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A library for open domain query facet extraction and generation

License: MIT License

Python 100.00%

facet-extraction facet-generation faceted-search nlp seq2seq sequence-to-sequence sequence-tagging text-generation language-models

faspect's Introduction

Hi, I'm Chris 👋

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.

👔 linkedin | 🐤 twitter | 📰 google scholar | 🏠 website

📑 Latest Research

📜 ProCIS: A Benchmark for Proactive Retrieval in Conversations in SIGIR 2024
📜 Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language Models (preprint)
📜 Revisiting Open Domain Query Facet Extraction and Generation in ICTIR 2022
📜 Improving Evidence Retrieval for Automated Explainable Fact-Checking in NAACL 2021
📜 Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training in ICTAI 2020

💻 Latest Projects

Faspect: A library with various model implementations for open domain query facet extraction and generation
Quin: A framework for large-scale fact-checking and question answering

faspect's People

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faspect's Issues

Bert_score issue

There will be something wrong when i calculate bert_score if len(cand_terms) != len(gt_terms)

I got higher results

Why i got higher results using your uploaded checkpoint and code.
Here are my results:

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