Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification
- Li Dong, Furu Wei, Chuanqi Tan, Duyu Tang, M. Zhou, Ke Xu
- Computer ScienceAnnual Meeting of the Association for…
- 1 June 2014
AdaRNN adaptively propagates the sentiments of words to target depending on the context and syntactic relationships between them and it is shown that AdaRNN improves the baseline methods.
Neural Question Generation from Text: A Preliminary Study
- Qingyu Zhou, Nan Yang, Furu Wei, Chuanqi Tan, Hangbo Bao, M. Zhou
- Computer ScienceNatural Language Processing and Chinese Computing
- 6 April 2017
A preliminary study on neural question generation from text with the SQuAD dataset is conducted, and the experiment results show that the method can produce fluent and diverse questions.
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
- Xiang Chen, Ningyu Zhang, Huajun Chen
- Computer ScienceThe Web Conference
- 15 April 2021
A Knowledge-aware Prompt-tuning approach with synergistic optimization (KnowPrompt) that injects latent knowledge contained in relation labels into prompt construction with learnable virtual type words and answer words.
Document-level Relation Extraction as Semantic Segmentation
- Ningyu Zhang, Xiang Chen, Huajun Chen
- Computer ScienceInternational Joint Conference on Artificial…
- 7 June 2021
A Document U-shaped Network for document-level relation extraction is proposed, which leverages an encoder module to capture the context information of entities and a U- shaped segmentation module over the image-style feature map to capture global interdependency among triples.
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
- Ningyu Zhang, Luoqiu Li, Huajun Chen
- Computer ScienceInternational Conference on Learning…
- 30 August 2021
A novel pluggable, extensible, and efficient approach named DifferentiAble pRompT (DART), which can convert small language models into better few-shot learners.
SuperAgent: A Customer Service Chatbot for E-commerce Websites
- Lei Cui, Shaohan Huang, Furu Wei, Chuanqi Tan, Chaoqun Duan, M. Zhou
- Computer ScienceAnnual Meeting of the Association for…
- 29 July 2017
This paper presents SuperAgent, a customer service chatbot that leverages large-scale and publicly available e-commerce data, which is more practical and cost-effective when answering repetitive questions, freeing up human support staff to answer much higher value questions.
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning
- Runxin Xu, Fuli Luo, Fei Huang
- Computer ScienceConference on Empirical Methods in Natural…
- 13 September 2021
A straightforward yet effective fine-tuning technique, Child-Tuning, which updates a subset of parameters (called child network) of large pretrained models via strategically masking out the gradients of the non-child network during the backward process is proposed.
Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition
- Chuanqi Tan, Weijian Qiu, Mosha Chen, Rui Wang, Fei Huang
- Computer ScienceAAAI Conference on Artificial Intelligence
- 3 April 2020
This work proposes a boundary enhanced neural span classification model that has the ability to generate high-quality candidate spans and greatly reduces the time complexity during inference, and incorporates an additional boundary detection task to predict those words that are boundaries of entities.
S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension
- Chuanqi Tan, Furu Wei, Nan Yang, Weifeng Lv, M. Zhou
- Computer ScienceAAAI Conference on Artificial Intelligence
- 1 June 2017
The answer extraction model is first employed to predict the most important sub-spans from the passage as evidence, and the answer synthesis model takes the evidence as additional features along with the question and passage to further elaborate the final answers.
Multiway Attention Networks for Modeling Sentence Pairs
- Chuanqi Tan, Furu Wei, Wenhui Wang, Weifeng Lv, M. Zhou
- Computer ScienceInternational Joint Conference on Artificial…
- 1 July 2018
Experimental results demonstrate that the proposed multiway attention networks improve the result on the Quora Question Pairs, SNLI, MultiNLI, and answer sentence selection task on the SQuAD dataset.
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