Firstly, we introduce a new query-based IE model that employs span extraction instead of using the common sequence labeling approach.
Sentence compression is the task of creating a shorter version of an input sentence while keeping important information.
This paper presents a practical approach to fine-grained information extraction.
This paper presents a study of employing Ranking SVM and Convolutional Neural Network for two missions: legal information retrieval and question answering in the Competition on Legal Information Extraction/Entailment.
This paper presents VSoLSCSum, a Vietnamese linked sentence-comment dataset, which was manually created to treat the lack of standard corpora for social context summarization in Vietnamese.
In the context of the Competition on Legal Information Extraction/Entailment (COLIEE), we propose a method comprising the necessary steps for finding relevant documents to a legal question and deciding on textual entailment evidence to provide a correct answer.