Now showing items 1-10 of 10

    • Affective Sentiment and Emotional Analysis of Pull Request Comments on GitHub 

      Rishi, Deepak (University of Waterloo, 2017-12-15)
      Sentiment and emotional analysis on online collaborative software development forums can be very useful to gain important insights into the behaviors and personalities of the developers. Such information can later on be ...
    • Crawling, Collecting, and Condensing News Comments 

      Gobaan, Raveendran (University of Waterloo, 2013-11-29)
      Traditionally, public opinion and policy is decided by issuing surveys and performing censuses designed to measure what the public thinks about a certain topic. Within the past five years social networks such as Facebook ...
    • Enabling Cross-lingual Information Retrieval for African Languages 

      Ogundepo, Odunayo (University of Waterloo, 2023-04-28)
      Language diversity in NLP is critical in enabling the development of tools for a wide range of users. However, there are limited resources for building such tools for many languages, particularly those spoken in Africa. ...
    • Exploitation of Redundant Inverse Term Frequency for Answer Extraction 

      Lynam, Thomas Richard (University of Waterloo, 2002)
      An automatic question answering system must find, within a corpus,short factual answers to questions posed in natural language. The process involves analyzing the question, retrieving information related to the question, ...
    • Generalization on Text-based Games using Structured Belief Representations 

      Adhikari, Ashutosh Devendrakumar (University of Waterloo, 2020-12-23)
      Text-based games are complex, interactive simulations where a player is asked to process the text describing the underlying state of the world to issue textual commands for advancing in a game. Playing these games can be ...
    • Iterative Edit-based Unsupervised Sentence Simplification 

      Kumar, Dhruv (University of Waterloo, 2020-07-28)
      We present a new iterative approach towards unsupervised edit-based sentence simplification. Our approach is guided by a scoring function to select simplified sentences generated after iteratively performing word and ...
    • Misinformation Retrieval 

      Rizvi, Saira (University of Waterloo, 2021-10-01)
      This work introduces the task of misinformation retrieval, identifying all documents containing misinformation for a given topic, and proposes a pipeline for misinformation retrieval on tweets. As part of the work, I curated ...
    • Simple Convolutional Neural Networks with Linguistically-Annotated Input for Answer Selection in Question Answering 

      Sequiera, Royal (University of Waterloo, 2018-08-10)
      With the advent of deep learning methods, researchers have been increasingly preferring deep learning methods over decades-old feature-engineering-inspired work in Natural Language Processing (NLP). The research community ...
    • StyleCounsel: Seeing the (Random) Forest for the Trees in Adversarial Code Stylometry 

      McKnight, Christopher (University of Waterloo, 2018-01-12)
      Authorship attribution has piqued the interest of scholars for centuries, but had historically remained a matter of subjective opinion, based upon examination of handwriting and the physical document. Midway through the ...
    • Variational Inference for Text Generation: Improving the Posterior 

      Balasubramanian, Vikash (University of Waterloo, 2020-08-10)
      Learning useful representations of data is a crucial task in machine learning with wide ranging applications. In this thesis we explore improving representations of models based on variational inference by improving the ...

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