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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 Page: 1 2 3 Hits 1 – 20 of 54 1 A Feasibility Study of Answer-Agnostic Question Generation for Education ... Dugan, Liam; Miltsakaki, Eleni; Upadhyay, Shriyash. - : arXiv, 2022 BASE Show details 2 BiSECT: Learning to Split and Rephrase Sentences with Bitexts ... Kim, Joongwon; Maddela, Mounica; Kriz, Reno. - : arXiv, 2021 BASE Show details 3 "Wikily" Supervised Neural Translation Tailored to Cross-Lingual Tasks ... Rasooli, Mohammad Sadegh; Callison-Burch, Chris; Wijaya, Derry Tanti. - : arXiv, 2021 BASE Show details 4 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 5 Goal-Oriented Script Construction ... Lyu, Qing; Zhang, Li; Callison-Burch, Chris. - : arXiv, 2021 BASE Show details 6 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 7 Wikily Supervised Neural Translation Tailored to Cross-Lingual Tasks ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Callison-Burch, Chris; Rasooli, Mohammad Sadegh. - : Underline Science Inc., 2021 BASE Show details 8 BUSINESS MEETING ... 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; Bender, Emily M.; Callison-Burch, Chris. - : Underline Science Inc., 2021 BASE Show details 9 BiSECT: Learning to Split and Rephrase Sentences with Bitexts ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Callison-Burch, Chris; Kim, Joongwon. - : Underline Science Inc., 2021 BASE Show details 10 Resolving pronouns in Twitter streams: context can help! Wijaya, Derry Tanti; Andy, Anietie; Callison-Burch, Chris. - : Association for Computational Linguistics, 2020 BASE Show details 11 Intent Detection with WikiHow ... Zhang, Li; Lyu, Qing; Callison-Burch, Chris. - : arXiv, 2020 BASE Show details 12 Resolving Pronouns in Twitter Streams: Context can Help! ... The 28th International Conference on Computational Linguistics 2020; Andy, Anietie; Callison-Burch, Chris. - : Underline Science Inc., 2020 BASE Show details 13 Artificial Intelligence in mental health and the biases of language based models Straw, Isabel; Callison-Burch, Chris In: PLoS One (2020) BASE Show details 14 Winter is here: summarizing Twitter streams related to pre-scheduled events Andy, Anietie; Wijaya, Derry Tanti; Callison-Burch, Chris. - : Association for Computational Linguistics, 2019 BASE Show details 15 Bilingual is At Least Monolingual (BALM): A Novel Translation Algorithm that Encodes Monolingual Priors ... Cheng, Jeffrey; Callison-Burch, Chris. - : arXiv, 2019 BASE Show details 16 Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims ... Chen, Sihao; Khashabi, Daniel; Yin, Wenpeng. - : arXiv, 2019 BASE Show details 17 Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification ... Kriz, Reno; Sedoc, João; Apidianaki, Marianna. - : arXiv, 2019 BASE Show details 18 Comparison of Diverse Decoding Methods from Conditional Language Models ... Ippolito, Daphne; Kriz, Reno; Kustikova, Maria; Sedoc, João; Callison-Burch, Chris. - : arXiv, 2019 Abstract: While conditional language models have greatly improved in their ability to output high-quality natural language, many NLP applications benefit from being able to generate a diverse set of candidate sequences. Diverse decoding strategies aim to, within a given-sized candidate list, cover as much of the space of high-quality outputs as possible, leading to improvements for tasks that re-rank and combine candidate outputs. Standard decoding methods, such as beam search, optimize for generating high likelihood sequences rather than diverse ones, though recent work has focused on increasing diversity in these methods. In this work, we perform an extensive survey of decoding-time strategies for generating diverse outputs from conditional language models. We also show how diversity can be improved without sacrificing quality by over-sampling additional candidates, then filtering to the desired number. ... : 11 pages, Association of Computational Linguistics (ACL 2019) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1906.06362 https://arxiv.org/abs/1906.06362 BASE Hide details 19 Paraphrase-Sense-Tagged Sentences Cocos, Anne; Callison-Burch, Chris In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 714-728 (2019) (2019) BASE Show details 20 Learning translations via images with a massively multilingual image dataset Callison-Burch, Chris; Wijaya, Derry; Kriz, Reno. - : Association for Computational Linguistics, 2018 BASE Show details Page: 1 2 3

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