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20162026
most citedParaphrasing evades detectors of AI-generated text, but retrieval is an effective defense

91 citations · 357 across the 70 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CL2020

Analyzing Gender Bias within Narrative Tropes

Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner +2

Popular media reflects and reinforces societal biases through the use of tropes, which are narrative elements, such as archetypal characters and plot arcs, that occur frequently ac…

cs.CL2020

Reformulating Unsupervised Style Transfer as Paraphrase Generation

Kalpesh Krishna, John Wieting, Mohit Iyyer

Modern NLP defines the task of style transfer as modifying the style of a given sentence without appreciably changing its semantics, which implies that the outputs of style transfe…

cs.CL2020★ 3 cited

STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation

Nader Akoury, Shufan Wang, Josh Whiting +3

Systems for story generation are asked to produce plausible and enjoyable stories given an input context. This task is underspecified, as a vast number of diverse stories can origi…

cs.CL2020

Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models

Sumanta Bhattacharyya, Amirmohammad Rooshenas, Subhajit Naskar +3

The discrepancy between maximum likelihood estimation (MLE) and task measures such as BLEU score has been studied before for autoregressive neural machine translation (NMT) and res…

cs.IR2020★ 82 cited

Open-Retrieval Conversational Question Answering

Chen Qu, Liu Yang, Cen Chen +3

Conversational search is one of the ultimate goals of information retrieval. Recent research approaches conversational search by simplified settings of response ranking and convers…

cs.CL2020★ 11 cited

Hard-Coded Gaussian Attention for Neural Machine Translation

Weiqiu You, Simeng Sun, Mohit Iyyer

Recent work has questioned the importance of the Transformer's multi-headed attention for achieving high translation quality. We push further in this direction by developing a "har…