activity
20182023
most citedFine-tune Bert for DocRED with Two-step Process

116 citations · 538 across the 44 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CL2019

Table-to-Text Natural Language Generation with Unseen Schemas

Tianyu Liu, Wei Wei, William Yang Wang

Traditional table-to-text natural language generation (NLG) tasks focus on generating text from schemas that are already seen in the training set. This limitation curbs their gener…

cs.CL2019★ 58 cited

r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

Kai Nakamura, Sharon Levy, William Yang Wang

Fake news has altered society in negative ways in politics and culture. It has adversely affected both online social network systems as well as offline communities and conversation…

cs.CV2019★ 11 cited

Meta Module Network for Compositional Visual Reasoning

Wenhu Chen, Zhe Gan, Linjie Li +3

Neural Module Network (NMN) exhibits strong interpretability and compositionality thanks to its handcrafted neural modules with explicit multi-hop reasoning capability. However, mo…

cs.CL2019★ 116 cited

Fine-tune Bert for DocRED with Two-step Process

Hong Wang, Christfried Focke, Rob Sylvester +2

Modelling relations between multiple entities has attracted increasing attention recently, and a new dataset called DocRED has been collected in order to accelerate the research on…

cs.CL2019★ 4 cited

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection

Wenhu Chen, Yu Su, Yilin Shen +3

With the rapid development in deep learning, deep neural networks have been widely adopted in many real-life natural language applications. Under deep neural networks, a pre-define…

cs.CV2019★ 14 cited

REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments

Yuankai Qi, Qi Wu, Peter Anderson +4

One of the long-term challenges of robotics is to enable robots to interact with humans in the visual world via natural language, as humans are visual animals that communicate thro…