Corpus Linguistics for establishing the natural language content of Digital Library documents

Electronic negotiation is one of many applications that software agents can perform to facilitate electronic business. Negotiations between software agents and humans (hybrid negotiation), can make electronic business efficient and intelligent. It can save time, effort and other valueable resources by replacing the human in electronic business activities and many other domains. However, to enable hybrid negotiation, a software agent needs clear machine interpretable semantics to understand and generate natural language content. Although it is not simple to make natural language content understandable by software agents as a whole, it can be achieved in different domains--in this case electronic business. For this purpose, an example of hybrid negotiation is presented, in which a software agent and a human agent negotiate for a business contract. Problems involved in this negotiation process are partially resolved through ontologies (the main Semantic Web technology), NSS (negotiation support system) and hand written rules.

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An Open and Scalable Framework for Enriching Ontologies with Natural Language Content

Advances in Applied Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/11779568_106 ◽

2006 ◽

pp. 990-999 ◽

Cited By ~ 7

Author(s):

Maria Teresa Pazienza ◽

Armando Stellato

Keyword(s):

Natural Language ◽

Language Content

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Towards a Distributed Digital Library for Sign Language Content

Proceedings of the 15th ACM/IEEE-CE on Joint Conference on Digital Libraries - JCDL '15 ◽

10.1145/2756406.2756945 ◽

2015 ◽

Cited By ~ 4

Author(s):

Frank Shipman ◽

Ricardo Gutierrez-Osuna ◽

Tamra Shipman ◽

Caio Monteiro ◽

Virendra Karappa

Keyword(s):

Sign Language ◽

Digital Library ◽

Language Content

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MICE

International Journal of Corpus Linguistics ◽

10.1075/ijcl.9.1.03are ◽

2004 ◽

Vol 9 (1) ◽

pp. 53-68 ◽

Cited By ~ 6

Author(s):

Montserrat Arévalo Rodríguez ◽

Montserrat Civit Torruella ◽

Maria Antònia Martí

Keyword(s):

Information Retrieval ◽

Natural Language Processing ◽

Natural Language ◽

Information Extraction ◽

Language Processing ◽

Corpus Linguistics ◽

Proper Names ◽

Named Entity ◽

Different Types

In the field of corpus linguistics, Named Entity treatment includes the recognition and classification of different types of discursive elements like proper names, date, time, etc. These discursive elements play an important role in different Natural Language Processing applications and techniques such as Information Retrieval, Information Extraction, translations memories, document routers, etc.

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