Doc-Phi: An Intelligent Document Finder
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Updated
Jan 10, 2022 - Python
Doc-Phi: An Intelligent Document Finder
Information Retrieval Using TFIDF and Conv-KNRM
A Fine-Grained Analysis of Distribution Shifts in MSMARCO (MS-Shift). Evaluation benchmark on three types of distribution shifts, all conditioned on MSMARCO queries.
MONSERRATE is a dataset specifically created to evaluate Question Generation systems. It has, on average, 26 questions associated to each source sentence, attempting to be an “exhaustive” reference.
In this demo, we illustrate the the possibility of using Semantic Search + Recognising Textual Entailment with Gradio to build an automated fact checking tool
阅读/论文笔记
Fixed some bugs and edited original baseline scripts from MS MARCO
Document search engine built for the MSMARCO collection. Multimedia Infomation Retrieval @ University of Pisa
Final project for course on deep learning for nlp (IA376E/1s2020 @ Unicamp)
Analysis on the MS-MARCO leaderboard regarding the machine reading comprehension task.
CauseNet: Towards a Causality Graph Extracted from the Web
Machine Comprehension Train on MSMARCO with S-NET Extraction Modification
Local-GenAI-Search is a generative search engine based on Llama 3, langchain and qdrant that answers questions based on your local files
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