Search Results for author: Jackie C. K. Cheung

Found 12 papers, 4 papers with code

Ensemble Distillation for Unsupervised Constituency Parsing

1 code implementation3 Oct 2023 Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou

We investigate the unsupervised constituency parsing task, which organizes words and phrases of a sentence into a hierarchical structure without using linguistically annotated data.

Constituency Grammar Induction

How Useful are Educational Questions Generated by Large Language Models?

no code implementations13 Apr 2023 Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung, Iulian Serban

Controllable text generation (CTG) by large language models has a huge potential to transform education for teachers and students alike.

Question Generation Question-Generation +1

The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation

no code implementations14 Feb 2023 Kushal Arora, Timothy J. O'Donnell, Doina Precup, Jason Weston, Jackie C. K. Cheung

State-of-the-art language generation models can degenerate when applied to open-ended generation problems such as text completion, story generation, or dialog modeling.

Story Generation

Question Personalization in an Intelligent Tutoring System

no code implementations25 May 2022 Sabina Elkins, Robert Belfer, Ekaterina Kochmar, Iulian Serban, Jackie C. K. Cheung

This paper investigates personalization in the field of intelligent tutoring systems (ITS).

Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems

no code implementations13 Mar 2021 Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian V. Serban, François St-Hilaire, Jackie C. K. Cheung

We test our method in a dialogue-based ITS and demonstrate that our approach results in high-quality feedback and significantly improved student learning gains.

Discourse Segmentation Misconceptions

What comes next? Extractive summarization by next-sentence prediction

no code implementations12 Jan 2019 Jingyun Liu, Jackie C. K. Cheung, Annie Louis

Existing approaches to automatic summarization assume that a length limit for the summary is given, and view content selection as an optimization problem to maximize informativeness and minimize redundancy within this budget.

Extractive Summarization Informativeness

Detecting Large Concept Extensions for Conceptual Analysis

no code implementations18 Jun 2017 Louis Chartrand, Jackie C. K. Cheung, Mohamed Bouguessa

When performing a conceptual analysis of a concept, philosophers are interested in all forms of expression of a concept in a text---be it direct or indirect, explicit or implicit.

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