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The advent of transformer-based models such as BERT has led to the rise of neural ranking models.
Robertson, S.E., Walker, S., Jones, S., et al.: Okapi at TREC-3. In: Overview of the Third Text REtrieval Conference (TREC-3) (1995)
1995
Earlier work this paper cites.
Allan, J., Callan, J., Croft, W.B., Ballesteros, L., Byrd, D., Swan, R., Xu, J.: INQUERY does battle with TREC-6. NIST Special Publication 500-240 pp. 169–206 (1998)
1998
Earlier work this paper cites.
Ponte, J.M., Croft, W.B.: A language modeling approach to information retrieval. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 275–281 (1998)
1998
Earlier work this paper cites.
Peters, C., Braschler, M.: European research letter: Cross-language system evaluation: The CLEF campaigns. Journal of the American Society for Information Science and Technology 52
2001
Earlier work this paper cites.
McNamee, P., Mayfield, J.: Comparing cross-language query expansion techniques by degrading translation resources. In: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 159–166 (2002)
2002
Earlier work this paper cites.
Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: BLEU: a method for automatic evaluation of machine translation. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics. pp. 311–318. Association for Computational Linguistics, Philadelphia, Pennsylvania, USA (Jul 2002)
2002
Earlier work this paper cites.
Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C., Johnson, D.: Terrier information retrieval platform. In: European Conference on Information Retrieval. pp. 517–519. Springer (2005)
2005
Earlier work this paper cites.
Guo, J., Fan, Y., Ai, Q., Croft, W.B.: A deep relevance matching model for ad-hoc retrieval. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. pp. 55–64 (2016)
2016
Earlier work this paper cites.
Hui, K., Yates, A., Berberich, K., de Melo, G.: PACRR: A position-aware neural IR model for relevance matching. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. pp. 1049–1058. Association for Computational Linguistics, Copenhagen, Denmark (Sep 2017)
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
Yang, P., Fang, H., Lin, J.: Anserini: Enabling the use of Lucene for information retrieval research. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 1253–1256. SIGIR ’17, Association for Computing Machinery, New York, NY, USA (Aug 2017)
2017
Earlier work this paper cites.
2018
Earlier work this paper cites.
Dai, Z., Xiong, C., Callan, J., Liu, Z.: Convolutional neural networks for soft-matching n-grams in ad-hoc search. In: Proceedings of the 11th ACM International Conference on Web Search and Data Mining. pp. 126–134 (2018)
2018
Cited alongside, same era.
Peters, M.E., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., Zettlemoyer, L.: Deep contextualized word representations. In: Proceedings of NAACL-HLT. pp. 2227–2237 (2018)
2018
Cited alongside, same era.
Post, M.: A call for clarity in reporting BLEU scores. In: Proceedings of the Third Conference on Machine Translation: Research Papers. pp. 186–191. Association for Computational Linguistics, Brussels, Belgium (Oct 2018)
2018
Cited alongside, same era.
Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). pp. 4171–4186. Association for Computational Linguistics, Minneapolis, Minnesota (Jun 2019)
2020
Later among the works it cites.
Khattab, O., Zaharia, M.: ColBERT: Efficient and effective passage search via contextualized late interaction over BERT. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 39–48. Association for Computing Machinery, New York, NY, USA (Jul 2020)
2020
Later among the works it cites.
MacAvaney, S., Soldaini, L., Goharian, N.: Teaching a new dog old tricks: Resurrecting multilingual retrieval using zero-shot learning. Advances in Information Retrieval p. 246 (2020)
2020
Later among the works it cites.
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2019
Cited alongside, same era.
2019
Cited alongside, same era.
MacAvaney, S., Yates, A., Cohan, A., Goharian, N.: Cedr: Contextualized embeddings for document ranking. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 1101–1104 (2019)
2019
Cited alongside, same era.
2019
Cited alongside, same era.
2019
Cited alongside, same era.
2019
Cited alongside, same era.
Zhao, L., Zbib, R., Jiang, Z., Karakos, D., Huang, Z.: Weakly supervised attentional model for low resource ad-hoc cross-lingual information retrieval. In: Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019). pp. 259–264. Association for Computational Linguistics, Hong Kong, China (Nov 2019)
2019
Cited alongside, same era.
Bonab, H., Sarwar, S.M., Allan, J.: Training effective neural CLIR by bridging the translation gap. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 9–18. Association for Computing Machinery, New York, NY, USA (Jul 2020)
2020
Cited alongside, same era.
Conneau, A., Khandelwal, K., Goyal, N., Chaudhary, V., Wenzek, G., Guzmán, F., Grave, E., Ott, M., Zettlemoyer, L., Stoyanov, V.: Unsupervised cross-lingual representation learning at scale. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. pp. 8440–8451. Association for Computational Linguistics, Online (Jul 2020)
2020
Cited alongside, same era.
2020
Later among the works it cites.
Yu, P., Allan, J.: A study of neural matching models for cross-lingual ir. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. p. 1637–1640. Association for Computing Machinery, New York, NY, USA (2020)
2020
Later among the works it cites.
2021
Later among the works it cites.
Lawrie, D., Mayfield, J., Oard, D.W., Yang, E.: HC4: A new suite of test collections for ad hoc CLIR. In: Proceedings of the 44th European Conference on Information Retrieval (2021)
2021
Later among the works it cites.
Lin, J., Nogueira, R., Yates, A.: Pretrained transformers for text ranking: Bert and beyond. Synthesis Lectures on Human Language Technologies 14
2021
Later among the works it cites.
2021
Later among the works it cites.
2021
Later among the works it cites.
2021
Later among the works it cites.
Wicks, R., Post, M.: A unified approach to sentence segmentation of punctuated text in many languages. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). pp. 3995–4007. Association for Computational Linguistics, Online (Aug 2021)
2021
Later among the works it cites.