81 citations
- Université de MontréalCA11 papers
- McGill UniversityCA7 papers
- Google DeepMind (United Kingdom)GB3 papers
- Brain (Germany)DE2 papers
- Google (United States)US2 papers
- Peking UniversityCN2 papers
- Samsung (South Korea)KR2 papers
- Tencent (China)CN2 papers
- Ahlia UniversityBH1 paper
- Brown UniversityUS1 paper
- Canadian Institute for Advanced ResearchCA1 paper
- Carnegie Mellon UniversityUS1 paper
4 papers · 1 filter
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction
Zhexue Chen, Hong Huang, Bang Liu +2
Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from sentences, where each triplet includes an entity, its associated sentiment, and the opinion span explaining…
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting
Yi Cheng, Siyao Li, Bang Liu +4
This paper explores the task of Difficulty-Controllable Question Generation (DCQG), which aims at generating questions with required difficulty levels. Previous research on this ta…
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems
Matt Grenander, Robert Belfer, Ekaterina Kochmar +3
We explore creating automated, personalized feedback in an intelligent tutoring system (ITS). Our goal is to pinpoint correct and incorrect concepts in student answers in order to…
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text
Ian Porada, Kaheer Suleman, Jackie Chi Kit Cheung
Modeling semantic plausibility requires commonsense knowledge about the world and has been used as a testbed for exploring various knowledge representations. Previous work has focu…