activity
20212026
most citedRelation Aware Semi-autoregressive Semantic Parsing for NL2SQL

9 citations · 21 across the 9 of their papers we have counts for

collaborators

9 papers

cs.IR2026

From Events to Trending: A Multi-Stage Hotspots Detection Method Based on Generative Query Indexing

Kaichun Wang, Yanguang Chen, Ting Zhang +7

LLM-based conversational systems have become a popular gateway for information access, yet most existing chatbots struggle to handle news-related trending queries effectively. To i…

cs.CL2025

Stick to Facts: Towards Fidelity-oriented Product Description Generation

Zhangming Chan, Xiuying Chen, Yongliang Wang +5

Different from other text generation tasks, in product description generation, it is of vital importance to generate faithful descriptions that stick to the product attribute infor…

cs.CL2023★ 2 cited

Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately

Xin Cheng, Shen Gao, Yuchi Zhang +5

Review summarization is a non-trivial task that aims to summarize the main idea of the product review in the E-commerce website. Different from the document summary which only need…

cs.CL2022★ 1 cited

Utterance Rewriting with Contrastive Learning in Multi-turn Dialogue

Zhihao Wang, Tangjian Duan, Zihao Wang +3

Context modeling plays a significant role in building multi-turn dialogue systems. In order to make full use of context information, systems can use Incomplete Utterance Rewriting(…

cs.CL2022★ 2 cited

Towards Generalized Models for Task-oriented Dialogue Modeling on Spoken Conversations

Ruijie Yan, Shuang Peng, Haitao Mi +7

Building robust and general dialogue models for spoken conversations is challenging due to the gap in distributions of spoken and written data. This paper presents our approach to…

cs.CL2022

Precognition in Task-oriented Dialogue Understanding: Posterior Regularization by Future Context

Nan Su, Yuchi Zhang, Chao Liu +2

Task-oriented dialogue systems have become overwhelmingly popular in recent researches. Dialogue understanding is widely used to comprehend users' intent, emotion and dialogue stat…

cs.CL2021

HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling

Shen Gao, Yuchi Zhang, Yongliang Wang +4

Community Question Answering (CQA) is a well-defined task that can be used in many scenarios, such as E-Commerce and online user community for special interests. In these communiti…

cs.CL2021★ 7 cited

S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation

Chen Liang, Chong Yang, Jing Xu +3

Emotion recognition in conversation (ERC) has attracted much attention in recent years for its necessity in widespread applications. Existing ERC methods mostly model the self and…

cs.CL2021★ 9 cited

Relation Aware Semi-autoregressive Semantic Parsing for NL2SQL

Junyang Huang, Yongbo Wang, Yongliang Wang +2

Natural language to SQL (NL2SQL) aims to parse a natural language with a given database into a SQL query, which widely appears in practical Internet applications. Jointly encode da…