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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 4 5 6 7 8 9...150 Hits 81 – 100 of 2.986 81 EnvEdit: Environment Editing for Vision-and-Language Navigation ... Li, Jialu; Tan, Hao; Bansal, Mohit. - : arXiv, 2022 BASE Show details 82 Homepage2Vec: Language-Agnostic Website Embedding and Classification ... Lugeon, Sylvain; Piccardi, Tiziano; West, Robert. - : arXiv, 2022 BASE Show details 83 Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER ... Pandey, Amit; Daw, Swayatta; Pudi, Vikram. - : arXiv, 2022 BASE Show details 84 A new approach to calculating BERTScore for automatic assessment of translation quality ... Vetrov, A. A.; Gorn, E. A.. - : arXiv, 2022 BASE Show details 85 A New Generation of Perspective API: Efficient Multilingual Character-level Transformers ... Lees, Alyssa; Tran, Vinh Q.; Tay, Yi. - : arXiv, 2022 BASE Show details 86 ViWOZ: A Multi-Domain Task-Oriented Dialogue Systems Dataset For Low-resource Language ... Van, Phi Nguyen; Hoang, Tung Cao; Manh, Dung Nguyen. - : arXiv, 2022 BASE Show details 87 EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation ... Xu, Yulin; Yang, Zhen; Meng, Fandong. - : arXiv, 2022 BASE Show details 88 Natural Language Descriptions of Deep Visual Features ... Hernandez, Evan; Schwettmann, Sarah; Bau, David. - : arXiv, 2022 BASE Show details 89 Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data ... Toyoda, Minori; Suzuki, Kanata; Hayashi, Yoshihiko. - : arXiv, 2022 BASE Show details 90 A Feasibility Study of Answer-Agnostic Question Generation for Education ... Dugan, Liam; Miltsakaki, Eleni; Upadhyay, Shriyash. - : arXiv, 2022 BASE Show details 91 Language Generation for Broad-Coverage, Explainable Cognitive Systems ... McShane, Marjorie; Leon, Ivan. - : arXiv, 2022 BASE Show details 92 Cross-view Brain Decoding ... Oota, Subba Reddy; Arora, Jashn; Gupta, Manish. - : arXiv, 2022 BASE Show details 93 Transforming UNL graphs in OWL representations ... Rouquet, David; Bellynck, Valérie; Boitet, Christian. - : arXiv, 2022 BASE Show details 94 Visio-Linguistic Brain Encoding ... Oota, Subba Reddy; Arora, Jashn; Rowtula, Vijay. - : arXiv, 2022 BASE Show details 95 Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency ... van Loon, Austin; Giorgi, Salvatore; Willer, Robb. - : arXiv, 2022 BASE Show details 96 Linguistic communication as (inverse) reward design ... Sumers, Theodore R.; Hawkins, Robert D.; Ho, Mark K.. - : arXiv, 2022 BASE Show details 97 Neural Topic Modeling of Psychotherapy Sessions ... Lin, Baihan; Bouneffouf, Djallel; Cecchi, Guillermo. - : arXiv, 2022 BASE Show details 98 Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics ... Röder, Frank; Eppe, Manfred; Wermter, Stefan. - : arXiv, 2022 BASE Show details 99 Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity ... Hao, Yiding; Angluin, Dana; Frank, Robert. - : arXiv, 2022 BASE Show details 100 Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding ... Chen, Zeming; Gao, Qiyue. - : arXiv, 2022 Abstract: In the age of large transformer language models, linguistic evaluation play an important role in diagnosing models' abilities and limitations on natural language understanding. However, current evaluation methods show some significant shortcomings. In particular, they do not provide insight into how well a language model captures distinct linguistic skills essential for language understanding and reasoning. Thus they fail to effectively map out the aspects of language understanding that remain challenging to existing models, which makes it hard to discover potential limitations in models and datasets. In this paper, we introduce Curriculum as a new format of NLI benchmark for evaluation of broad-coverage linguistic phenomena. Curriculum contains a collection of datasets that covers 36 types of major linguistic phenomena and an evaluation procedure for diagnosing how well a language model captures reasoning skills for distinct types of linguistic phenomena. We show that this linguistic-phenomena-driven ... : Accepted by NAACL 2022 (Main Conference) ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2204.06283 https://arxiv.org/abs/2204.06283 BASE Hide details Page: 1 2 3 4 5 6 7 8 9...150

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