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hanglics/README.md

Hi there ๐Ÿ‘‹

This is Hang Li.

I am currently a PhD candidate at ielab in The University of Queensland, Australia, I work with Dr. Guido Zuccon and Dr. Bevan Koopman. I was granted the Bachelor of Science in Computer Science at the University of Minnesota Twin-Cities in United States in 2016.

I am working at the intersection of Conversational Search, Natural Language Processing (NLP), and Machine Learning (ML) applications, where I utilises different relevance feedbacks to empower the conversational search system. My recent work seeks to address the gap between relevance feedback, deep language models, and conversational search through different approaches that helps to improve the conversational system effectiveness with minimal efficiency cost.

Publications are listed in hangli.me along with corresponding github repos.

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  1. ielab/Neural-Relevance-Feedback-Public ielab/Neural-Relevance-Feedback-Public Public

    The code base for Text-based PRF and Vector-based PRF.

    Python 4

  2. castorini/pyserini castorini/pyserini Public

    Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

    Python 1.7k 373

  3. ielab/searchrefiner ielab/searchrefiner Public

    Systematic Review Query Visualisation and Understanding Interface

    HTML 16 5

  4. ielab/APR ielab/APR Public

    The repo for reproducing the ANCE-PRF training.

    Python 8

  5. ielab/inst_eval ielab/inst_eval Public

    Python implementation of the INST evaluation measure from Moffat et al, ADCS 2015.

    Python 8 1

  6. ielab/GPT_Ranker ielab/GPT_Ranker Public

    Use GPT-2/T5 to beat traditional LM

    Python 2