Effective Unsupervised Constrained Text Generation based on Perturbed Masking

no code implementations • Findings (ACL) 2022 • Yingwen Fu, Wenjie Ou, Zhou Yu, Yue Lin

Unsupervised constrained text generation aims to generate text under a given set of constraints without any supervised data.

Position Sentence +1

WinNet:time series forecasting with a window-enhanced period extracting and interacting

no code implementations • 1 Nov 2023 • Wenjie Ou, Dongyue Guo, Zheng Zhang, Zhishuo Zhao, Yi Lin

We present a highly accurate and simply structured CNN-based model for long-term time series forecasting tasks, called WinNet, including (i) Inter-Intra Period Encoder (I2PE) to transform 1D sequence into 2D tensor with long and short periodicity according to the predefined periodic window, (ii) Two-Dimensional Period Decomposition (TDPD) to model period-trend and oscillation terms, and (iii) Decomposition Correlation Block (DCB) to leverage the correlations of the period-trend and oscillation terms to support the prediction tasks by CNNs.

Time Series Time Series Forecasting

MIGA: A Unified Multi-task Generation Framework for Conversational Text-to-SQL

no code implementations • 19 Dec 2022 • Yingwen Fu, Wenjie Ou, Zhou Yu, Yue Lin

Conversational text-to-SQL is designed to translate multi-turn natural language questions into their corresponding SQL queries.

Text-To-SQL

A Clarifying Question Selection System from NTES_ALONG in Convai3 Challenge

no code implementations • 27 Oct 2020 • Wenjie Ou, Yue Lin

This paper presents the participation of NetEase Game AI Lab team for the ClariQ challenge at Search-oriented Conversational AI (SCAI) EMNLP workshop in 2020.

Information Retrieval Question Selection +1