39 citations · 307 across the 48 of their papers we have counts for
8 papers · 1 filter
Structure-Unified M-Tree Coding Solver for MathWord Problem
Bin Wang, Jiangzhou Ju, Yang Fan +3
As one of the challenging NLP tasks, designing math word problem (MWP) solvers has attracted increasing research attention for the past few years. In previous work, models designed…
Probing Cross-modal Semantics Alignment Capability from the Textual Perspective
Zheng Ma, Shi Zong, Mianzhi Pan +4
In recent years, vision and language pre-training (VLP) models have advanced the state-of-the-art results in a variety of cross-modal downstream tasks. Aligning cross-modal semanti…
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection
Fei Zhao, Yuchen Shen, Zhen Wu +1
Multi-Label Few-Shot Aspect Category Detection (FS-ACD) is a new sub-task of aspect-based sentiment analysis, which aims to detect aspect categories accurately with limited trainin…
Zero-Shot 3D Drug Design by Sketching and Generating
Siyu Long, Yi Zhou, Xinyu Dai +1
Drug design is a crucial step in the drug discovery cycle. Recently, various deep learning-based methods design drugs by generating novel molecules from scratch, avoiding traversin…
A Numerical Reasoning Question Answering System with Fine-grained Retriever and the Ensemble of Multiple Generators for FinQA
Bin Wang, Jiangzhou Ju, Yunlin Mao +3
The numerical reasoning in the financial domain -- performing quantitative analysis and summarizing the information from financial reports -- can greatly increase business efficien…
Analyzing the Intensity of Complaints on Social Media
Ming Fang, Shi Zong, Jing Li +3
Complaining is a speech act that expresses a negative inconsistency between reality and human expectations. While prior studies mostly focus on identifying the existence or the typ…
-GLAT: Glancing at Latent Variables for Parallel Text Generation
Yu Bao, Hao Zhou, Shujian Huang +5
Recently, parallel text generation has received widespread attention due to its success in generation efficiency. Although many advanced techniques are proposed to improve its gene…
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search
Zhifang Fan, Dan Ou, Yulong Gu +7
Modeling user's historical feedback is essential for Click-Through Rate Prediction in personalized search and recommendation. Existing methods usually only model users' positive fe…