This presentation gives an overview of code division multiple access (CDMA), traffic and mobility models, subscriber optimization formulation, and numerical results.

This paper discusses subscriber maximization in CDMA cellular networks.

This paper discusses a logic programming framework for semantic interpretation with WordNet and PageRank.

This presentation discusses wireless networks, access point selections, traffic balancing, multi-cell CDMA, user distribution modeling, and call admission control.

This paper discusses the main lines of research in deriving efficient Word Sense Disambiguation.

This paper describes the authors' work in integrating three different lexical resources: FrameNet, VerbNet, and WordNet, into a unified, richer knowledge-base, to the end of enabling more robust semantic parsing.

This article discusses the effects of interference on capacity in multi-cell CDMA networks.

Article on a mobility-based CAC algorithm for arbitrary call-arrival rates in CDMA cellular systems.

In this paper, the authors introduce PicNet, a Web-based system for augmenting semantic resources with illustrative images using volunteer contributions over the Web.

This article discusses semantic document engineering with WordNet and PageRank.

In this paper, the authors investigate the performance of a multi-cell CDMA network by determining the maximum throughput that the network can archive for a given grade-of-service requirement, quality-of-service requirement, network topology and call arrival rate profile.

This presentation discusses WiFi access point selection and traffic balancing, multi-cell wideband code division multiple access (WCDMA) with multiple classes, user modeling using 2D Gaussian distribution, and intra-cell and inter-cell interference and capacity.

This paper discusses multi-document synchronization with iterative graph-based algorithms.

This paper discusses measuring the semantic similarity of texts.

This paper describes SenseLearner, a minimally supervised word sense disambiguation system that attempts to disambiguate all content words in a text using WordNet senses.

This paper presents the task definition, resources, participating systems, and comparative results for the shared task on word alignment which was organized as part of the Association for Computational Linguistics (ACL) 2005 Workshop on Building and Using Parallel Texts. The shared task included English-Inuktitut, Romanian-English, and English-Hindi sub-tasks, and drew the participation of ten teams from around the world with a total of 50 systems.

This paper discusses approximating user distributions in WCDMA networks using 2-D Gaussian.

This paper discusses automatic recognition of humor.

This paper discusses language independent extractive summarization.

This paper discusses optimal access point selection and the traffic allocation in IEEE 802.11 networks.

This paper discusses non-preemptive, real-time scheduling.

In this paper, the authors present a knowledge-based method for measuring the semantic-similarity of texts. Through experiments performed on two different applications: (1) paraphrase and entailment identification, and (2) word sense similarity, the authors show that this method outperforms the traditional text similarity metrics based on lexical matching.

This article discusses using the essence of texts to improve document classification.

Article discussing parallel texts and natural language processing.