CLTR: An End-to-End, Transformer-Based System for Cell-Level Table Retrieval and Table Question Answering

no code implementations • ACL 2021 • Feifei Pan, Mustafa Canim, Michael Glass, Alfio Gliozzo, Peter Fox

We present the first end-to-end, transformer-based table question answering (QA) system that takes natural language questions and massive table corpora as inputs to retrieve the most relevant tables and locate the correct table cells to answer the question.

Question Answering Table Retrieval

CLTR: An End-to-End, Transformer-Based System for Cell Level Table Retrieval and Table Question Answering

1 code implementation • 8 Jun 2021 • Feifei Pan, Mustafa Canim, Michael Glass, Alfio Gliozzo, Peter Fox

We present the first end-to-end, transformer-based table question answering (QA) system that takes natural language questions and massive table corpus as inputs to retrieve the most relevant tables and locate the correct table cells to answer the question.

Question Answering Table Retrieval

Language and Domain Independent Entity Linking with Quantified Collective Validation

no code implementations • EMNLP 2015 • Han Wang, Jin Guang Zheng, Xiaogang Ma, Peter Fox, Heng Ji

Dependency Parsing Entity Linking +3