This paper discusses word sense and subjectivity.

This paper discusses automatic generating of back-of-the-book indexes.

This paper investigates the problem of automatic humor recognition, and provides an in-depth analysis of two of the most frequently observed features of humorous text: human-centeredness and negative polarity. Through experiments performed on two collections of humorous texts, the authors show that these properties of verbal humor are consisted across different data sets.

In this paper, the authors introduce TextRank, a graph-based ranking model for text processing, and show how this model can be successfully used in natural language applications.

This paper discusses multilingual subjectivity analysis using machine translation.

This paper investigates the application of co-training and self-training to word sense disambiguation. Optimal and empirical parameter selection methods for co-training and self-training are investigated, with various degrees of error reduction. A new method that combines co-training with majority voting is introduced, with the effect of smoothing the bootstrapping learning curves, and improving the average performance.

In this paper, the authors evaluate the extent to which human-written book summaries can be obtained through cut-and-paste operations from the original book. The authors analyze the effect of the parameters involved in the decomposition algorithm, and highlight the distinctions in coverage obtained for different summary types.

This paper discusses linguistic ethnography.

This article discusses the role of non-ambiguous words in natural language disambiguation.

This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses.

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

This paper discusses cross-lingual semantic relatedness using encyclopedic knowledge.

This presentation discusses research in sensor network routing, WiFi network optimization, 3G cellular call admission, and the outreach and resources needed.

This article discusses corpus-based and knowledge-based measures of text semantic similarity.

This paper discusses how to locate emotions.

This presentation introduces code division multiple access (CDMA) networks, average and actual interference models, optimized capacity, and the 2D Gaussian user model.

This article discusses classifier stacking and voting for text filtering.

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

This article discusses performance analysis of a part of speech tagging task.

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

In this paper, the authors explore unsupervised techniques for the task of automatic short answer grading.

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 discusses explorations in the automatic recognition of deceptive language.

This presentation discusses Robocamp, a special summer camp that was created by the University of North Texas (UNT) Computer Science and Engineering department. Robocamp successfully promotes engineering among high school women.