Investigating Query Expansion and Coreference Resolution in Question Answering on BERT

Author:

Bhattacharjee Santanu,Haque RejwanulORCID,de Buy Wenniger Gideon Maillette,Way AndyORCID

Publisher

Springer International Publishing

Reference27 articles.

1. Cahill, P., Du, J., Way, A., Carson-Berndsen, J.: Using same-language machine translation to create alternative target sequences for text-to-speech synthesis. In: Proceedings of Interspeech 2009, the 10th Annual Conference of the International Speech Communication Association, Brighton, UK, pp. 1307–1310 (2009)

2. Cao, G., Nie, J.-Y., Gao, J., Robertson, S.: Selecting good expansion terms for pseudo-relevance feedback. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Singapore, pp. 243–250 (2008)

3. Carpineto, C., Romano, G.: A survey of automatic query expansion in information retrieval. ACM Comput. Surv. (CSUR) 44(1), 1 (2012)

4. Chaumond, J.: Fast coreference resolution in spaCy with neural networks. https://github.com/huggingface/neuralcoref . Accessed 8 Oct 2019

5. Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. CoRR, abs/1810.04805 (2018)

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