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[2022-10-20] 오늘의 자연어처리 EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction This paper presents our submission to the 2022 edition of the CASE 2021 shared task 1, subtask 4. The EventGraph system adapts an end-to-end, graph-based semantic parser to the task of Protest Event Extraction and more specifically subtask 4 on event trigger and argument extraction. We experiment with vari.. 2022. 10. 20.
[2022-10-19] 오늘의 자연어처리 Textual Entailment Recognition with Semantic Features from Empirical Text Representation Textual entailment recognition is one of the basic natural language understanding(NLU) tasks. Understanding the meaning of sentences is a prerequisite before applying any natural language processing(NLP) techniques to automatically recognize the textual entailment. A text entails a hypothesis if and only if .. 2022. 10. 19.
[2022-10-19] 오늘의 자연어처리 KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents We introduce KPI-EDGAR, a novel dataset for Joint Named Entity Recognition and Relation Extraction building on financial reports uploaded to the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system, where the main objective is to extract Key Performance Indicators (KPIs) from financia.. 2022. 10. 19.
[2022-10-18] 오늘의 자연어처리 HashFormers: Towards Vocabulary-independent Pre-trained Transformers Transformer-based pre-trained language models are vocabulary-dependent, mapping by default each token to its corresponding embedding. This one-to-one mapping results into embedding matrices that occupy a lot of memory (i.e. millions of parameters) and grow linearly with the size of the vocabulary. Previous work on on-device tra.. 2022. 10. 18.
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