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When to Plummet and When to Soar: Corpus Based Verb Selection for Natural Language Generation.

, , , , , and . INLG, page 36-39. The Association for Computer Linguistics, (2016)

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Explainable Assessment of Healthcare Articles with QA., , , and . BioNLP@ACL, page 1-9. Association for Computational Linguistics, (2022)KILT: a Benchmark for Knowledge Intensive Language Tasks., , , , , , , , , and 3 other author(s). NAACL-HLT, page 2523-2544. Association for Computational Linguistics, (2021)Concept Matching for Low-Resource Classification., , , , , , and . IJCNN, page 1-8. IEEE, (2021)A refreshing perspective of search engine caching., , , , , , and . WWW, page 181-190. ACM, (2010)Information Extraction of Regulatory Enforcement Actions: From Anti-Money Laundering Compliance to Countering Terrorism Finance., and . ASONAM, page 950-953. ACM, (2015)Say the Right Thing Right: Ethics Issues in Natural Language Generation Systems., , , and . EthNLP@EACL, page 103-108. Association for Computational Linguistics, (2017)Ethical by Design: Ethics Best Practices for Natural Language Processing., and . EthNLP@EACL, page 30-40. Association for Computational Linguistics, (2017)Assessing the Coverage of Data Collection Campaigns on Twitter: A Case Study., , and . OTM Workshops, volume 8186 of Lecture Notes in Computer Science, page 598-607. Springer, (2013)How Decoding Strategies Affect the Verifiability of Generated Text., , , , , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 223-235. Association for Computational Linguistics, (2020)ROME 2019: Workshop on Reducing Online Misinformation Exposure., , and . SIGIR, page 1426-1428. ACM, (2019)