Towards Realistic Single-Task Continuous Learning Research for NER

There is an increasing interest in continuous learning (CL), as data privacy is becoming a priority for real-world machine learning applications. Meanwhile, there is still a lack of academic NLP benchmarks that are applicable for realistic CL settings, which is a major challenge for the advancement of the field. In this paper we discuss some of the unrealistic data characteristics of public datasets, study the challenges of realistic single-task continuous learning as well as the effectiveness of data rehearsal as a way to mitigate accuracy loss. We construct a CL NER dataset from an existing publicly available dataset and release it along with the code to the research community.

Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments

In the Vision-and-Language Navigation (VLN) task an embodied agent navigates a 3D environment, following natural language instructions. A challenge in this task is how to handle off the path' scenarios where an agent veers from a reference path. Prior work supervises the agent with actions based on the shortest path from the agent's location to the goal, but such goal-oriented supervision is often not in alignment with the instruction. Furthermore, the evaluation metrics employed by prior work do not measure how much of a language instruction the agent is able to follow. In this work, we propose a simple and effective language-aligned supervision scheme, and a new metric that measures the number of sub-instructions the agent has completed during navigation.

ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension

Supervised systems have nowadays become the standard recipe for Word Sense Disambiguation (WSD), with Transformer-based language models as their primary ingredient. However, while these systems have certainly attained unprecedented performances, virtually all of them operate under the constraining assumption that, given a context, each word can be disambiguated individually with no account of the other sense choices. To address this limitation and drop this assumption, we propose CONtinuous SEnse Comprehension (ConSeC), a novel approach to WSD: leveraging a recent re-framing of this task as a text extraction problem, we adapt it to our formulation and introduce a feedback loop strategy that allows the disambiguation of a target word to be conditioned not only on its context but also on the explicit senses assigned to nearby words. We evaluate ConSeC and examine how its components lead it to surpass all its competitors and set a new state of the art on English WSD. We also explore how ConSeC fares in the cross-lingual setting, focusing on 8 languages with various degrees of resource availability, and report significant improvements over prior systems. We release our code at https://github.com/SapienzaNLP/consec.

Towards Continuous Estimation of Dissatisfaction in Spoken Dialog

We collected a corpus of human-human task-oriented dialogs rich in dissatisfaction and built a model that used prosodic features to predict when the user was likely dissatisfied. For utterances this attained a F.25 score of 0.62,against a baseline of 0.39. Based on qualitative observations and failure analysis, we discuss likely ways to improve this result to make it have practical utility.

studying The random variables according to Neutrosophic logic

We present in this paper the neutrosophic randomized variables, which are a generalization of the classical random variables obtained from the application of the neutrosophic logic (a new nonclassical logic which was founded by the American philosopher and mathematical Florentin Smarandache, which he introduced as a generalization of fuzzy logic especially the intuitionistic fuzzy logic ) on classical random variables.

Building And Evaluating Digital Elevation Models (Dem) Byusing Geographic Information System

This research aimed for using Geographic Information System (GIS) in producing Digital Elevation Model (DEM) for Dimas District, By applying various methods: Spatial Analyst, Geo Statistical Analyst, Triangulated Irregular Network (TIN), and interpolating DEM from contour lines. The study showed that the best methods for interpolating DEM is Kriging method, Which interpolated an evaluated surface for scattered points which had (Z values) whether they were closed or scattered from each other. And (TIN) method which required less area on hard disc to be stored comparing with other methods, and it's perfect for representing surfaces in wide areas, Also generating DEM from contour lines produced DEM which had very accurate representing for surfaces.

The effect of relationship conflict in the organizational commitment of Members of the academic staff at Tishreen University

This study discusses the effect of relationship conflict in the organizational commitment of the academic staff at Tishreen University and, accordingly, this research aims to determine the degree of influence of relationship conflict in the organizational commitment level, Determine the effect of demographic variables (gender, experience, age) in the relationship conflict among them. The researcher adopted the descriptive analytical approach in conducting the search. The sample consisted of search (290) of Members of the academic staff at the University of Tishreen.

Necessary and Sufficient Conditions for the Constants of the First and Second Degree Continuous Probability Density Function

We offer in this research study of the probability density function of a continuous random variable. Where we have to reached to results that show the oneness of the general shape of this function when it is linear or quadratic, as we came up to the general formula for this function for each of the above two cases. It was clarified the necessary and sufficient conditions of a linear and quadratic function to be, a continuous probability density function.

Controllability and Observerability of Linear Continuous-Time Systems

In this research, we investigate a problem of controllable and observerable for linear Continuous-time systems. We have founded controllable and observerable conditions for the linear continuous-time system. Moreover, we put out a new algorithm for finding control vector of steps that can enable us to move the state vector from the initial stage x(0) into the final onex(tf) for finite time tf>0, the theoretical results is illustrated by an example. Finally,we put program to plot trajectory of state vector x(t) and observer vector y(t)

Effect of Continuous Casting Temperature & Speed Cooling on the Quality of Aluminum Alloy 6063 at Hot Forming

Aluminum Alloy 6063 is used widely in extrusion industry for building and automobile applications. Aluminum billet is manufactured usually by vertical continuous casting technique and direct water cooling. 5 different casting temperatures 660, 680, 700, 720, 740Cº, besides 5 different casting speeds 100, 112, 125, 138, 150 mm/min to control cool water feeding are chosen. It has noticed that the increase of casting temperature and decreasing of casting speed has a good effect on improving billet quality which contribute later on improving the hardness and mechanical properties of extruded aluminum profiles.