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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; Panagopoulou, Artemis; Yang, Yue; Yatskar, Mark; Zhang, Li. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.165/ Abstract: Understanding what sequence of steps are needed to complete a goal can help artificial intelligence systems reason about human activities. Past work in NLP has examined the task of goal-step inference for text. We introduce the visual analogue. We propose the Visual Goal-Step Inference (VGSI) task, where a model is given a textual goal and must choose which of four images represents a plausible step towards that goal. With a new dataset harvested from wikiHow consisting of 772,277 images representing human actions, we show that our task is challenging for state-of-the-art multimodal models. Moreover, the multimodal representation learned from our data can be effectively transferred to other datasets like HowTo100m, increasing the VGSI accuracy by 15 - 20%. Our task will facilitate multimodal reasoning about procedural events. ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/z6gp-g111 https://underline.io/lecture/37557-visual-goal-step-inference-using-wikihow BASE Hide 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. - : arXiv, 2019 BASE Show 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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