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  Partner: UNT College of Engineering
 Resource Type: Article
 Collection: UNT Scholarly Works
Improving the search on the Internet by using WordNet and lexical operators

Improving the search on the Internet by using WordNet and lexical operators

Date: July 21, 1999
Creator: Moldovan, Dan I. & Mihalcea, Rada, 1974-
Description: This article discusses improving the search on the internet by using WordNet and lexical operators.
Contributing Partner: UNT College of Engineering
Document Indexing using Named Entities

Document Indexing using Named Entities

Date: January 2001
Creator: Mihalcea, Rada, 1974- & Moldovan, Dan I.
Description: This article discusses document indexing using named entities.
Contributing Partner: UNT College of Engineering
Multicell CDMA Network Design

Multicell CDMA Network Design

Date: May 2001
Creator: Akl, Robert G.; Hegde, Manju V.; Naraghi-Pour, Mort & Min, Paul S.
Description: This article discusses multicell CDMA network design.
Contributing Partner: UNT College of Engineering
Agent-based Distance Vector Routing: A Resource Efficient and Scalable approach to Routing in Large Communication Networks

Agent-based Distance Vector Routing: A Resource Efficient and Scalable approach to Routing in Large Communication Networks

Date: March 25, 2002
Creator: Amin, Kaizar A. & Mikler, Armin R.
Description: Article discussing a resource efficient and scalable approach to routing in large communication networks.
Contributing Partner: UNT College of Engineering
Open Mind Word Expert: Creating Large Data Collections with Web Users' Help

Open Mind Word Expert: Creating Large Data Collections with Web Users' Help

Date: June 2002
Creator: Chklovski, Timothy A. (Timothy Anatolievich), 1977- & Mihalcea, Rada, 1974-
Description: This article discusses Open Mind Word Expert (OMWE). The World Wide Web has both exacerbated the need and provided an opportunity for creating automatic tools for language processing. OMWE is a system that aims to tap people's ability to disambiguate words and to give computers the benefit of people's knowledge. Any Web user can visit the OMWE site and contribute some knowledge about the meanings of given words in given sentences. As a result, OMWE creates large sense-tagged corpora that can be used to build automatic WSD systems.
Contributing Partner: UNT College of Engineering
Word Sense Disambiguation with Pattern Learning and Automatic Feature Selection

Word Sense Disambiguation with Pattern Learning and Automatic Feature Selection

Date: December 2002
Creator: Mihalcea, Rada, 1974-
Description: This paper presents a novel approach for word sense disambiguation. The underlying algorithm has two main components: (1) pattern learning from available sense-tagged corpora (SemCor), from dictionary definitions (WordNet) and from a generated corpus (GenCor), and (2) instance based learning with automatic feature selection, when training data is available for a particular word. The ideas described in this paper were implemented in a system that achieved the best score during the SENSEVAL-2 evaluation exercise, for both English all words and English lexical sample tasks.
Contributing Partner: UNT College of Engineering
Effects of Interference on Capacity in Multi-Cell CDMA Networks

Effects of Interference on Capacity in Multi-Cell CDMA Networks

Date: March 2005
Creator: Akl, Robert G.; Parvez, Asad & Nguyen, Son
Description: This article discusses the effects of interference on capacity in multi-cell CDMA networks.
Contributing Partner: UNT College of Engineering
Mobility-Based CAC Algorithm for Arbitrary Call-Arrival Rates in CDMA Cellular Systems

Mobility-Based CAC Algorithm for Arbitrary Call-Arrival Rates in CDMA Cellular Systems

Date: March 2005
Creator: Akl, Robert G.; Hegde, Manju V. & Naraghi-Pour, Mort
Description: This paper discusses mobility-based CAC algorithm for arbitrary call-arrival rates in CDMA cellular systems.
Contributing Partner: UNT College of Engineering
Parallel Texts

Parallel Texts

Date: September 2005
Creator: Mihalcea, Rada, 1974- & Simard, Michel
Description: This article discusses parallel texts.
Contributing Partner: UNT College of Engineering
Technologies That Make You Smile: Adding Humor to Text-Based Applications

Technologies That Make You Smile: Adding Humor to Text-Based Applications

Date: 2006
Creator: Mihalcea, Rada, 1974- & Strapparava, Carlo, 1962-
Description: In this article, the authors explore computational approaches' applicability to the recognition and use of verbally expressed humor. Particularly, the authors focus on three important research questions related to this problem: Can we automatically gather large collections of humorous texts? Can we automatically recognize humor in text? And can we automatically insert humorous add-ons into existing applications?
Contributing Partner: UNT College of Engineering
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