Chris Callison-Burch

GooAQ: Open Question Answering with Diverse Answer Types

While day-to-day questions come with a variety of answer types, the curr...
04/18/2021 ∙ by Daniel Khashabi, et al. ∙ 0 ∙ share

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"Wikily" Neural Machine Translation Tailored to Cross-Lingual Tasks

We present a simple but effective approach for leveraging Wikipedia for ...
04/16/2021 ∙ by Mohammad Sadegh Rasooli, et al. ∙ 11 ∙ share

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Visual Goal-Step Inference using wikiHow

Procedural events can often be thought of as a high level goal composed ...
04/12/2021 ∙ by Yue Yang, et al. ∙ 15 ∙ share

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Simple-QE: Better Automatic Quality Estimation for Text Simplification

Text simplification systems generate versions of texts that are easier t...
12/22/2020 ∙ by Reno Kriz, et al. ∙ 0 ∙ share

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Automatic Standardization of Colloquial Persian

The Iranian Persian language has two varieties: standard and colloquial....
12/10/2020 ∙ by Mohammad Sadegh Rasooli, et al. ∙ 3 ∙ share

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RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text

In recent years, large neural networks for natural language generation (...
10/06/2020 ∙ by Liam Dugan, et al. ∙ 12 ∙ share

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Reasoning about Goals, Steps, and Temporal Ordering with WikiHow

We propose a suite of reasoning tasks on two types of relations between ...
09/16/2020 ∙ by Qing Lyu, et al. ∙ 0 ∙ share

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Intent Detection with WikiHow

Modern task-oriented dialog systems need to reliably understand users' i...
09/12/2020 ∙ by Li Zhang, et al. ∙ 0 ∙ share

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Toward Better Storylines with Sentence-Level Language Models

We propose a sentence-level language model which selects the next senten...
05/11/2020 ∙ by Daphne Ippolito, et al. ∙ 0 ∙ share

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Human and Automatic Detection of Generated Text

With the advent of generative models with a billion parameters or more, ...
11/02/2019 ∙ by Daphne Ippolito, et al. ∙ 0 ∙ share

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Bilingual is At Least Monolingual (BALM): A Novel Translation Algorithm that Encodes Monolingual Priors

State-of-the-art machine translation (MT) models do not use knowledge of...
08/30/2019 ∙ by Jeffrey Cheng, et al. ∙ 0 ∙ share

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Comparison of Diverse Decoding Methods from Conditional Language Models

While conditional language models have greatly improved in their ability...
06/14/2019 ∙ by Daphne Ippolito, et al. ∙ 0 ∙ share

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PerspectroScope: A Window to the World of Diverse Perspectives

This work presents PerspectroScope, a web-based system which lets users ...
06/11/2019 ∙ by Sihao Chen, et al. ∙ 0 ∙ share

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Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims

One key consequence of the information revolution is a significant incre...
06/08/2019 ∙ by Sihao Chen, et al. ∙ 0 ∙ share

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Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification

Sentence simplification is the task of rewriting texts so they are easie...
04/04/2019 ∙ by Reno Kriz, et al. ∙ 0 ∙ share

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Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package

Vector space embedding models like word2vec, GloVe, fastText, and ELMo a...
10/26/2018 ∙ by Ajay Patel, et al. ∙ 0 ∙ share

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A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk

A growing number of people are working as part of on-line crowd work, wh...
12/14/2017 ∙ by Kotaro Hara, et al. ∙ 0 ∙ share

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Use of Modality and Negation in Semantically-Informed Syntactic MT

This paper describes the resource- and system-building efforts of an eig...
02/05/2015 ∙ by Kathryn Baker, et al. ∙ 0 ∙ share

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Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation

We explore how to improve machine translation systems by adding more tra...
10/21/2014 ∙ by Michael Bloodgood, et al. ∙ 0 ∙ share

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Using Mechanical Turk to Build Machine Translation Evaluation Sets

Building machine translation (MT) test sets is a relatively expensive ta...
10/20/2014 ∙ by Michael Bloodgood, et al. ∙ 0 ∙ share

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Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach

We describe a unified and coherent syntactic framework for supporting a ...
09/24/2014 ∙ by Kathryn Baker, et al. ∙ 0 ∙ share

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Chris Callison-Burch

Featured Co-authors

Li Zhang

Dan Roth

Hannaneh Hajishirzi

Ashish Sabharwal

David Grangier

Wenpeng Yin

Tushar Khot

Daniel Khashabi

Douglas Eck

João Sedoc

Michael Bloodgood

GooAQ: Open Question Answering with Diverse Answer Types

"Wikily" Neural Machine Translation Tailored to Cross-Lingual Tasks

Visual Goal-Step Inference using wikiHow

Simple-QE: Better Automatic Quality Estimation for Text Simplification

Automatic Standardization of Colloquial Persian

RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text

Reasoning about Goals, Steps, and Temporal Ordering with WikiHow

Intent Detection with WikiHow

Toward Better Storylines with Sentence-Level Language Models

Human and Automatic Detection of Generated Text

Bilingual is At Least Monolingual (BALM): A Novel Translation Algorithm that Encodes Monolingual Priors

Comparison of Diverse Decoding Methods from Conditional Language Models

PerspectroScope: A Window to the World of Diverse Perspectives

Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims

Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification

Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package

A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk

Use of Modality and Negation in Semantically-Informed Syntactic MT

Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation

Using Mechanical Turk to Build Machine Translation Evaluation Sets

Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach