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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 – 15 of 15 1 Modeling Intensification for Sign Language Generation: A Computational Approach ... İnan, Mert; Zhong, Yang; Hassan, Sabit. - : arXiv, 2022 BASE Show details 2 Including Facial Expressions in Contextual Embeddings for Sign Language Generation ... Viegas, Carla; İnan, Mert; Quandt, Lorna. - : arXiv, 2022 BASE Show details 3 Situated Task-Driven Multimodal Intent Modeling and Applications Kovashka, Adriana; Litman, Diane; Alikhani, Malihe. - 2022 BASE Show details 4 Political Ideology and Polarization of Policy Positions: A Multi-dimensional Approach ... Sinno, Barea; Oviedo, Bernardo; Atwell, Katherine. - : arXiv, 2021 BASE Show details 5 Including Signed Languages in Natural Language Processing ... Yin, Kayo; Moryossef, Amit; Hochgesang, Julie. - : arXiv, 2021 BASE Show details 6 Including Signed Languages in Natural Language Processing ... 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; Alikhani, Malihe; Goldberg, Yoav. - : Underline Science Inc., 2021 BASE Show details 7 COSMic: A Coherence-Aware Generation Metric for Image Descriptions ... İnan, Mert; Sharma, Piyush; Khalid, Baber. - : arXiv, 2021 BASE Show details 8 Entheos: {A} Multimodal Dataset for Studying Enthusiasm ... 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; Alikhani, Malihe; Viegas, Carla. - : Underline Science Inc., 2021 BASE Show details 9 Neural methods for document understanding Abdellatif, Mohamed (author); Elgammal, Ahmed (chair); De Melo, Gerard (member). - 2021 BASE Show details 10 Including Facial Expressions in Contextual Embeddings for Sign Language Generation Viegas, Carla; Inan, Mert; Quandt, Lorna. - 2021 BASE Show details 11 Intention and Attention in Image-Text Presentations: A Coherence Approach Torres, Ilana; Slusarczyk, Kathryn; Alikhani, Malihe... In: Experiments in Linguistic Meaning; Vol 1 (2021); 273-283 ; 2694-1791 (2021) BASE Show details 12 AI2D-RST: a multimodal corpus of 1000 primary school science diagrams [<Journal>] Hiippala, Tuomo Verfasser] DNB Subject Category Language Show details 13 ParsiNLU: A Suite of Language Understanding Challenges for Persian ... Khashabi, Daniel; Cohan, Arman; Shakeri, Siamak; Hosseini, Pedram; Pezeshkpour, Pouya; Alikhani, Malihe; Aminnaseri, Moin; Bitaab, Marzieh; Brahman, Faeze; Ghazarian, Sarik; Gheini, Mozhdeh; Kabiri, Arman; Mahabadi, Rabeeh Karimi; Memarrast, Omid; Mosallanezhad, Ahmadreza; Noury, Erfan; Raji, Shahab; Rasooli, Mohammad Sadegh; Sadeghi, Sepideh; Azer, Erfan Sadeqi; Samghabadi, Niloofar Safi; Shafaei, Mahsa; Sheybani, Saber; Tazarv, Ali; Yaghoobzadeh, Yadollah. - : arXiv, 2020 Abstract: Despite the progress made in recent years in addressing natural language understanding (NLU) challenges, the majority of this progress remains to be concentrated on resource-rich languages like English. This work focuses on Persian language, one of the widely spoken languages in the world, and yet there are few NLU datasets available for this rich language. The availability of high-quality evaluation datasets is a necessity for reliable assessment of the progress on different NLU tasks and domains. We introduce ParsiNLU, the first benchmark in Persian language that includes a range of high-level tasks -- Reading Comprehension, Textual Entailment, etc. These datasets are collected in a multitude of ways, often involving manual annotations by native speakers. This results in over 14.5$k$ new instances across 6 distinct NLU tasks. Besides, we present the first results on state-of-the-art monolingual and multi-lingual pre-trained language-models on this benchmark and compare them with human performance, which ... : To appear on Transactions of the Association for Computational Linguistics (TACL), 2021 ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2012.06154 https://arxiv.org/abs/2012.06154 BASE Hide details 14 Aspectuality Across Genre: A Distributional Semantics Approach ... Kober, Thomas; Alikhani, Malihe; Stone, Matthew. - : arXiv, 2020 BASE Show details 15 Multimodal communication: commonsense, grounding and computation ... Alikhani, Malihe. - : No Publisher Supplied, 2020 BASE Show details

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