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GooAQ: Open Question Answering with Diverse Answer Types
While day-to-day questions come with a variety of answer types, the curr...
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"Wikily" Neural Machine Translation Tailored to Cross-Lingual Tasks
We present a simple but effective approach for leveraging Wikipedia for ...
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Visual Goal-Step Inference using wikiHow
Procedural events can often be thought of as a high level goal composed ...
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Simple-QE: Better Automatic Quality Estimation for Text Simplification
Text simplification systems generate versions of texts that are easier t...
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Automatic Standardization of Colloquial Persian
The Iranian Persian language has two varieties: standard and colloquial....
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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 (...
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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 ...
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Intent Detection with WikiHow
Modern task-oriented dialog systems need to reliably understand users' i...
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Toward Better Storylines with Sentence-Level Language Models
We propose a sentence-level language model which selects the next senten...
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Human and Automatic Detection of Generated Text
With the advent of generative models with a billion parameters or more, ...
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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...
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Comparison of Diverse Decoding Methods from Conditional Language Models
While conditional language models have greatly improved in their ability...
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PerspectroScope: A Window to the World of Diverse Perspectives
This work presents PerspectroScope, a web-based system which lets users ...
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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...
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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...
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Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package
Vector space embedding models like word2vec, GloVe, fastText, and ELMo a...
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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...
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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...
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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...
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Using Mechanical Turk to Build Machine Translation Evaluation Sets
Building machine translation (MT) test sets is a relatively expensive ta...
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Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach
We describe a unified and coherent syntactic framework for supporting a ...
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