30 citations · 84 across the 12 of their papers we have counts for
19 papers
Tapping the Potential of Coherence and Syntactic Features in Neural Models for Automatic Essay Scoring
Xinying Qiu, Shuxuan Liao, Jiajun Xie +1
In the prompt-specific holistic score prediction task for Automatic Essay Scoring, the general approaches include pre-trained neural model, coherence model, and hybrid model that i…
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation
Junyi Li, Tianyi Tang, Wayne Xin Zhao +2
We study the text generation task under the approach of pre-trained language models (PLMs). Typically, an auto-regressive (AR) method is adopted for generating texts in a token-by-…
From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking
Yutao Zhu, Jian-Yun Nie, Yixuan Su +3
Contextual information in search sessions is important for capturing users' search intents. Various approaches have been proposed to model user behavior sequences to improve docume…
Learning to Transfer Prompts for Text Generation
Junyi Li, Tianyi Tang, Jian-Yun Nie +2
Pretrained language models (PLMs) have made remarkable progress in text generation tasks via fine-tuning. While, it is challenging to fine-tune PLMs in a data-scarce situation. The…
Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking
Yutao Zhu, Jian-Yun Nie, Zhicheng Dou +5
Context information in search sessions has proven to be useful for capturing user search intent. Existing studies explored user behavior sequences in sessions in different ways to…
Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals
Yutao Zhu, Jian-Yun Nie, Kun Zhou +3
A proactive dialogue system has the ability to proactively lead the conversation. Different from the general chatbots which only react to the user, proactive dialogue systems can b…