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open access

Location Estimation and Geo-Correlated Information Trends

Description: A tremendous amount of information is being shared every day on social media sites such as Facebook, Twitter or Google+. However, only a small portion of users provide their location information, which can be helpful in targeted advertising and many other services. Current methods in location estimation using social relationships consider social friendship as a simple binary relationship. However, social closeness between users and structure of friends have strong implications on geographic dis… more
Date: December 2017
Creator: Liu, Zhi
Partner: UNT Libraries
open access

Evaluation Techniques and Graph-Based Algorithms for Automatic Summarization and Keyphrase Extraction

Description: Automatic text summarization and keyphrase extraction are two interesting areas of research which extend along natural language processing and information retrieval. They have recently become very popular because of their wide applicability. Devising generic techniques for these tasks is challenging due to several issues. Yet we have a good number of intelligent systems performing the tasks. As different systems are designed with different perspectives, evaluating their performances with a gene… more
Date: August 2016
Creator: Hamid, Fahmida
Partner: UNT Libraries
open access

Toward Supporting Fine-Grained, Structured, Meaningful and Engaging Feedback in Educational Applications

Description: Recent advancements in machine learning have started to put their mark on educational technology. Technology is evolving fast and, as people adopt it, schools and universities must also keep up (nearly 70% of primary and secondary schools in the UK are now using tablets for various purposes). As these numbers are likely going to follow the same increasing trend, it is imperative for schools to adapt and benefit from the advantages offered by technology: real-time processing of data, availabilit… more
Date: December 2018
Creator: Bulgarov, Florin Adrian
Partner: UNT Libraries
open access

Towards Resistance Detection in Health Behavior Change Dialogue Systems

Description: One of the challenges fairly common in motivational interviewing is patient resistance to health behavior change. Hence, automated dialog systems aimed at counseling patients need to be capable of detecting resistance and appropriately altering dialog. This thesis focusses primarily on the development of such a system for automatic identification of patient resistance to behavioral change. This enables the dialogue system to direct the discourse towards a more agreeable ground and helping the p… more
Date: August 2015
Creator: Sarma, Bandita
Partner: UNT Libraries

Countering Hate Speech: Modeling User-Generated Web Content Using Natural Language Processing

Description: Social media is considered a particularly conducive arena for hate speech. Counter speech, which is a "direct response that counters hate speech" is a remedy to address hate speech. Unlike content moderation, counter speech does not interfere with the principle of free and open public spaces for debate. This dissertation focuses on the (a) automatic detection and (b) analyses of the effectiveness of counter speech and its fine-grained strategies in user-generated web content. The first goal is … more
This item is restricted from view until August 1, 2025.
Date: July 2023
Creator: Yu, Xinchen
Partner: UNT Libraries

Deep Learning Methods to Investigate Online Hate Speech and Counterhate Replies to Mitigate Hateful Content

Description: Hateful content and offensive language are commonplace on social media platforms. Many surveys prove that high percentages of social media users experience online harassment. Previous efforts have been made to detect and remove online hate content automatically. However, removing users' content restricts free speech. A complementary strategy to address hateful content that does not interfere with free speech is to counter the hate with new content to divert the discourse away from the hate. In … more
This item is restricted from view until June 1, 2025.
Date: May 2023
Creator: Albanyan, Abdullah Abdulaziz
Partner: UNT Libraries
open access

WikiPossessions: Possession Timeline Generation as an Evaluation Benchmark for Machine Reading Comprehension of Long Texts

Description: Article presents WikiPossessions, a new benchmark corpus for the task of temporally-oriented possession (TOP), or tracking objects as they change hands over time. In addition to the corpus, the authors release evaluation scripts and a baseline model for the task.
Date: May 2020
Creator: Blanco, Eduardo; Palmer, Alexis & Chinnappa, Dhivya
Partner: University of North Texas
open access

Paradigm Shift from Vague Legal Contracts to Blockchain-Based Smart Contracts

Description: In this dissertation, we address the problem of vagueness in traditional legal contracts by presenting novel methodologies that aid in the paradigm shift from traditional legal contracts to smart contracts. We discuss key enabling technologies that assist in converting the traditional natural language legal contract, which is full of vague words, phrases, and sentences to the blockchain-based precise smart contract, including metrics evaluation during our conversion experiment. To address the c… more
Date: July 2023
Creator: Upadhyay, Kritagya Raj
Partner: UNT Libraries
open access

Automated extraction of attributes from natural language attribute-based access control (ABAC) Policies

Description: Article (1) developing a practical framework to extract authorization attributes of hierarchical ABAC system from natural language artifacts, and (2) generating a set of realistic synthetic natural language access control policies (NLACPs) to evaluate the proposed framework.
Date: January 21, 2019
Creator: Alohaly, Manar; Takabi, Hassan & Blanco, Eduardo
Partner: UNT College of Engineering
open access

A Corpus of Negations and their Underlying Positive Interpretations

Description: Article presenting a corpus of negations and their underlying positive interpretations using negations from Simple Wikipedia, automatically generating potential positive interpretations, and collecting manual annotations that effectively rewrite the negation in positive terms. This article was presented at the Eighth Joint Conference on Lexical and Computational Semantics (SEM 2019) in Minneapolis, Minnesota, June 6-7, 2019.
Date: June 2019
Creator: Sarabi, Zahra; Killian, Erin; Blanco, Eduardo & Palmer, Alexis
Partner: University of North Texas
open access

Annotating If Authors of Tweets are Located in the Locations They Tweet About

Description: Article presented at the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). The study investigates spatial information of tweets whereby the authors present a corpus of tweets annotated with temporally-anchored spatial information involving the author.
Date: May 2018
Creator: Doudagiri, Vivek; Vempala, Alakananda & Blanco, Eduardo
Partner: UNT College of Engineering
open access

It’s not a Non-Issue: Negation as a Source of Error in Machine Translation

Description: Article investigates whether translating negation is an issue for modern MT systems using 17 translation directions as test bed and provides a linguistically motivated analysis that explains the majority of the findings. The authors release their annotations and code to replicate analysis here: https://github.com/mosharafhossain/negation-mt.
Date: November 2020
Creator: Hossain, Md Mosharaf; Blanco, Eduardo; Palmer, Alexis & Anastasopoulos, Antonios
Partner: University of North Texas
open access

An Analysis of Natural Language Inference Benchmarks through the Lens of Negation

Description: Article presents a new benchmark for natural language inference in which negation plays a critical role and shows that state-of-the-art transformers struggle making inference judgments with the new pairs.
Date: November 2020
Creator: Hossain, Md Mosharaf; Dutta, Pranoy; Kao, Tiffany; Wei, Elizabeth; Blanco, Eduardo & Kovatchev, Venelin
Partner: UNT College of Engineering
open access

Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success

Description: Article studies the communication styles present in chat interactions of thousands of aspiring entrepreneurs who discuss and develop business models. The authors find that these styles can be reliably predicted, and that the communication styles can be used to predict a number of indices of business success.
Date: November 2020
Creator: Rashid, Farzana; Blanco, Eduardo; Fornaciari, Tommaso; Hovy, Dirk & Vega-Redondo, Fernando
Partner: UNT College of Engineering
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