High-Quality Dialogue Diversification by Intermittent Short Extension Ensembles

1 code implementation • Findings (ACL) 2021 • Zhiwen Tang, Hrishikesh Kulkarni, Grace Hui Yang

Vocal Bursts Intensity Prediction

High-Quality Diversification for Task-Oriented Dialogue Systems

1 code implementation • 2 Jun 2021 • Zhiwen Tang, Hrishikesh Kulkarni, Grace Hui Yang

Many task-oriented dialogue systems use deep reinforcement learning (DRL) to learn policies that respond to the user appropriately and complete the tasks successfully.

Conversational Search Task-Oriented Dialogue Systems +1

Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval

no code implementations • 5 Jun 2020 • Limin Chen, Zhiwen Tang, Grace Hui Yang

Interactive Information Retrieval (IIR) and Reinforcement Learning (RL) share many commonalities, including an agent who learns while interacts, a long-term and complex goal, and an algorithm that explores and adapts.

Information Retrieval reinforcement-learning +3

Corpus-Level End-to-End Exploration for Interactive Systems

1 code implementation • 23 Nov 2019 • Zhiwen Tang, Grace Hui Yang

A core interest in building Artificial Intelligence (AI) agents is to let them interact with and assist humans.

Reinforcement Learning (RL) Retrieval +1

A Re-classification of Information Seeking Tasks and Their Computational Solutions

no code implementations • 26 Sep 2019 • Zhiwen Tang, Grace Hui Yang

This article presents a re-classification of information seeking (IS) tasks, concepts, and algorithms.

DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval

1 code implementation • 1 Nov 2018 • Zhiwen Tang, Grace Hui Yang

Most neural Information Retrieval (Neu-IR) models derive query-to-document ranking scores based on term-level matching.

Document Ranking Information Retrieval +2