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20132023
most citedA Survey on Natural Language Processing for Fake News Detection

276 citations · 2k across the 138 of their papers we have counts for

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Showing 2020Show all

13 papers · 1 filter

cs.CL2020

Investigating African-American Vernacular English in Transformer-Based Text Generation

Sophie Groenwold, Lily Ou, Aesha Parekh +4

The growth of social media has encouraged the written use of African American Vernacular English (AAVE), which has traditionally been used only in oral contexts. However, NLP model…

cs.CV2020★ 2 cited

Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation

Jiannan Xiang, Xin Eric Wang, William Yang Wang

Vision-and-Language Navigation (VLN) is a natural language grounding task where an agent learns to follow language instructions and navigate to specified destinations in real-world…

cs.CL2020★ 1 cited

Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations

Wanrong Zhu, Xin Eric Wang, Pradyumna Narayana +3

A major challenge in visually grounded language generation is to build robust benchmark datasets and models that can generalize well in real-world settings. To do this, it is criti…

cs.CL2020

Unsupervised Multi-hop Question Answering by Question Generation

Liangming Pan, Wenhu Chen, Wenhan Xiong +2

Obtaining training data for multi-hop question answering (QA) is time-consuming and resource-intensive. We explore the possibility to train a well-performed multi-hop QA model with…

cs.CL2020★ 18 cited

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

Wenhan Xiong, Xiang Lorraine Li, Srini Iyer +8

We propose a simple and efficient multi-hop dense retrieval approach for answering complex open-domain questions, which achieves state-of-the-art performance on two multi-hop datas…

cs.CV2020★ 3 cited

SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning

Tsu-Jui Fu, Xin Eric Wang, Scott Grafton +2

Iterative Language-Based Image Editing (IL-BIE) tasks follow iterative instructions to edit images step by step. Data scarcity is a significant issue for ILBIE as it is challenging…