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1
Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ...
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2
ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation ...
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3
Question Answering over Text and Tables ...
Abstract: A key challenge for Artificial Intelligence is to design intelligent agents that can reason with heterogeneous representations. In this talk, I will describe our recent work on teaching machines to reason in semi-structured tables and unstructured text data, and answer multi-hop questions. More specifically, I will introduce: (1) HybridQA, a multi-hop question answering framework on tables and text; (2) OTT-QA, an extend of the HybridQA dataset into the more challenging open domain setting. ...
Keyword: Computational Linguistics; Condensed Matter Physics; Data Acquisition; FOS Physical sciences; Information and Knowledge Engineering; Machine Learning; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/rcvg-rb47
https://underline.io/lecture/29904-question-answering-over-text-and-tables
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4
Extracting Events from Industrial Incident Reports ...
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5
Team “NoConflict” at CASE 2021 Task 1: Pretraining for Sentence-Level Protest Event Detection ...
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DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection ...
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