59 research outputs found
IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection
The task of response selection in multi-turn dialogue is to find the best
option from all candidates. In order to improve the reasoning ability of the
model, previous studies pay more attention to using explicit algorithms to
model the dependencies between utterances, which are deterministic, limited and
inflexible. In addition, few studies consider differences between the options
before and after reasoning. In this paper, we propose an Implicit Relational
Reasoning Graph Network to address these issues, which consists of the
Utterance Relational Reasoner (URR) and the Option Dual Comparator (ODC). URR
aims to implicitly extract dependencies between utterances, as well as
utterances and options, and make reasoning with relational graph convolutional
networks. ODC focuses on perceiving the difference between the options through
dual comparison, which can eliminate the interference of the noise options.
Experimental results on two multi-turn dialogue reasoning benchmark datasets
MuTual and MuTual+ show that our method significantly improves the baseline of
four pretrained language models and achieves state-of-the-art performance. The
model surpasses human performance for the first time on the MuTual dataset.Comment: Accepted by EMNLP 202
Delayed Effect of Anisaldehyde on Feeding Behavior and Reproduction of Adult Aedes albopictus (Diptera: Culicidae) 1
ABSTRACT Anisaldehyde may be useful as a spatial repellent against Aedes albopictus, and it could play a major role in new repellent technology for mosquito management. This study characterized the delayed effects of anisaldehyde on Ae. albopictus adult host-seeking behavior, feeding behavior, and reproduction. Anisaldehyde was applied as a fumigant (0.25 mg/cm 3 ) during different developmental stages of the mosquito (larvae from 1 st instar to pupation, larvae from 1 st instar to adult emergence, pupae, and two-day-old adults). Except when treated as pupae, the resulting adult females (at 5 days of age) exhibited significantly lower host-seeking capability and lower repeated-feeding rates than untreated females. Anisaldehyde treatments also significantly reduced the number of eggs and hatchability, and this chemical prolonged the gonotrophic cycle and egg development. These results showed that anisaldehyde acted as a spatial repellent, where it not only reduced hostseeking capability, but also greatly reduced vectoring capacity and reproduction potential, which is significant for mosquito control and disease prevention
- …