activity
20162022
most citedComparative Study of CNN and RNN for Natural Language Processing

895 citations · 1.1k across the 12 of their papers we have counts for

collaborators

26 papers

cs.CL20222 cited

OpenStance: Real-world Zero-shot Stance Detection

Hanzi Xu, Slobodan Vucetic, Wenpeng Yin

Prior studies of zero-shot stance detection identify the attitude of texts towards unseen topics occurring in the same document corpus. Such task formulation has three limitations:…

cs.CL2022

ConTinTin: Continual Learning from Task Instructions

Wenpeng Yin, Jia Li, Caiming Xiong

The mainstream machine learning paradigms for NLP often work with two underlying presumptions. First, the target task is predefined and static; a system merely needs to learn to so…

cs.CL20224 cited

Converse: A Tree-Based Modular Task-Oriented Dialogue System

Tian Xie, Xinyi Yang, Angela S. Lin +13

Creating a system that can have meaningful conversations with humans to help accomplish tasks is one of the ultimate goals of Artificial Intelligence (AI). It has defined the meani…

cs.CL2022

Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference

Bangzheng Li, Wenpeng Yin, Muhao Chen

The task of ultra-fine entity typing (UFET) seeks to predict diverse and free-form words or phrases that describe the appropriate types of entities mentioned in sentences. A key ch…

cs.CL20212 cited

DocNLI: A Large-scale Dataset for Document-level Natural Language Inference

Wenpeng Yin, Dragomir Radev, Caiming Xiong

Natural language inference (NLI) is formulated as a unified framework for solving various NLP problems such as relation extraction, question answering, summarization, etc. It has b…

cs.CL2021

Learning to Synthesize Data for Semantic Parsing

Bailin Wang, Wenpeng Yin, Xi Victoria Lin +1

Synthesizing data for semantic parsing has gained increasing attention recently. However, most methods require handcrafted (high-precision) rules in their generative process, hinde…