome of the organism contains total of 3853 proteins out ...
abstract: proverbs are of the language materials which of the food of any language depends on the quality and quantity of these same materials. in the present research, the researcher tried to present the ramsarian proverbs according to four variables of color, fruit, plantsand animals that selected from the book of the members of each of these four variables, put them into the spss system fo...
A Comparison of the Events and Relations Across ACE, ERE, TAC-KBP, and FrameNet Annotation Standards
The resurgence of effort within computational semantics has led to increased interest in various types of relation extraction and semantic parsing. While various manually annotated resources exist for enabling this work, these materials have been developed with different standards and goals in mind. In an effort to develop better general understanding across these resources, we provide a summar...
MOTIVATION Natural language processing (NLP) methods are regarded as being useful to raise the potential of text mining from biological literature. The lack of an extensively annotated corpus of this literature, however, causes a major bottleneck for applying NLP techniques. GENIA corpus is being developed to provide reference materials to let NLP techniques work for bio-textmining. RESULTS G...
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