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pro vyhledávání: '"lcsh:P98-98.5"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 8, Pp 199-214 (2020)
Humans rarely perform better than chance at lie detection. To better understand human perception of deception, we created a game framework, LieCatcher, to collect ratings of perceived deception using a large corpus of deceptive and truthful interview
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 8, Pp 247-263 (2020)
We describe a method for rapidly creating language proficiency assessments, and provide experimental evidence that such tests can be valid, reliable, and secure. Our approach is the first to use machine learning and natural language processing to ind
Autor:
Hideki Nakayama, Noriki Nishida
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 8, Pp 215-230 (2020)
In this paper, we introduce an unsupervised discourse constituency parsing algorithm. We use Viterbi EM with a margin-based criterion to train a span-based discourse parser in an unsupervised manner. We also propose initialization methods for Viterbi
Publikováno v:
Transactions of the Association for Computational Linguistics
Transactions of the Association for Computational Linguistics, Vol 8, Pp 296-310 (2020)
Transactions of the Association for Computational Linguistics, Vol 8, Pp 296-310 (2020)
We study the influence of context on sentence acceptability. First we compare the acceptability ratings of sentences judged in isolation, with a relevant context, and with an irrelevant context. Our results show that context induces a cognitive load
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 8, Pp 141-155 (2020)
Machine reading comprehension tasks require a machine reader to answer questions relevant to the given document. In this paper, we present the first free-form multiple-Choice Chinese machine reading Comprehension dataset (C^3), containing 13,369 docu
Autor:
Anshu Singla, Chetna Kaushal
Publikováno v:
CAAI Transactions on Intelligence Technology (2020)
Automated segmentation of histopathological images is a challenging task to detect cancerous cells in breast tissue. Recent reviews state high accuracy to segment image, but depends on user input, say window area size, time steps, level set, magnific
Autor:
Ruxiang Liu
Publikováno v:
CAAI Transactions on Intelligence Technology (2020)
Fuzzy set and neutrosophic set are two efficient tools to handle the uncertainties and vagueness of any real-world problems. Neutrosophic set is more useful than fuzzy set (intuitionistic fuzzy sets) to manage the uncertainties of a real-life problem
Publikováno v:
CAAI Transactions on Intelligence Technology (2020)
The unmanned warehouse dispatching system of the ‘goods to people’ model uses a structure mainly based on a handling robot, which saves considerable manpower and improves the efficiency of the warehouse picking operation. However, the optimal per
Autor:
Jian Wei Zhang, Zhen Deng
Publikováno v:
CAAI Transactions on Intelligence Technology (2020)
In-hand manipulation is a fundamental ability for multi-fingered robotic hands that interact with their environments. Owing to the high dimensionality of robotic hands and intermittent contact dynamics, effectively programming a robotic hand for in-h
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 8, Pp 423-438 (2020)
Recent work has presented intriguing results examining the knowledge contained in language models (LM) by having the LM fill in the blanks of prompts such as "Obama is a _ by profession". These prompts are usually manually created, and quite possibly