Episodic Logic: Unscoped Logical Form'' (EL-ULF) is a semantic representation capturing predicate-argument structure as well as more challenging aspects of language within the Episodic Logic formalism. We present the first learned approach for parsin
g sentences into ULFs, using a growing set of annotated examples. The results provide a strong baseline for future improvement. Our method learns a sequence-to-sequence model for predicting the transition action sequence within a modified cache transition system. We evaluate the efficacy of type grammar-based constraints, a word-to-symbol lexicon, and transition system state features in this task. Our system is available at https://github.com/genelkim/ulf-transition-parser. We also present the first official annotated ULF dataset at https://www.cs.rochester.edu/u/gkim21/ulf/resources/.
While Yu and Poesio (2020) have recently demonstrated the superiority of their neural multi-task learning (MTL) model to rule-based approaches for bridging anaphora resolution, there is little understanding of (1) how it is better than the rule-based
approaches (e.g., are the two approaches making similar or complementary mistakes?) and (2) what should be improved. To shed light on these issues, we (1) propose a hybrid rule-based and MTL approach that would enable a better understanding of their comparative strengths and weaknesses; and (2) perform a manual analysis of the errors made by the MTL model.
This research aims to design
an effective system for detection of various known and unknown intrusion and
snooping operations which are SCADA systems exposed to, depending on the
idea of Markov Chains and the concept of probability windows.
In order to keep up with the latest international technologies which have been achieved recently.
We have to search continuously for the technological methods in order to improve the present situation of the institutions in the Syrian Arab Republic.
This research aims to build a network of Programmable Logic
Controllers (PLCs) with Human Machine Interface (HMI) and
supervisory control and data acquisition (SCADA) system, as well as, studying the most suitable protocols to build the network beside identifying the causes of choosing the protocol.
After studying and identifying it, we had better to use the
automated industrial network to improve the present situation of water company concerning with getting meters data accurately as fast as possible.
We build the mentioned network by means of a group of PLCs, so that, each one could be used to get the data for an avenue in Hama city.
These distributed controllers would be connected by a central
router in order to pass all the data to the water company center. We will use a HMI and SCADA system for showing collected data, controlling, and saving the collected data.
This HMI and SCADA system will be connected to the same
PLCs, and thus, we will get a distributed industrial network.
