Seema Nagar
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View article: Domain specific ontologies from Linked Open Data (LOD)
Domain specific ontologies from Linked Open Data (LOD) Open
Logical and probabilistic reasoning tasks that require a deeper knowledge of semantics are increasingly relying on general purpose ontologies such as Wikidata and DBpedia. However, tasks such as entity disambiguation and linking may benefi…
View article: AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data Open
The efficiency of business processes relies on business key performance indicators (Biz-KPIs), that can be negatively impacted by IT failures. Business and IT Observability (BizITObs) data fuses both Biz-KPIs and IT event channels together…
View article: AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data Open
The efficiency of business processes relies on business key performance indicators (Biz-KPIs), that can be negatively impacted by IT failures. Business and IT Observability (BizITObs) data fuses both Biz-KPIs and IT event channels together…
View article: Text Simplification for Comprehension-based Question-Answering
Text Simplification for Comprehension-based Question-Answering Open
Text simplification is the process of splitting and rephrasing a sentence to a sequence of sentences making it easier to read and understand while preserving the content and approximating the original meaning. Text simplification has been …
View article: Affect Classification in Tweets using Multitask Deep Neural Networks
Affect Classification in Tweets using Multitask Deep Neural Networks Open
We propose a multitask deep neural network for detecting affect-retweet pairs for Twitter tweets. Each task given to our network jointly learns a given affect, e.g. hate, sarcasm etc., along with learning retweeting behaviour as an auxilia…
View article: Text Simplification for Comprehension-based Question-Answering
Text Simplification for Comprehension-based Question-Answering Open
Text simplification is the process of splitting and rephrasing a sentence to a sequence of sentences making it easier to read and understand while preserving the content and approximating the original meaning. Text simplification has been …
View article: Automatic Generation of Leveled Visual Assessments for Young Learners
Automatic Generation of Leveled Visual Assessments for Young Learners Open
Images are an essential tool for communicating with children, particularly at younger ages when they are still developing their emergent literacy skills. Hence, assessments that use images to assess their conceptual knowledge and visual li…
View article: AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias Open
Fairness is an increasingly important concern as machine learning models are used to support decision making in high-stakes applications such as mortgage lending, hiring, and prison sentencing. This paper introduces a new open source Pytho…
View article: AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and\n Mitigating Unwanted Algorithmic Bias
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and\n Mitigating Unwanted Algorithmic Bias Open
Fairness is an increasingly important concern as machine learning models are\nused to support decision making in high-stakes applications such as mortgage\nlending, hiring, and prison sentencing. This paper introduces a new open source\nPy…
View article: Automated Test Generation to Detect Individual Discrimination in AI Models
Automated Test Generation to Detect Individual Discrimination in AI Models Open
Dependability on AI models is of utmost importance to ensure full acceptance of the AI systems. One of the key aspects of the dependable AI system is to ensure that all its decisions are fair and not biased towards any individual. In this …
View article: Cognition-Cognizant Sentiment Analysis With Multitask Subjectivity Summarization Based on Annotators' Gaze Behavior
Cognition-Cognizant Sentiment Analysis With Multitask Subjectivity Summarization Based on Annotators' Gaze Behavior Open
For document level sentiment analysis (SA), Subjectivity Extraction, ie., extracting the relevant subjective portions of the text that cover the overall sentiment expressed in the document, is an important step. Subjectivity Extraction, ho…
View article: Scanpath Complexity: Modeling Reading Effort Using Gaze Information
Scanpath Complexity: Modeling Reading Effort Using Gaze Information Open
Measuring reading effort is useful for practical purposes such as designing learning material and personalizing text comprehension environment. We propose a quantification of reading effort by measuring the complexity of eye-movement patte…
View article: Harnessing Cognitive Features for Sarcasm Detection
Harnessing Cognitive Features for Sarcasm Detection Open
In this paper, we propose a novel mechanism for enriching the feature vector, for the task of sarcasm detection, with cognitive features extracted from eye-movement patterns of human readers. Sarcasm detection has been a challenging resear…
View article: Harnessing Cognitive Features for Sarcasm Detection
Harnessing Cognitive Features for Sarcasm Detection Open
In this paper, we propose a novel mechanism for enriching the feature vector, for the task of sarcasm detection, with cognitive features extracted from eye-movement patterns of human readers.Sarcasm detection has been a challenging researc…
View article: Leveraging Cognitive Features for Sentiment Analysis
Leveraging Cognitive Features for Sentiment Analysis Open
Sentiments expressed in user-generated short text and sentences are nuanced by subtleties at lexical, syntactic, semantic and pragmatic levels. To address this, we propose to augment traditional features used for sentiment analysis and sar…