This paper analyzes the topic identification stage of single-document automatic text summarization across four different domains, consisting of newswire, literary, scientific and legal documents.

This paper discusses the addition of a new Department of Mechanical and Energy Engineering at the University of North Texas (UNT). Those involved see the curriculum for this new program as a new model of engineering education that parallels the innovations of UNTs current Learning to Learn (L2L) project-oriented concept course with the addition of innovative approaches for mechanical engineering and emphasis on energy engineering education.

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 article discusses semantic indexing using WordNet senses.

This paper discusses linguistically motivated features for enhanced back-of-the-book indexing.

This paper presents the task definition, resources, participating systems, and comparative results for the English lexical sample task, which was organized as part of the SENSEVAL-3 evaluation exercise.

This paper describes the English-Hindi Multilingual lexical sample task in SENSEVAL-3.

This paper introduces SenseLearner - a minimally supervised sense tagger that attempts to disambiguate all content words in a text using the sense from WordNet. SenseLearner participated in the SENSEVAL-3 English all words task, and achieved an average accuracy of 64.6%.

This paper discusses measuring the semantic similarity of texts.

This article describes the SemEval-2010 Cross-Lingual Lexical Substitution task.

This paper discusses integrating knowledge for subjectivity sense labeling.

This article discusses semantic document engineering with WordNet and PageRank.

This paper discusses an evaluation exercise for word alignment.

This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achieve state-of-the-art results on both these tasks.

This paper discusses building a sense tagged corpus with Open Mind Word Expert, an implemented active learning system for collecting word sense tagging from the general public over the Web.

This paper discusses automatic recognition of humor.

This paper discusses learning to identify educational materials.

This paper discusses word sense and subjectivity.

In this paper, the authors explore several computational models for incongruity resolution.

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 global versus local call admission control.

This paper discusses multilingual subjectivity analysis using machine translation.