Papers

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Viewing 41-50 of 55 papers
  • Social Chemistry 101: Learning to Reason about Social Norms and Moral Norms

    Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin ChoiEMNLP2020 Social norms---the unspoken commonsense rules about acceptable social behavior---are crucial in understanding the underlying causes and intents of people's actions in narratives. For example, underlying an action such as "wanting to call cops on my neighbors…
  • The Multilingual Amazon Reviews Corpus

    Phillip Keung, Y. Lu, Gyorgy Szarvas, Noah A. SmithEMNLP2020 We present the Multilingual Amazon Reviews Corpus (MARC), a large-scale collection of Amazon reviews for multilingual text classification. The corpus contains reviews in English, Japanese, German, French, Spanish, and Chinese, which were collected between…
  • Thinking Like a Skeptic: Defeasible Inference in Natural Language

    Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith and Yejin ChoiFindings of EMNLP2020 Defeasible inference is a mode of reasoning in which an inference (X is a bird, therefore X flies) may be weakened or overturned in light of new evidence (X is a penguin). Though long recognized in classical AI and philosophy, defeasible inference has not…
  • TLDR: Extreme Summarization of Scientific Documents

    Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. WeldFindings of EMNLP2020 We introduce TLDR generation for scientific papers, a new automatic summarization task with high source compression, requiring expert background knowledge and complex language understanding. To facilitate research on this task, we introduce SciTLDR, a dataset…
  • TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions

    Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan RothEMNLP2020 A critical part of reading is being able to understand the temporal relationships between events described in a passage of text, even when those relationships are not explicitly stated. However, current machine reading comprehension benchmarks have…
  • UnifiedQA: Crossing Format Boundaries With a Single QA System

    Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh HajishirziFindings of EMNLP2020 Question answering (QA) tasks have been posed using a variety of formats, such as extractive span selection, multiple choice, etc. This has led to format-specialized models, and even to an implicit division in the QA community. We argue that such boundaries…
  • UnQovering Stereotyping Biases via Underspecified Questions

    Tao Li, Tushar Khot, Daniel Khashabi, Ashish Sabharwal, Vivek SrikumarFindings of EMNLP2020 While language embeddings have been shown to have stereotyping biases, how these biases affect downstream question answering (QA) models remains unexplored. We present UNQOVER, a general framework to probe and quantify biases through underspecified questions…
  • Unsupervised Commonsense Question Answering with Self-Talk

    Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi EMNLP2020 Natural language understanding involves reading between the lines with implicit background knowledge. Current systems either rely on pre-trained language models as the sole implicit source of world knowledge, or resort to external knowledge bases (KBs) to…
  • What-if I ask you to explain: Explaining the effects of perturbations in procedural text

    Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. HovyFindings of EMNLP2020 We address the task of explaining the effects of perturbations in procedural text, an important test of process comprehension. Consider a passage describing a rabbit's life-cycle: humans can easily explain the effect on the rabbit population if a female…
  • Writing Strategies for Science Communication: Data and Computational Analysis

    Tal August, Lauren Kim, Katharina Reinecke, Noah A. SmithEMNLP2020 Communicating complex scientific ideas without misleading or overwhelming the public is challenging. While science communication guides exist, they rarely offer empirical evidence for how their strategies are used in practice. Writing trategies that can be…