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Found 20 papers, 5 papers with code
SCE-SUMMARY at the FNS 2020 shared task
This paper reports an approach for summarizing financial texts, which are different from the documents from other domains at least in three parameters: length, structure, and format.
Hierarchical summarization of financial reports with RUNNER
This paper reports an approach for summarizing financial texts, which are different from the documents from other domains at least in three parameters: length, structure, and format.
Detection of Negative Campaign in Israeli Municipal Elections
Our contribution is multi-fold: (1) We provide TONIC—daTaset fOr Negative polItical Campaign in Hebrew—which consists of annotated posts from Facebook related to Israeli municipal elections; (2) We introduce results of a case study, that explored several research questions.
Offensive language detection in Hebrew: can other languages help?
Therefore, automated detection of offensive language is in high demand and it is a serious challenge in multilingual domains.
Improving Factual Error Correction for Abstractive Summarization via Data Distillation and Conditional-generation Cloze
Improving factual consistency in abstractive summarization has been a focus of current research.
Just ClozE! A Novel Framework for Evaluating the Factual Consistency Faster in Abstractive Summarization
The issue of factual consistency in abstractive summarization has received extensive attention in recent years, and the evaluation of factual consistency between summary and document has become an important and urgent task.
Subjective Bias in Abstractive Summarization
Due to the subjectivity of the summarization, it is a good practice to have more than one gold summary for each training document.
Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks
We also present a new dataset for definition extraction from mathematical texts.
Automated Discovery of Mathematical Definitions in Text
We also present a new dataset for definition extraction from mathematical texts.
In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes
Various Seq2Seq learning models designed for machine translation were applied for abstractive summarization task recently.
HEvAS: Headline Evaluation and Analysis System
We introduce the Headline Evaluation and Analysis System (HEvAS) that performs automatic evaluation of systems in terms of a quality of the generated headlines.
Query-based summarization using MDL principle
Query-based text summarization is aimed at extracting essential information that answers the query from original text.
What's up on Twitter? Catch up with TWIST!
Event detection and analysis with respect to public opinions and sentiments in social media is a broad and well-addressed research topic.
