activity
20182022
most citedIncorporating Fine-grained Events in Stock Movement Prediction

4 citations · 7 across the 7 of their papers we have counts for

collaborators

12 papers

cs.CL2022

Automatic Scene-based Topic Channel Construction System for E-Commerce

Peng Lin, Yanyan Zou, Lingfei Wu +3

Scene marketing that well demonstrates user interests within a certain scenario has proved effective for offline shopping. To conduct scene marketing for e-commerce platforms, this…

cs.CL2021

Adaptive Bridge between Training and Inference for Dialogue

Haoran Xu, Hainan Zhang, Yanyan Zou +3

Although exposure bias has been widely studied in some NLP tasks, it faces its unique challenges in dialogue response generation, the representative one-to-various generation scena…

cs.CL2021

FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning

Xu Wang, Hainan Zhang, Shuai Zhao +5

Despite the success of neural dialogue systems in achieving high performance on the leader-board, they cannot meet users' requirements in practice, due to their poor reasoning skil…

cs.CL2021

Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization

Junpeng Liu, Yanyan Zou, Hainan Zhang +4

Unlike well-structured text, such as news reports and encyclopedia articles, dialogue content often comes from two or more interlocutors, exchanging information with each other. In…

cs.CL2020

Pre-training for Abstractive Document Summarization by Reinstating Source Text

Yanyan Zou, Xingxing Zhang, Wei Lu +2

Abstractive document summarization is usually modeled as a sequence-to-sequence (Seq2Seq) learning problem. Unfortunately, training large Seq2Seq based summarization models on limi…

cs.CL2020

Mining Commonsense Facts from the Physical World

Yanyan Zou, Wei Lu, Xu Sun

Textual descriptions of the physical world implicitly mention commonsense facts, while the commonsense knowledge bases explicitly represent such facts as triples. Compared to drama…