Evaluating Coherence of Essays using Sentence-similarity Networks
| Autor: | Kaja Zupanc, Miloš Savić, Zoran Bosnić, Mirjana Ivanović |
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| Rok vydání: | 2017 |
| Předmět: |
Vocabulary
Syntax (programming languages) business.industry Computer science media_common.quotation_subject 02 engineering and technology Coherence (statistics) computer.software_genre Semantics 01 natural sciences 010305 fluids & plasmas Focus (linguistics) Consistency (database systems) 0103 physical sciences Similarity (psychology) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business Representation (mathematics) computer Natural language processing media_common |
| Zdroj: | CompSysTech |
| DOI: | 10.1145/3134302.3134322 |
| Popis: | The main weakness of automated essay evaluation systems is their predominant focus on vocabulary and text syntax, while consideration of text semantics is often neglected. In this work, we propose several new attributes for measuring coherence and consistency of essays that are based on a network representation of essays. In this representation, nodes represent sentences and links reflect similarity between them. We evaluated the proposed attributes on a benchmark dataset showing that their integration into a state-of-the-art system for essay evaluation indicates a potential for improvement of predictive performance. |
| Databáze: | OpenAIRE |
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