| Autor: |
Varshney, Deeksha, Ekbal, Asif, Nagaraja, Ganesh Prasad, Tiwari, Mrigank, Gopinath, Abhijith Athreya Mysore, Bhattacharyya, Pushpak |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Natural Language Processing and Information Systems |
| Popis: |
Prior works on dialog generation focus on task-oriented setting and utilize multi-turn conversational utterance-response pairs. However, natural language generation (NLG) in the open-domain environment is more challenging. The conversations in an open-domain chit-chat model are mostly single-turn in nature. Current methods used for modeling single-turn conversations often fail to generate contextually relevant responses for a large dataset. In our work, we develop a transformer-based method for natural language generation (NLG) in an open-domain setting. Experiments on the utterance-response pairs show improvement over the baselines, both in terms of quantitative measures like BLEU and ROUGE and human evaluation metrics like fluency and adequacy. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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