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Explorations in Automatic Book Summarization
This paper discusses explorations in automatic book summarization.
Date:
June 2007
Creator:
Ceylan, Hakan & Mihalcea, Rada, 1974-
System:
The UNT Digital Library
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.
Date:
June 2007
Creator:
Hassan, Samer; Csomai, Andras; Banea, Carmen; Sinha, Ravi & Mihalcea, Rada, 1974-
System:
The UNT Digital Library
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.
Date:
June 2007
Creator:
Keathly, David & Akl, Robert G.
System:
The UNT Digital Library
Learning Multilingual Subjective Language via Cross-Lingual Projections
This paper discusses learning multilingual subjective language via cross-lingual projections.
Date:
June 2007
Creator:
Mihalcea, Rada, 1974-; Banea, Carmen & Wiebe, Janyce M.
System:
The UNT Digital Library
UNT-Yahoo: SuperSenseLearner: Combining SenseLearner with SuperSense and other Coarse Semantic Features
This paper discusses combining SenseLearner with SuperSence and other coarse semantic features.
Date:
June 2007
Creator:
Mihalcea, Rada, 1974-; Csomai, Andras & Ciaramita, Massimiliano
System:
The UNT Digital Library
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.
Date:
June 2007
Creator:
Nielsen, Rodney D. & Ward, Wayne
System:
The UNT Digital Library
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.
Date:
June 2007
Creator:
Strapparava, Carlo, 1962- & Mihalcea, Rada, 1974-
System:
The UNT Digital Library