554 citations · 1.3k across the 62 of their papers we have counts for
12 papers · 1 filter
When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation
Tian Lan, Xianling Mao, Heyan Huang +1
Despite the multi-turn open-domain dialogue systems have attracted more and more attention and made great progress, the existing dialogue systems are still very boring. Nearly all…
DialogAct2Vec: Towards End-to-End Dialogue Agent by Multi-Task Representation Learning
Zhuoxuan Jiang, Ziming Huang, Dong Sheng Li +1
In end-to-end dialogue modeling and agent learning, it is important to (1) effectively learn knowledge from data, and (2) fully utilize heterogeneous information, e.g., dialogue ac…
Can Monolingual Pretrained Models Help Cross-Lingual Classification?
Zewen Chi, Li Dong, Furu Wei +2
Multilingual pretrained language models (such as multilingual BERT) have achieved impressive results for cross-lingual transfer. However, due to the constant model capacity, multil…
SEPT: Improving Scientific Named Entity Recognition with Span Representation
Tan Yan, Heyan Huang, Xian-Ling Mao
We introduce a new scientific named entity recognizer called SEPT, which stands for Span Extractor with Pre-trained Transformers. In recent papers, span extractors have been demons…
Generative Dialog Policy for Task-oriented Dialog Systems
Tian Lan, Xianling Mao, Heyan Huang
There is an increasing demand for task-oriented dialogue systems which can assist users in various activities such as booking tickets and restaurant reservations. In order to compl…
Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation
Wei Wei, Ling Cheng, Xianling Mao +2
Recently, automatic image caption generation has been an important focus of the work on multimodal translation task. Existing approaches can be roughly categorized into two classes…
Cross-Lingual Natural Language Generation via Pre-Training
Zewen Chi, Li Dong, Furu Wei +3
In this work we focus on transferring supervision signals of natural language generation (NLG) tasks between multiple languages. We propose to pretrain the encoder and the decoder…
Complicated Table Structure Recognition
Zewen Chi, Heyan Huang, Heng-Da Xu +3
The task of table structure recognition aims to recognize the internal structure of a table, which is a key step to make machines understand tables. Currently, there are lots of st…
Deep Hashing for Signed Social Network Embedding
Jia-Nan Guo, Xian-Ling Mao, Xiao-Jian Jiang +3
Network embedding is a promising way of network representation, facilitating many signed social network processing and analysis tasks such as link prediction and node classificatio…
Towards End-to-End Learning for Efficient Dialogue Agent by Modeling Looking-ahead Ability
Zhuoxuan Jiang, Xian-Ling Mao, Ziming Huang +2
Learning an efficient manager of dialogue agent from data with little manual intervention is important, especially for goal-oriented dialogues. However, existing methods either tak…
Multi-task Learning for Low-resource Second Language Acquisition Modeling
Yong Hu, Heyan Huang, Tian Lan +5
Second language acquisition (SLA) modeling is to predict whether second language learners could correctly answer the questions according to what they have learned. It is a fundamen…
Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning
Rong-Cheng Tu, Xian-Ling Mao, Bing Ma +4
Due to their high retrieval efficiency and low storage cost, cross-modal hashing methods have attracted considerable attention. Generally, compared with shallow cross-modal hashing…