Fetching the paper…
Reading the bibliography…
Pre-training a transformer-based model for the language modeling task in a large dataset and then fine-tuning it for downstream tasks has been found very useful in recent years.
Applying machine learning to text segmentation for information retrieval
X. Huang, F. Peng, D. Schuurmans, N. Cercone, and S. E. Robertson · 2003
Earlier work this paper cites.
York University at TREC 2005: Genomics track
X. Huang, M. Zhong, and L. Si · 2005
Earlier work this paper cites.
Boosting prediction accuracy on imbalanced datasets with SVM ensembles
Y. Liu, A. An, and X. Huang · 2006
Earlier work this paper cites.
ARSA: a sentiment-aware model for predicting sales performance using blogs
Y. Liu, X. Huang, A. An, and X. Yu · 2007
Earlier work this paper cites.
What is the jeopardy model? a quasi-synchronous grammar for qa
M. Wang, N. A. Smith, and T. Mitamura · 2007
Earlier work this paper cites.
Modeling and predicting the helpfulness of online reviews
Y. Liu, X. Huang, A. An, and X. Yu · 2008
Earlier work this paper cites.
A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval
X. Huang and Q. Hu · 2009
Earlier work this paper cites.
Proximity-based rocchio’s model for pseudo relevance
J. Miao, J. X. Huang, and Z. Ye · 2012
Earlier work this paper cites.
Mining online reviews for predicting sales performance: A case study in the movie domain
X. Yu, Y. Liu, X. Huang, and A. An · 2012
Earlier work this paper cites.
Efficient estimation of word representations in vector space
T. Mikolov, K. Chen, G. Corrado, and J. Dean · 2013
Earlier work this paper cites.
Automatic feature engineering for answer selection and extraction
A. Severyn and A. Moschitti · 2013
Earlier work this paper cites.
Question answering using enhanced lexical semantic models
W.-t. Yih, M.-W. Chang, C. Meek, and A. Pastusiak · 2013
Earlier work this paper cites.
A survival modeling approach to biomedical search result diversification using wikipedia
X. Yin, J. X. Huang, Z. Li, and X. Zhou · 2013
Earlier work this paper cites.
Glove: Global vectors for word representation
J. Pennington, R. Socher, and C. Manning · 2014
Cited alongside, same era.
WikiQA: A challenge dataset for open-domain question answering
Y. Yang, W.-t. Yih, and C. Meek · 2015
Cited alongside, same era.
Y. Zhu, R. Kiros, R. Zemel, R. Salakhutdinov, R. Urtasun, A. Torralba, and S. Fidler · 2015
Cited alongside, same era.
Noise-contrastive estimation for answer selection with deep neural networks
J. Rao, H. He, and J. Lin · 2016
Cited alongside, same era.
Enhancing recurrent neural networks with positional attention for question answering
Q. Chen, Q. Hu, J. X. Huang, L. He, and W. An · 2017
Cited alongside, same era.
Semeval-2017 task 3: Community question answering
Zero-Resource Cross-Lingual Named Entity Recognition
M. S. Bari, S. Joty, and P. Jwalapuram · 2019
Later among the works it cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2019
Later among the works it cites.
Predicting and integrating expected answer types into a simple recurrent neural network model for answer sentence selection
S. Kamath, B. Grau, and Y. Ma · 2019
Later among the works it cites.
Utilizing bidirectional encoder representations from transformers for answer selection task
M. T. R. Laskar, E. Hoque, and J. Huang · 2019
Later among the works it cites.
Roberta: A robustly optimized bert pretraining approach
Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, and V. Stoyanov · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
P. Nakov, D. Hoogeveen, L. Màrquez, A. Moschitti, H. Mubarak, T. Baldwin, and K. Verspoor · 2017
Cited alongside, same era.
Learning to rank question answer pairs with holographic dual lstm architecture
Y. Tay, M. C. Phan, L. A. Tuan, and S. C. Hui · 2017
Cited alongside, same era.
Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
Cited alongside, same era.
CA-RNN: Using context-aligned recurrent neural networks for modeling sentence similarity
Q. Chen, Q. Hu, J. X. Huang, and L. He · 2018
Cited alongside, same era.
CAN: Enhancing sentence similarity modeling with collaborative and adversarial network
Q. Chen, Q. Hu, J. X. Huang, and L. He · 2018
Cited alongside, same era.
Deep contextualized word representations
M. E. Peters, M. Neumann, M. Iyyer, M. Gardner, C. Clark, K. Lee, and L. Zettlemoyer · 2018
Cited alongside, same era.
A multi-view fusion neural network for answer selection
L. Sha, X. Zhang, F. Qian, B. Chang, and Z. Sui · 2018
Cited alongside, same era.
Later among the works it cites.
Robust Named Entity Recognition with Truecasing Pretraining
S. Mayhew, N. Gupta, and D. Roth · 2019
Later among the works it cites.
Bridging the gap between relevance matching and semantic matching for short text similarity modeling
J. Rao, L. Liu, Y. Tay, W. Yang, P. Shi, and J. Lin · 2019
Later among the works it cites.
Transformers: State-of-the-art natural language processing
T. Wolf, L. Debut, V. Sanh, J. Chaumond, C. Delangue, A. Moi, P. Cistac, T. Rault, R. Louf, M. Funtowicz, et al · 2019
Later among the works it cites.
Answering questions about charts and generating visual explanations
D. H. Kim, E. Hoque, and M. Agrawala · 2020
Closest in time.
Query focused abstractive summarization via incorporating query relevance and transfer learning with transformer models
M. T. R. Laskar, E. Hoque, and J. Huang · 2020
Closest in time.
M. T. R. Laskar, E. Hoque, and J. X. Huang · 2020
Closest in time.
Contextualized embeddings based transformer encoder for sentence similarity modeling in answer selection task
M. T. R. Laskar, X. Huang, and E. Hoque · 2020
Closest in time.