output
20132025
most citedZoneout: Regularizing RNNs by Randomly Preserving Hidden Activations

167 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing cs.CLShow all

7 papers · 1 filter

cs.CL2023★ 10 cited

Towards Detecting Contextual Real-Time Toxicity for In-Game Chat

Zachary Yang, Nicolas Grenan-Godbout, Reihaneh Rabbany

Real-time toxicity detection in online environments poses a significant challenge, due to the increasing prevalence of social media and gaming platforms. We introduce ToxBuster, a…

cs.CL2021★ 1 cited

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…

cs.CL2021★ 1 cited

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…

cs.CL2021★ 1 cited

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…

cs.CL2019★ 9 cited

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…

cs.CL2018★ 23 cited

Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph

Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra +2

While conversing with chatbots, humans typically tend to ask many questions, a significant portion of which can be answered by referring to large-scale knowledge graphs (KG). While…

cs.CL2016★ 28 cited

First Result on Arabic Neural Machine Translation

Amjad Almahairi, Kyunghyun Cho, Nizar Habash +1

Neural machine translation has become a major alternative to widely used phrase-based statistical machine translation. We notice however that much of research on neural machine tra…