Deeper Text Understanding for IR with Contextual Neural Language Modeling

Author:

Dai Zhuyun1,Callan Jamie1

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

Funder

Reliable and Generalizable Neural Search Engine Architectures

Publisher

ACM

Reference9 articles.

1. Zhuyun Dai Chenyan Xiong Jamie Callan and Zhiyuan Liu. 2018. Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search. In WSDM. 10.1145/3159652.3159659 Zhuyun Dai Chenyan Xiong Jamie Callan and Zhiyuan Liu. 2018. Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search. In WSDM. 10.1145/3159652.3159659

2. Mostafa Dehghani Hamed Zamani Aliaksei Severyn Jaap Kamps and W. Bruce Croft. 2017. Neural Ranking Models with Weak Supervision. In SIGIR. 10.1145/3077136.3080832 Mostafa Dehghani Hamed Zamani Aliaksei Severyn Jaap Kamps and W. Bruce Croft. 2017. Neural Ranking Models with Weak Supervision. In SIGIR. 10.1145/3077136.3080832

3. Jiafeng Guo Yixing Fan Qingyao Ai and W. Bruce Croft. 2016. A Deep Relevance Matching Model for Ad-hoc Retrieval. In CIKM. 10.1145/2983323.2983769 Jiafeng Guo Yixing Fan Qingyao Ai and W. Bruce Croft. 2016. A Deep Relevance Matching Model for Ad-hoc Retrieval. In CIKM. 10.1145/2983323.2983769

4. Tomas Mikolov Ilya Sutskever Kai Chen Gregory S. Corrado and Jeffrey Dean. 2013. Distributed Representations of Words and Phrases and their Compositionality. In NIPS. Tomas Mikolov Ilya Sutskever Kai Chen Gregory S. Corrado and Jeffrey Dean. 2013. Distributed Representations of Words and Phrases and their Compositionality. In NIPS.

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