Browsing Library by Author "Li, Chengkai"
Now showing items 1-20 of 26
-
A Probabilistic Approach to Crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons
Shakya, Nigesh; 0000-0003-0877-3705This is an extended study on crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons. The prior study on the same topic demonstrate the framework and algorithms used to determine all the Pareto-Optimal objects ... -
Automatic discovery of significant events from databases
Bharadwaj, Avinash Shankar (Computer Science & Engineering, 2012-04-11)The advent of the internet has caused enormous amounts of data available online causing many significant facts to be hidden within this data. Searching for a significant fact within these large datasets is a query intensive ... -
ClaimPortal: Building a Social Media Analytics System for Assisting Fact-Checking
Majithia, Sarthak; 0000-0002-9295-9491 (2019-05-14)We are in a digital era where claims made by people can attract attention and spread like wildfire. Misinformation and disinformation about important social and political issues can be intentional and motive can be malicious. ... -
Classification of Factual and Non-Factual Statements Using Adversarially Trained LSTM Networks
Obembe, Daniel; 0000-0001-9890-4208 (2020-06-08)Being able to determine which statements are factual and therefore likely candidates for further verification is a key value-add in any automated fact-checking system. For this task, it has been shown that LSTMs outperform ... -
COMPARISON OF MACHINE LEARNING ALGORITHMS IN SUGGESTING CANDIDATE EDGES TO CONSTRUCT A QUERY ON HETEROGENEOUS GRAPHS
Bhoopalam, Rohit Ravi Kumar; 0000-0003-4561-6557 (2016-05-11)Querying graph data can be difficult as it requires the user to have knowledge of the underlying schema and the query language. Visual query builders allow users to formulate the intended query by drawing nodes and edges ... -
Crowdsourcing for Decision Making with Analytic Hierarchy Process
Timilsina, IshworAnalytic Hierarchy Process (AHP) is a Multiple-Criteria Decision-Making MCDM) technique devised by Thomas L. Saaty. In AHP, all the pairwise comparisons between criteria and alternatives in terms of each criterion are used ... -
DEEP LEARNING FOR PROTEIN PROPERTY AND STRUCTURE PREDICTION
Guo, Yuzhi; 0000-0002-8993-1818 (2022-08-15)I present my work towards solving the fundamental, challenging, and valuable problem for protein property and structure prediction. Specifically, I focus on solving the problem from three critical aspects: (1) designing ... -
Detecting Real-time Check-worthy Factual Claims in Tweets Related to U.S. Politics
Dogan, Fatma; 0000-0003-0489-9300 (2015-12-07)In increasing democracy and improving political discourse, political fact-checking has come to be a necessity. While politicians make claims about facts all the time, journalists and fact-checkers oftentimes reveal them ... -
EFFICIENT EVALUATION OF CONTEXTUAL AND REVERSE PARETO-OPTIMALITY QUERIES
Sultana, Afroza; 0000-0003-1954-8431 (2019-07-15)Many real-world applications analyze data to find objects that ``stand out'' with regard to various contexts and ways of valuing the objects. Examples of such application scenarios include vendors recommending products to ... -
Efficient Processing Of Set Queries Using Bitmap Index
Safiullah, Muhammad Assad (Computer Science & Engineering, 2008-09-17)Growing complexity of enterprise-wide data and business processes necessitates the efficiency of complex decision support set queries. However, contemporary DBMS remain unsuccessful in handling set queries efficiently. In ... -
Enhancing Health Tweet Classification: An evaluation of Transformer-based models for Comprehensive Analysis
Patel, Foram Pankajbhai; 0000-0001-5977-3188 (2023-05-10)The task of health tweet classification entails identifying whether a given tweet is health-related or not. While existing research in this area has made significant progress in classifying tweets into specific sub-domains ... -
EVALUATION OF A FACTUAL CLAIM CLASSIFIER WITH AND WITHOUT USING ENTITIES AS FEATURES
Syed, Abu Ayub Ansari (2017-08-14)Fact-checking in real-time for events such as presidential debates is a challenging task. These fact-checking processes have a difficult and rigorous task in having the best accuracy in classifying facts, finding topics, ... -
Finding Representative Entities From Entity Graph By Using Neighborhood Based Entity Similarity
Shingavi, Ankit Anil (2018-09-17)Several applications deploy the use of large entity graphs. Given the entirety of its application scope, it is challenging to select a single entity graph for a particular need from numerous data sources. For a comprehensible ... -
FrameAnnotator - A Web-Based Frame Semantic Annotation Tool
Roy, Sarbajit; 0000-0001-8879-1641 (2019-05-14)News headlines around the world are alarming. They aim to trigger emotional responses from the consumer. In an era where news and social media posts spread so quickly, it is often difficult to distinguish between what is ... -
FRAMEWORKS, ALGORITHMS, AND SYSTEMS FOR EFFICIENT DISCOVERY OF DATA-BACKED FACTS
Zhang, Gensheng; 0000-0002-9936-4407 (2017-12-07)This thesis studies the problem of finding facts from semi-structured and structured data. The amount of data in our world is exploding, and the proliferation of data is making them increasingly inaccessible. It is now ... -
Linking Entity Profiles
Venkataraman, Ramesh (Computer Science & Engineering, 2014-09-17)Entity linking allows one to have collections of data from multiple sources as a global dataset and then query those data. Entity linking allows us to do knowledge discovery on this global dataset which might result in the ... -
Maximizing Code Coverage in Database Applications
Chandwani, Tulsi (2017-12-07)A database application takes input as user-defined queries and determines the program logic to be executed based on the results returned by the queries. A change in existing application or a new application is expected ... -
Measuring Named Entity Similarity Through Wikipedia Category Hierarchies
Ashman, Jared M. (Computer Science & Engineering, 2011-03-03)Identifying the semantic similarity between named entities has many applications in NLP, including information extraction and retrieval, word sense disambiguation, text summarization and type classification. Similarity ... -
MODELING FACTUAL CLAIMS WITH SEMANTIC FRAMES: DEFINITIONS, DATASETS, TOOLS, AND FACT-CHECKING APPLICATIONS
Arslan, Fatma; 0000-0002-2386-9951 (2021-08-26)As social media sites have become major channels for the quick dissemination of news, misinformation has become a significant challenge for our society to tackle. Today fact-checking rests primarily on the shoulders of ... -
Novel Methods For Entity-centric Information Exploration
Yan, NingWe witness an unprecedented proliferation of entity graphs that capture entities (e.g., persons, products, organizations) and their relationships. Such entity data gradually evolves into the most comprehensive knowledge ...