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An Evaluation Exercise for Romanian Word Sense Disambiguation

Description: This paper discusses an evaluation exercise for Romanian word sense disambiguation.
Date: July 2004
Creator: Mihalcea, Rada, 1974-; Nastase, Vivi; Chklovski, Timothy A. (Timothy Anatolievich), 1977-; Tatar, Doina; Tufis, Dan & Hristea, Florentina T.
Partner: UNT College of Engineering
open access

Graph-based Ranking Algorithms for Sentence Extraction, Applied to Text Summarization

Description: Abstract: This paper presents an innovative unsupervised method for automatic sentence extraction using graph-based ranking algorithms. We evaluate the method in the context of a text summarization task, and show that the results obtained compare favorably with previously published results on established benchmarks.
Date: July 2004
Creator: Mihalcea, Rada, 1974-
Partner: UNT College of Engineering
open access

Mixing Weak Learners in Semantic Parsing

Description: This paper shows results from the application of a novel variant of Random Forests to the shallow semantic parsing problem.
Date: July 2004
Creator: Nielsen, Rodney D. & Pradhan, Sameer
Partner: UNT College of Engineering
open access

The SENSEVAL-3 English Lexical Sample Task

Description: 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.
Date: July 2004
Creator: Mihalcea, Rada, 1974-; Chklovski, Timothy A. (Timothy Anatolievich), 1977- & Kilgarriff, Adam
Partner: UNT College of Engineering
open access

The SENSEVAL-3 Multilingual English-Hindi Lexical Sample Task

Description: This paper describes the English-Hindi Multilingual lexical sample task in SENSEVAL-3.
Date: July 2004
Creator: Chklovski, Timothy A. (Timothy Anatolievich), 1977-; Mihalcea, Rada, 1974-; Pedersen, Ted & Purandare, Amruta
Partner: UNT College of Engineering
open access

TextRank: Bringing Order into Texts

Description: 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.
Date: July 2004
Creator: Mihalcea, Rada, 1974- & Tarau, Paul
Partner: UNT College of Engineering
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