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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 – 5 of 5 1 Is "my favorite new movie" my favorite movie? Probing the Understanding of Recursive Noun Phrases ... Lyu, Qing; Zheng, Hua; Li, Daoxin. - : arXiv, 2021 BASE Show details 2 Goal-Oriented Script Construction ... Lyu, Qing; Zhang, Li; Callison-Burch, Chris. - : arXiv, 2021 BASE Show details 3 Visual Goal-Step Inference using wikiHow ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Callison-Burch, Chris; Lyu, Qing. - : Underline Science Inc., 2021 BASE Show details 4 Zero-shot Event Extraction via Transfer Learning: Challenges and Insights ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Lyu, Qing; Roth, Dan; Sulem, Elior; Zhang, Hongming. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-short.42 Abstract: Event extraction has long been a challenging task, addressed mostly with supervised methods that require expensive annotation and are not extensible to new event ontologies. In this work, we explore the possibility of zero-shot event extraction by formulating it as a set of Textual Entailment (TE) and/or Question Answering (QA) queries (e.g. "A city was attacked" entails "There is an attack"), exploiting pretrained TE/QA models for direct transfer. On ACE-2005 and ERE, our system achieves acceptable results, yet there is still a large gap from supervised approaches, showing that current QA and TE technologies fail in transferring to a different domain. To investigate the reasons behind the gap, we analyze the remaining key challenges, their respective impact, and possible improvement directions. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://dx.doi.org/10.48448/3snf-wq75 https://underline.io/lecture/25455-zero-shot-event-extraction-via-transfer-learning-challenges-and-insights BASE Hide details 5 Intent Detection with WikiHow ... Zhang, Li; Lyu, Qing; Callison-Burch, Chris. - : arXiv, 2020 BASE Show details

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