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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies ... Geva, Mor; Khashabi, Daniel; Segal, Elad. - : arXiv, 2021 BASE Show details 2 TransOMCS: From Linguistic Graphs to Commonsense Knowledge ... Zhang, Hongming; Khashabi, Daniel; Song, Yangqiu. - : arXiv, 2020 BASE Show details 3 Solving Hard Coreference Problems ... Peng, Haoruo; Khashabi, Daniel; Roth, Dan. - : arXiv, 2019 BASE Show details 4 On the Possibilities and Limitations of Multi-hop Reasoning Under Linguistic Imperfections ... Khashabi, Daniel; Azer, Erfan Sadeqi; Khot, Tushar; Sabharwal, Ashish; Roth, Dan. - : arXiv, 2019 Abstract: Systems for language understanding have become remarkably strong at overcoming linguistic imperfections in tasks involving phrase matching or simple reasoning. Yet, their accuracy drops dramatically as the number of reasoning steps increases. We present the first formal framework to study such empirical observations. It allows one to quantify the amount and effect of ambiguity, redundancy, incompleteness, and inaccuracy that the use of language introduces when representing a hidden conceptual space. The idea is to consider two interrelated spaces: a conceptual meaning space that is unambiguous and complete but hidden, and a linguistic space that captures a noisy grounding of the meaning space in the words of a language---the level at which all systems, whether neural or symbolic, operate. Applying this framework to a special class of multi-hop reasoning, namely the connectivity problem in graphs of relationships between concepts, we derive rigorous intuitions and impossibility results even under this ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1901.02522 https://arxiv.org/abs/1901.02522 BASE Hide details 5 Question Answering as Global Reasoning over Semantic Abstractions ... Khashabi, Daniel; Khot, Tushar; Sabharwal, Ashish. - : arXiv, 2019 BASE Show details 6 Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims ... Chen, Sihao; Khashabi, Daniel; Yin, Wenpeng. - : arXiv, 2019 BASE Show details

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