Automatic generation of paragraph templates using a Textual Energy approach:
In this paper, we present the results of preliminary experiments using the Textual Energy measure to be used in Automatic Text Generation tasks (ATG). Textual Energy calculates the similarity among the sentences of a document, using intuitive ideas coming from Mechanical statistical like the associa...
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| Format: | Article |
| Language: | English |
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LibraryPress@UF
2023-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
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| Online Access: | https://journals.flvc.org/FLAIRS/article/view/133059 |
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| author | Luis Gil Moreno Jimenez Juan-Manuel Torres-Moreno |
| author_facet | Luis Gil Moreno Jimenez Juan-Manuel Torres-Moreno |
| author_sort | Luis Gil Moreno Jimenez |
| collection | DOAJ |
| description | In this paper, we present the results of preliminary experiments using the Textual Energy measure to be used in Automatic Text Generation tasks (ATG). Textual Energy calculates the similarity among the sentences of a document, using intuitive ideas coming from Mechanical statistical like the associative memories and the energy of a system. Using this approach we intend to generate a set of selected sentences having a semantic and structural coherence.
In our experiment, the number of selected sentences was manually determined. In particular, the experiments were performed using sets of 4 sentences. Then, the selected sentences can be employed for paragraph generation using Canned Text-like techniques. We have performed an important number of experiments, and we found interesting results that we present in this paper. These results allow us to conclude that it is possible to generate a set of sentences, as paragraphs-like, through methods, avoiding as much as possible undesirable phenomena, such hallucination, which have been recently found in ATG models based on Deep learning Neural Networks. |
| format | Article |
| id | doaj-art-95b48e0580de478d842c7be22b4f0371 |
| institution | DOAJ |
| issn | 2334-0754 2334-0762 |
| language | English |
| publishDate | 2023-05-01 |
| publisher | LibraryPress@UF |
| record_format | Article |
| series | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| spelling | doaj-art-95b48e0580de478d842c7be22b4f03712025-08-20T03:05:35ZengLibraryPress@UFProceedings of the International Florida Artificial Intelligence Research Society Conference2334-07542334-07622023-05-013610.32473/flairs.36.13305969327Automatic generation of paragraph templates using a Textual Energy approach:Luis Gil Moreno Jimenez0https://orcid.org/0000-0001-7753-7349Juan-Manuel Torres-Moreno1https://orcid.org/0000-0002-4392-1825AVIGNON UNIVERSITÉ/LIAAVIGNON UNIVERSITÉ/LIAIn this paper, we present the results of preliminary experiments using the Textual Energy measure to be used in Automatic Text Generation tasks (ATG). Textual Energy calculates the similarity among the sentences of a document, using intuitive ideas coming from Mechanical statistical like the associative memories and the energy of a system. Using this approach we intend to generate a set of selected sentences having a semantic and structural coherence. In our experiment, the number of selected sentences was manually determined. In particular, the experiments were performed using sets of 4 sentences. Then, the selected sentences can be employed for paragraph generation using Canned Text-like techniques. We have performed an important number of experiments, and we found interesting results that we present in this paper. These results allow us to conclude that it is possible to generate a set of sentences, as paragraphs-like, through methods, avoiding as much as possible undesirable phenomena, such hallucination, which have been recently found in ATG models based on Deep learning Neural Networks.https://journals.flvc.org/FLAIRS/article/view/133059textual energyautomatic text generationliterary sentencessemantic analysisparsing analysis |
| spellingShingle | Luis Gil Moreno Jimenez Juan-Manuel Torres-Moreno Automatic generation of paragraph templates using a Textual Energy approach: Proceedings of the International Florida Artificial Intelligence Research Society Conference textual energy automatic text generation literary sentences semantic analysis parsing analysis |
| title | Automatic generation of paragraph templates using a Textual Energy approach: |
| title_full | Automatic generation of paragraph templates using a Textual Energy approach: |
| title_fullStr | Automatic generation of paragraph templates using a Textual Energy approach: |
| title_full_unstemmed | Automatic generation of paragraph templates using a Textual Energy approach: |
| title_short | Automatic generation of paragraph templates using a Textual Energy approach: |
| title_sort | automatic generation of paragraph templates using a textual energy approach |
| topic | textual energy automatic text generation literary sentences semantic analysis parsing analysis |
| url | https://journals.flvc.org/FLAIRS/article/view/133059 |
| work_keys_str_mv | AT luisgilmorenojimenez automaticgenerationofparagraphtemplatesusingatextualenergyapproach AT juanmanueltorresmoreno automaticgenerationofparagraphtemplatesusingatextualenergyapproach |