Chris Samarinas

CS PhD, CIIR lab, University of Massachusetts Amherst

πŸ“§ email: chris [.] samarinas [at] gmail.com

πŸŽ“ Scholar   ·   πŸ§‘πŸ»β€πŸ’» Github   ·   πŸ“„ CV   ·   🐦 Twitter   ·   πŸ’Ό LinkedIn
Hello πŸ‘‹ I'm a PhD student in Information Retrieval at the Center for Intelligent Information Retrieval at University of Massachusetts Amherst, supervised by Hamed Zamani. I’m currently doing research in conversational search.

Previously, I was at Ro5 where I worked on the automated construction of a biomedical knowledge graph for drug discovery, a research assistant at the National University of Singapore where I did research supervised by Wynne Hsu and Mong Li Lee in automated fact-checking and detection of misinformation in social media, at Plural AI where I worked on entity extraction from webpages and semantic search for finance, and at Donaco where I worked on contextual recommendation of charity campaigns.

My goal 🎯 is to help overcome the limitations of current machine learning models (efficiency, robustness, limited training resources), and improve multimodal content organization & discovery.

My recent work is in conversational search, representation learning and ranking for information retrieval, contextual recommendation systems and knowledge base construction from semi-structured text.

Research Interests: Information Retrieval, Natural Language Processing, Machine Learning, Recommendation Systems, Knowledge Graphs

πŸ“° Recent News

πŸ“ Recent Publications

  1. Revisiting Open Domain Query Facet Extraction and Generation, Chris Samarinas, Arkin Dharawat, Hamed Zamani, ICTIR 2022
  2. Maruna Bot: An Extensible Retrieval-Focused Framework for Task-Oriented Dialogues, Amit Hattimare, Arkin Dharawat, Yelman Khan, Yen-Chieh Lien, Chris Samarinas, George Wei, Yulin Yang, Hamed Zamani, Alexa Prize Taskbot Challenge 2021
  3. Improving evidence retrieval for automated explainable fact-checking, Chris Samarinas, Wynne Hsu, Mong Li Lee, NAACL 2021
  4. Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training, Chris Samarinas, Wynne Hsu, Mong Li Lee, ICTAI 2020

πŸ’‘ Projects

  1. Faspect, A library for open domain query facet extraction and generation
  2. Quin, An easy to use framework for large-scale fact-checking and question answering
  3. DeCodR, Model implementations for Semantic Code & Repository Search
  4. Laby, Maze generator, editor & solver in Java (old project)
  5. mRand, Random YouTube music player (old project)

πŸ† Awards

  1. SIGIR Travel Grant, June 2022, for attentding ICTIR in Madrid
  2. Bodossaki Foundation PhD Scholarship, July 2021, 5-year scholarship for PhD studies in Information Retrieval
  3. Bioengineering Hackathon, 1st place, EMB IEEE Student Chapter, April 2018, 1st place for developing DropSense in 48 hours, a platform that monitors and connects elderly with their relatives and paid carers using Wear OS smartwatches
  4. Great Moment for Education Scholarship, Eurobank Ergasias, 2012, scholarship for achieving the highest grade at school at the national university admission exam
  5. National Mathematics Competition, First Prize, Hellenic Mathematical Society, 2009, awarded for competing in the final stage β€˜Archimedes’, top 50 out of 20,000 participants

πŸ‘¨β€πŸ’Ό Recent Experience

  1. Adobe Research · Research Intern (June 2022 - Aug 2022)
    • Research in multi-step query reformulation for dense retrieval at the Real-time Experiences and Algorithms Lab (REAL)
  2. Ro5 · Machine Learning Consultant (Feb 2021 - Aug 2021)
    • Biomedical relation extraction from research papers
  3. National University of Singapore · Research Assistant (Feb 2020 - Apr 2021)
    • Research on latent evidence retrieval for large-scale fact-checking and question answering, published at ICTAI & NAACL
    • Research on fake news detection in social media using social context
  4. Plural AI · Research Engineer (Oct 2018 - Jan 2020)
    • Developed a novel multi-stage method for extraction and saliency scoring of concepts from corporate websites
    • Owned the whole machine learning pipeline, from the annotation tool development and website crawling, to the productionization and deployment
    • Developed a smart tool for efficient curation of an industrial category graph
    • Developed a scalable semantic search service of companies using a novel topic modeling technique
  5. Donaco · Research Engineer (Aug 2018 - Nov 2018)
    • Designed a system for contextual recommendation of charity campaigns in news articles
    • Worked on the advertising platform and tried to utilize the real-time user behavior for better ad serving
  6. Foshan.io · Software Consultant (Jun 2018 - Jan 2019)
    • Responsible for the development of the new version of the historical HotBot metasearch engine

Service

Misc

Last update: 08/07/22