Automatic Question Categorization: a New Approach for Text Elaboration
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| Format: | Artículo científico |
| Langue: | en |
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Sociedad Española para el Procesamiento del Lenguaje Natural
2011
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| _version_ | 1876434091207819264 |
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| author | Marcelo Adriano Amancio |
| author_facet | Marcelo Adriano Amancio |
| contents | Automatic Question Categorization: a New Approach for Text Elaboration Marcelo Adriano Amancio Magali Sanches Duran Sandra Maria Aluisio Computación Wh question labels Text Elaboration Semantic Role Labeling Text adaptation is a normal activity of teachers to facilitate reading comprehension of specific contents; the general approaches for it are Text Simplification and Text Elaboration (TE). TE aims at clarifying, explaining information and making connections explicit in texts. In this paper, we present a new approach for TE: an automatic question categorization system which assigns wh-question labels to verbal arguments in a sentence. For example, in “Mary danced yesterday.” “Who?” is the label linking the verb “danced” to the argument “Mary” and “When?” links “danced” to the argument “yesterday”. This annotation is similar to semantic ro- le labeling, approached successfully via statistical language processing techniques. Specifically, we present experiments to build the system using a fine-grained question set in Portuguese lan- guage and address two key research questions: (1) Which machine-learning algorithm presents the best results? (2) Which problems this task presents and how to overcome them? 2011 artículo científico 1135-5948 https://www.redalyc.org/articulo.oa?id=515751746005 en http://www.redalyc.org/revista.oa?id=5157 Procesamiento del Lenguaje Natural application/pdf Sociedad Española para el Procesamiento del Lenguaje Natural Procesamiento del Lenguaje Natural (España) Num.46 |
| format | Artículo científico |
| id | redalyc_515751746005 |
| institution | Redalyc |
| language | en |
| publishDate | 2011 |
| publisher | Sociedad Española para el Procesamiento del Lenguaje Natural |
| spellingShingle | Automatic Question Categorization: a New Approach for Text Elaboration Marcelo Adriano Amancio Computación Wh question labels Text Elaboration Semantic Role Labeling Automatic Question Categorization: a New Approach for Text Elaboration Marcelo Adriano Amancio Magali Sanches Duran Sandra Maria Aluisio Computación Wh question labels Text Elaboration Semantic Role Labeling Text adaptation is a normal activity of teachers to facilitate reading comprehension of specific contents; the general approaches for it are Text Simplification and Text Elaboration (TE). TE aims at clarifying, explaining information and making connections explicit in texts. In this paper, we present a new approach for TE: an automatic question categorization system which assigns wh-question labels to verbal arguments in a sentence. For example, in “Mary danced yesterday.” “Who?” is the label linking the verb “danced” to the argument “Mary” and “When?” links “danced” to the argument “yesterday”. This annotation is similar to semantic ro- le labeling, approached successfully via statistical language processing techniques. Specifically, we present experiments to build the system using a fine-grained question set in Portuguese lan- guage and address two key research questions: (1) Which machine-learning algorithm presents the best results? (2) Which problems this task presents and how to overcome them? 2011 artículo científico 1135-5948 https://www.redalyc.org/articulo.oa?id=515751746005 en http://www.redalyc.org/revista.oa?id=5157 Procesamiento del Lenguaje Natural application/pdf Sociedad Española para el Procesamiento del Lenguaje Natural Procesamiento del Lenguaje Natural (España) Num.46 |
| title | Automatic Question Categorization: a New Approach for Text Elaboration |
| topic | Computación Wh question labels Text Elaboration Semantic Role Labeling |
| url | https://www.redalyc.org/articulo.oa?id=515751746005 |