Compwebq
WebApr 22, 2024 · 1. Introduction. The objective of Knowledge Base Question Answering (KBQA) is to autonomously output answers to input natural language questions [1].Corresponding solutions usually convert proposed questions to specific representation forms, so as to cover related information to accomplish the question answering (QA) task. WebCompWebQ (Talmor and Berant,2024) Knowledge Graph Question Answer HybridQA (Chen et al.,2024c) Table + Text Passage Question Answer MultiModalQA (Talmor et …
Compwebq
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WebAug 2, 2015 · Version 1.1 Freebase Leaderboard (Semantic parsing over Freebase version 2015-08-02) Version 1.1 Reading Comprehension Leaderboard (Using the provided google snippets) WebCorpus ID: 256460981; A Sequential Flow Control Framework for Multi-hop Knowledge Base Question Answering @inproceedings{Xie2024ASF, title={A Sequential Flow Control Framework for Multi-hop Knowledge Base Question Answering}, author={Minghui Xie and Chuzhan Hao and Peng Zhang}, booktitle={Conference on Empirical Methods in Natural …
Webpython -m CompWebQ.train --input_dir < PATH/TO/UNZIPPED/DATA >--save_dir < PATH/TO/CHECKPOINT > About. Pytorch implementation of EMNLP 2024 paper "TransferNet: An Effective and Transparent …
WebApr 1, 2024 · 1. Introduction. While knowledge bases (KBs) are available (e.g., Freebase [1] and DBpedia [2]), the question of how end users access KBs is important.One established way is question answering over knowledge base (KBQA).Given a natural language question and a KB, the task is to return answers or a formal query that can be executed over the … tembo the badass elephant trainerWebOct 1, 2024 · 1. Introduction. Complex Knowledge Base Question Answering [1] aims to answer complex questions in natural language with an available Knowledge Base (KB), where complex questions consist of multiple entities, compound relations and numerical operations. As a special class of the complex questions [2], [3], aggregate question … tem bright field dark fieldWebJul 5, 2024 · 二、SimpleQuestions. SimpleQuestions数据集（2015年提出）是一个针对简单问题而构建的数据集，它采用人工标注的方法根据知识库中的事实生成对应的问句，并且以 Freebase 作为答案来源。. 该数据集共包含108,442条数据（包含关系标注），其中训练集为75910条（70% ... trees materialWebCompWebQ Talmor and Berant is an extended version of WebQSP with more hops and constraints. Following Sun et al. , we retrieved a subgraph for each question using … tembo toysWebAbout Compaq. Compaq has a long-standing reputation for product quality, reliability and affordability. We believe everyone should have the opportunity to own a quality … temboo pricingWebJul 1, 2024 · Abstract. COVID-19 evolves rapidly and an enormous number of people worldwide desire instant access to COVID-19 information such as the overview, clinic knowledge, vaccine, prevention measures, and COVID-19 mutation. Question answering (QA) has become the mainstream interaction way for users to consume the ever-growing … tembo takes chargeA dataset for answering complex questions that require reasoning over multiple web snippets. ComplexWebQuestions is a new dataset that contains a large set of complex questions in natural language, and can be used in multiple ways: By interacting with a search engine, which is the focus of our paper (Talmor and Berant, 2024); tembo tool nantes