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Titlebook: New Frontiers in Artificial Intelligence; JSAI-isAI Internatio Maki Sakamoto,Naoaki Okazaki,Ken Satoh Conference proceedings 2020 The Edito

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31#
發(fā)表于 2025-3-26 21:33:49 | 只看該作者
Towards a Unified, Semantically-Calculable and Anti-lexicalistic Analysis of Various Anaphoric Expre morphological formalisms. Inspired by[.], this paper proposes a substructure internal to NPs which mirrors the verb cartography. This mirroring tree constitutes a stacked continuation which takes all the verbal heads one by one from the bottom to the root of the sentence. The tree can then be broke
32#
發(fā)表于 2025-3-27 02:44:56 | 只看該作者
33#
發(fā)表于 2025-3-27 06:32:22 | 只看該作者
Tying Free Choice in Questions to Distributivityons lead to free choice inferences if the .-phrases’s restrictor is plural and (ii) questions with collective predicates do not lead to uniqueness presuppositions. Such proposals, however, fail to derive the connection between (i-ii) and plurality. We propose a novel analysis in which (i-ii) are der
34#
發(fā)表于 2025-3-27 12:44:10 | 只看該作者
35#
發(fā)表于 2025-3-27 14:08:33 | 只看該作者
36#
發(fā)表于 2025-3-27 17:47:29 | 只看該作者
An Agent-Based Model for Exploring Pension Law and Social Security Policiesough experimentation in a simple and controllable scenario. Experimental results indicate that a constant or increasing population of uniformly distributed ages is not enough to ensure the sustainability of pension systems as backbone of the welfare state. A Web version of model implementation as we
37#
發(fā)表于 2025-3-28 00:15:56 | 只看該作者
38#
發(fā)表于 2025-3-28 02:13:45 | 只看該作者
39#
發(fā)表于 2025-3-28 09:46:24 | 只看該作者
The Effect of Prosody on Veridicality Inferences in Koreantween the positive verbs (. ‘know’, . ‘remember’) and their negative suppletive counterparts (. ‘not know’, . ‘forget’) play an important role in deriving the prosodically-conditioned factivity inferences. In connection with this claim, I propose a new pragmatic principle that governs how alternativ
40#
發(fā)表于 2025-3-28 14:26:20 | 只看該作者
all over the world..The results confirm that our pipeline can quantify correctly the notion of controversy, reaching a ROC AUC score of 0.996 over controversial and non-controversial scores distributions. It outperforms the state-of-the-art approaches, both in terms of accuracy and computational sp
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