activity
20192022
most citedSimple-QE: Better Automatic Quality Estimation for Text Simplification

6 citations · 11 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Ambiguous Images With Human Judgments for Robust Visual Event Classification

Kate Sanders, Reno Kriz, Anqi Liu +1

Contemporary vision benchmarks predominantly consider tasks on which humans can achieve near-perfect performance. However, humans are frequently presented with visual data that the…

cs.CL2022

Creating Multimedia Summaries Using Tweets and Videos

Anietie Andy, Siyi Liu, Daphne Ippolito +3

While popular televised events such as presidential debates or TV shows are airing, people provide commentary on them in real-time. In this paper, we propose a simple yet effective…

cs.CL2021

BiSECT: Learning to Split and Rephrase Sentences with Bitexts

Joongwon Kim, Mounica Maddela, Reno Kriz +2

An important task in NLP applications such as sentence simplification is the ability to take a long, complex sentence and split it into shorter sentences, rephrasing as necessary.…

cs.CL20206 cited

Simple-QE: Better Automatic Quality Estimation for Text Simplification

Reno Kriz, Marianna Apidianaki, Chris Callison-Burch

Text simplification systems generate versions of texts that are easier to understand for a broader audience. The quality of simplified texts is generally estimated using metrics th…

cs.CL2019

Comparison of Diverse Decoding Methods from Conditional Language Models

Daphne Ippolito, Reno Kriz, Maria Kustikova +2

While conditional language models have greatly improved in their ability to output high-quality natural language, many NLP applications benefit from being able to generate a divers…

cs.CL20195 cited

Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification

Reno Kriz, João Sedoc, Marianna Apidianaki +4

Sentence simplification is the task of rewriting texts so they are easier to understand. Recent research has applied sequence-to-sequence (Seq2Seq) models to this task, focusing la…