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Attracting and Retaining Women in Computer Science and Engineering: Evaluating the Results
This paper discusses efforts to attract and retain students in computer science and engineering fields.
Automatic generation of a coarse grained WordNet
This paper discusses automatic generation of a coarse grained WordNet.
Classification Errors in a Domain-Independent Assessment System
This paper presents a domain-independent technique for assessing learners' constructed responses.
A Corpus of Fine-Grained Entailment Relations
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.
Explorations in Automatic Book Summarization
This paper discusses explorations in automatic book summarization.
eXtended WordNet: progress report
This paper discusses eXtended WordNet.
Extracting a Representation from Text for Semantic Analysis
This paper presents a novel fine-grained semantic representation of text and an approach to constructing it.
Learning Multilingual Subjective Language via Cross-Lingual Projections
This paper discusses learning multilingual subjective language via cross-lingual projections.
Linguistically Motivated Features for Enhanced Back-of-the-Book Indexing
This paper discusses linguistically motivated features for enhanced back-of-the-book indexing.
Measuring the Semantic Similarity of Texts
This paper discusses measuring the semantic similarity of texts.
Modelos de Simulación a Diferentes Escalas de la Dinámica del Bosque Tropical. Reserva Forestal Imataca. Sector Central.
Thesis submitted to the National Experimental University of Guayana as partial requirement for the degree of Master of Science in Environmental Science. This thesis discusses simulation models at different scales of tropical forest dynamics.
Open Mind Word Expert: Creating Large Data Collections with Web Users' Help
This article discusses Open Mind Word Expert (OMWE), a system that aims to tap people's ability to disambiguate words and to give computers the benefit of people's knowledge.
SemEval-2007 Task 14: Affective Text
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.
SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text
This paper describes SenseLearner, a minimally supervised word sense disambiguation system that attempts to disambiguate all content words in a text using WordNet senses.
Tantra: A fast PRNG algorithm and its implementation
This paper discusses Tantra. Tantra is a novel Pseudorandom number generator (PRNG) design that provides a long sequence high quality pseudorandom numbers at very high rate both in software and hardware implementations.
UNT: SubFinder: Combining Knowledge Sources for Automatic Lexical Substitution
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.
UNT-Yahoo: SuperSenseLearner: Combining SenseLearner with SuperSense and other Coarse Semantic Features
This paper discusses combining SenseLearner with SuperSence and other coarse semantic features.
Word Alignment for Languages with Scarce Resources
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.
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