OpenMatch：Neu-IR研究的开放源代码库
OpenMatch: An Open Source Library for Neu-IR Research
摘要：
OpenMatch是一个基于Python的库，用于神经信息检索（Neu-IR）研究。它提供了独立的神经和传统IR模块，使其易于构建定制和更高容量的IR系统。为了为用户发挥Neu-IR模型的优势，OpenMatch提供了最新神经IR模型的实现、复杂的实验说明和高级的Few-Shot训练方法。OpenMatch再现了广泛使用的IR基准上以前工作的相应排名结果，将用户从基线重新实现的剩余劳动力中解放出来。我们基于OpenMatch的解决方案在各种排名任务（如临时检索和会话检索）上进行排名最高的实证结果，说明OpenMatch有助于构建有效的IR系统。OpenMatch的库、实验方法和结果都可以在https://github.com/thunlp/OpenMatch上公开获得。
英文摘要：
OpenMatch is a Python-based library that serves for Neural Information Retrieval (Neu-IR) research. It provides self-contained neural and traditional IR modules, making it easy to build customized and higher-capacity IR systems. In order to develop the advantages of Neu-IR models for users, OpenMatch provides implementations of recent neural IR models, complicated experiment instructions, and advanced few-shot training methods. OpenMatch reproduces corresponding ranking results of previous work on widely-used IR benchmarks, liberating users from surplus labor in baseline reimplementation. Our OpenMatch-based solutions conduct top-ranked empirical results on various ranking tasks, such as ad hoc retrieval and conversational retrieval, illustrating the convenience of OpenMatch to facilitate building an effective IR system. The library, experimental methodologies and results of OpenMatch are all publicly available at https://github.com/thunlp/OpenMatch.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
