Dependency Structure for News Document Summarization

Carbonell, J.G., Goldstein, J.: The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 1998). pp. 335–336. Melbourne, Australia (1998)

1998

Earlier work this paper cites.

Erkan, G., Radev, D.R.: LexRank: Graph-based Lexical Centrality as Salience in Text Summarization. Journal of Artificial Intelligence Research 22

2004

Earlier work this paper cites.

Lin, C.Y.: Rouge: A Package for Automatic Evaluation of Summaries. In: Text Summarization Branches Out. pp. 74–81 (2004)

2004

Earlier work this paper cites.

Mihalcea, R., Tarau, P.: TextRank: Bringing Order into Text. In: Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing (EMNLP 2004). pp. 404–411. Barcelona, Spain (2004)

2004

Earlier work this paper cites.

Leite, D.S., Rino, L.H., Pardo, T.A., Nunes, M.d.G.V.: Extractive Automatic Summarization: Does more linguistic knowledge make a difference? In: Proceedings of the Second Workshop on TextGraphs: Graph-based Algorithms for Natural Language Processing. pp. 17–24 (2007)

2007

Earlier work this paper cites.

Bahdanau, D., Cho, K., Bengio, Y.: Neural Machine Translation by Jointly Learning to Align and Translate. In: Proceedings of the 3rd International Conference on Learning Representations (ICLR 2015). San Diego, USA (2015)

2015

Earlier work this paper cites.

Takase, S., Suzuki, J., Okazaki, N., Hirao, T., Nagata, M.: Neural Headline Generation on Abstract Meaning Representation. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP 2016). pp. 1054–1059. Austin, USA (2016)

2016

Earlier work this paper cites.

Dozat, T., Manning, C.D.: Deep Biaffine Attention for Neural Dependency Parsing. In: Proceedings of the 5th International Conference on Learning Representations, (ICLR 2017). Toulon, France (2017)

2017

Cited alongside, same era.

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., Polosukhin, I.: Attention is All you Need. In: Proceedings of the Annual Conference on Neural Information Processing Systems 2017 (NIPS 2017). pp. 5998–6008. Long Beach, USA (2017)

2017

Cited alongside, same era.

Liu, P.J., Saleh, M., Pot, E., Goodrich, B., Sepassi, R., Kaiser, L., Shazeer, N.: Generating wikipedia by summarizing long sequences. In: 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings (2018)

2018

Cited alongside, same era.

Fabbri, A.R., Li, I., She, T., Li, S., Radev, D.R.: Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. In: Proceedings of the 57th Conference of the Association for Computational Linguistics (ACL 2019). pp. 1074–1084. Florence, Italy (2019)

Sun, K., Zhang, R., Mensah, S., Mao, Y., Liu, X.: Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. In: Proceedings of the 2019 Conference on Empirical Methods in NaturalLanguage Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019). pp. 5678–5687. Hong Kong, China (2019)

2019

Later among the works it cites.

Jin, H., Wang, T., Wan, X.: Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). pp. 6244–6254. Online (2020)

2020

Later among the works it cites.

Jin, H., Wang, T., Wan, X.: Semsum: Semantic dependency guided neural abstractive summarization. In: Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). pp. 8026–8033. New York, USA (2020)

2020

Later among the works it cites.