This paper updates and expands upon the componential analysis provided by Thompson and Thompson 1071 of the Klallam language's set of demonstrative determiners.

This paper describes on-going efforts to annotate a corpus of almost 16,000 answer pairs with an estimated 69,000 fine-grained entailment relationships.

This paper discusses a research study on language barriers and their effect on healthcare among Vietnamese immigrants in Tarrant County.

This paper discusses a research study on the benefits of frequency-modulated (FM) systems for adults and children using cochlear implants.

This paper discusses a research study on Machiavelli's 'The Prince' as a satire. The author argues that 'The Prince' challenges all of Machiavelli's other works and what we know of his life, and that this inconsistency and the knowledge of Machiavelli's opinions give evidence that perhaps 'The Prince' is a satire.

This paper discusses a research study on independence and maneuverability related to regular exercise among non-institutionalized elderly adults.

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 is about research on decision-making strategies in design meetings.

Paper discussing a two-dimensional approach for investigating issues of semantic interoperability in digital libraries.

This paper discusses collaborations, best practices, and collection development for the preservation of born-digital and digitized materials.

This paper discusses investigations in unsupervised back-of-the-book indexing.

In this paper, the authors summarize the main theories of humor that emerged from philosophical and modern psychological research, and survey the past and present developments in the fields of theoretical and computational linguistics.

This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, the authors show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.

This paper describes an unsupervised graph-based method for word sense disambiguation, and presents comparative evaluations using several measures of word semantic similarity and several algorithms for graph centrality. The results indicate that the right combination of similarity metrics and graph centrality algorithms can lead to a performance competing with the state-of-the-art in unsupervised word sense disambiguation, as measured on standard data sets.

This paper describes a new approach for estimating term weights in a document, and shows how the new weighting scheme can be used to improve the accuracy of a text classifier.

This paper discusses data-driven gender modeling for improved user interfaces.

This paper discusses linking educational materials to encyclopedic knowledge.

This paper discusses explorations in automatic book summarization.

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 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.

This paper discusses combining SenseLearner with SuperSence and other coarse semantic features.

The "Affective Text" task focuses on the classification of emotions and valence (positive/negative polarity) in news headlines, and is meant as an exploration of the connection between emotions and lexical semantics. In this paper, the authors describe the data set used in the evaluation and the results obtained by the participating systems.

This paper describes the University of North Texas SubFinder system. The system is able to provide the most likely set of substitutes for a word in a given context, by combining several techniques and knowledge sources. SubFinder has successfully participated in the best and out of ten (oot) tracks in the SEMEVAL lexical substitution task, consistently ranking in the first or second place.

This paper discusses learning multilingual subjective language via cross-lingual projections.