Additional data, experimental results, software, or other information is available for the research publications listed below. Click on the Appendices link associated with the paper.
Paper: J. Chen, C. Xiong, and J. Callan. An empirical study of learning to rank for entity search (short paper). In Proceedings of the 39th International ACM SIGIR Conference on Research & Development in Information Retrieval. ACM. 2016.
Appendices
Paper: Z. Dai and J. Callan. Deeper text understanding for IR with contextual neural language modeling (short paper).
In Proceedings of the 42nd International ACM SIGIR Conference on Research & Development in Information Retrieval. ACM. 2019.
Appendices
Paper:
Z. Dai and J. Callan.
Context-aware term weighting for first-stage passage retrieval (short paper).
In Proceedings of the 43nd International ACM SIGIR Conference on Research
& Development in Information Retrieval.
ACM. 2020.
Appendices
Paper: Z. Dai, Z. Fan, H. R. Mohammad, and J. Callan.
Local matching networks for engineering diagram search.
In Proceedings of The Web Conference 2019. 2019.
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Paper: Z. Dai, Y. Kim and J. Callan. Learning to rank resources (short paper).
In Proceedings of the 40th International ACM SIGIR Conference on Research & Development in Information Retrieval. ACM. 2017.
Appendices
Paper: Z. Dai, C. Xiong, and J. Callan. Query-biased partitioning for selective search. In Proceedings of the 25th ACM Conference on Information and Knowledge Management (CIKM '16). ACM. 2016.
Appendices
Paper: Z. Dai, C. Xiong, J. Callan, and Z. Liu.
Convolutional neural networks for soft-matching n-grams in ad-hoc search.
In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, pp. 126-134. 2018.
Appendices
Paper:
Z. Fan, L. Gao, J. Callan.
CSurF: Sparse lexical retrieval through contextualized surface forms.
In Proceedings of the 2023 ACM SIGIR International Conference on the
Theory of Information Retrieval. 2023.
Appendices
Paper:
Y. Kim, J. Callan, J. S. Culpepper, and A. Moffat.
Efficient distributed selective search. Information Retrieval Journal,
pp. 1-32. Springer. 2016.
Appendices
Paper:
H. R. Mohammad, K. Xu, J. Callan and J. S. Culpepper.
Dynamic shard cutoff prediction for selective search.
In Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pp. 85-94. ACM. 2018.
Appendices
Paper: C. Xiong and J. Callan. EsdRank: Connecting query and documents through external semi-structured data. In Proceedings of the 24th ACM Conference on Information and Knowledge Management (CIKM'15), pp 951-960. ACM. 2015.
Appendices
Paper: C. Xiong and J. Callan. Query expansion with Freebase. In Proceedings of the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2015), pp 111-120. ACM. 2015.
Appendices
Paper: C. Xiong, Z. Liu, J. Callan and T.-Y. Liu.
Towards better text understanding and retrieval through kernel entity salience modeling. In Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pp. 575-584. ACM. 2018.
Appendices
Paper:
C. Xiong, Z. Dai, J. Callan, Z. Liu, and R. Power.
End-to-end neural ad-hoc ranking with kernel pooling.
In Proceedings of the 40th International ACM SIGIR Conference on Research & Development in Information Retrieval, pp. 55-64. ACM. 2017.
Appendices
Paper:
C.Xiong, R. Power, and J. Callan.
Explicit semantic ranking for academic search via knowledge graph embedding. In Proceedings of the 26th International Conference on World Wide Web (WWW 2017). ACM. 2017.
Appendices
Paper:
H. Yu, Z, Dai, and J. Callan.
PGT: Pseudo relevance feedback using a graph-based transformer.
In Advances in Information Retrieval – 43rd European Conference on IR Research.
Accepted.
Appendices
Paper:
S. Zhang, Z. Dai, K. Balog and J. Callan.
Summarizing and exploring tabular data in conversational search (short paper).
In Proceedings of the 43nd International ACM SIGIR Conference on
Research & Development in Information Retrieval.
ACM. 2020.
Appendices