245 research outputs found
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints
Text generation from a knowledge base aims to translate knowledge triples to
natural language descriptions. Most existing methods ignore the faithfulness
between a generated text description and the original table, leading to
generated information that goes beyond the content of the table. In this paper,
for the first time, we propose a novel Transformer-based generation framework
to achieve the goal. The core techniques in our method to enforce faithfulness
include a new table-text optimal-transport matching loss and a table-text
embedding similarity loss based on the Transformer model. Furthermore, to
evaluate faithfulness, we propose a new automatic metric specialized to the
table-to-text generation problem. We also provide detailed analysis on each
component of our model in our experiments. Automatic and human evaluations show
that our framework can significantly outperform state-of-the-art by a large
margin.Comment: Accepted at ACL202
Ischemia-Induced Apoptosis of Intestinal Epithelial Cells Correlates with Altered Integrin Distribution and Disassembly of F-Actin Triggered by Calcium Overload
The present study examined intestinal epithelial cell (IEC) integrin distribution and disassembly of actin cytoskeleton in response to ischemia-anoxia. Protective effects of calcium channel blocker(CCB) were further examined to explore underlying mechanisms of cellular injury. Materials and Methods. Primary cultures of rat IECs and an in vitro model of ischemia/anoxia were established. IECs were exposed to ischemia/anoxia in the presence and absence of verapamil. The extent of exfoliation was determined using light microscopy while apoptosis rate was measured using flow cytometry. Changes in intracellular calcium, the distribution of integrins and the morphology of F-actin were assessed by confocal microscopy. Results. Detachment and apoptosis of IECs increased following ischemia/anoxia-induced injury. Treatment with verapamil inhibited the detachment and apoptosis. Under control conditions, the strongest fluorescent staining for integrins appeared on the basal surface of IECs while this re-distributed to the apical membrane in response to ischemic injury. Depolymerization of F-actin was also observed in the injured cells. Verapamil attenuated both changes of integrins and F-actin. Conclusions. Redistribution of integrins and disruption of F-actin under ischemia/anoxia injury is associated with IEC detachment and increased apoptosis. These events appeared to be triggered by an increase in Ca2+i suggesting a potential use for CCB in prevention and treatment of intestinal injury
MIRACLE: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control
Personalized dialogue systems aim to endow the chatbot agent with more
anthropomorphic traits for human-like interactions. Previous approaches have
explored explicitly user profile modeling using text descriptions, implicit
derivation of user embeddings, or utilizing handicraft prompts for ChatGPT-like
models. However, textual personas are limited in describing multi-faceted
attributes (\emph{e.g.}, \emph{language style, inner character nuances}),
implicit embedding suffers from personality sparsity, and handicraft prompts
lack fine-grained and stable controllability. Hence, these approaches may
struggle with complex personalized dialogue generation tasks that require
generating controllable responses with multiple personal attributes. To this
end, we propose \textbf{\textsc{Miracle}}, a novel personalized dialogue
generation method through \textbf{M}ult\textbf{I}ple Pe\textbf{R}sonal
\textbf{A}ttributes \textbf{C}ontrol within \textbf{L}atent-Space
\textbf{E}nergy-based Models. ttributes \textbf{C}ontrol within
\textbf{L}atent-Space \textbf{E}nergy-based Models. Specifically, our approach
first disentangles complex personality into multi-faceted attributes.
Subsequently, we employ a conditional variational auto-encoder to align with
the dense personalized responses within a latent joint attribute space. We have
also tailored a dedicated energy function and customized the ordinary
differential equations sampling method to offer flexible attribute composition
and precise attribute control. Extensive experiments demonstrate that
\textsc{Miracle} outperforms several strong baselines in terms of personality
controllability and response generation quality. Our dataset and code are
available at \url{https://github.com/LZY-the-boys/MIRACLE}Comment: Accepted by EMNLP2023 finding
A Comprehensive Research of Atmospheric Haze by Optical Remote Sensing in Central China Region (CCR)
Marine Ecological Disasters and Their Physical Controlling Mechanisms in Jiangsu Coastal Area
The studies in this chapter are focused on marine ecological disasters in Jiangsu coastal area. Three kinds of algal blooms occurred in this region, namely, red tide associated with Dinoflagellate, green tide associated with Ulvaprolifera and golden tide associated with Sargassum. Numerical model results demonstrated that red tides in Haizhou Bay originated locally, because most of Dinoflagellates near Zhoushan Islands would be transported northeastward by the Changjiang diluted water, and even the lucky ones that entered the south of Jiangsu coastal area would die in the Subei Shoal due to high turbidity there. Due to the Changjiang diluted water and the prevailing southerly wind, Ulvaprolifera could not drift southward, either. Seawater with high turbidity in the Subei Shoal limited sunlight penetration into deep water column, and further inhibited the growth of Ulvaprolifera suspending in the water column. In this chapter, we use drift bottles and satellite-tracked Argos drifters to provide solid direct dynamic evidence that Ulvaprolifera could drift from the Subei Shoal to Qingdao coastal area and even further north. The sand ridges limited the traveling path of Ulvaprolifera in the Subei Shoal, and wind-driven currents and other baroclinic processes helped Ulvaprolifera travel farther to the north
New Treatment of Strongly Anisotropic Scattering Phase Functions: The Delta-M+ Method
The treatment of strongly anisotropic scattering phase functions is still a challenge for accurate radiance computations. The new delta-M+ method resolves this problem by introducing a reliable, fast, accurate, and easy-to-use Legendre expansion of the scattering phase function with modified moments. Delta-M+ is an upgrade of the widely used delta-M method that truncates the forward scattering peak with a Dirac delta function, where the + symbol indicates that it essentially matches moments beyond the first M terms. Compared with the original delta-M method, delta-M+ has the same computational efficiency, but for radiance computations, the accuracy and stability have been increased dramatically
- …