1. Harabagiu, S., & Hickl, A. (2006, July). “Methods for using textual entailment in open-domain question answering”. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics. Association for Computational Linguistics: 905-912.
2. Sacaleanu, B., Orasan, C., Spurk, C., Ou, S., Ferrandez, O., Kouylekov, M., & Negri, M. (2008, August). “Entailment-based question answering for structured data”. In 22nd International Conference on on Computational Linguistics: Demonstration Papers. Association for Computational Linguistics: 173-176.
3. Dhruva, N., Ferschke, O., & Gurevych, I. (2014). “Solving Open-Domain Multiple Choice Questions with Textual Entailment and Text Similarity Measures”. In CLEF (Working Notes):1375–1385.
4. Satisfying information needs with multi-document summaries;Harabagiu;Information Processing & Management,2007
5. Summarization by logic segmentation and text entailment;Tatar;Advances in Natural Language Processing and Applications,2008