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Found 11 papers, 1 papers with code
MAKED: Multi-lingual Automatic Keyword Extraction Dataset
Keyword extraction is an integral task for many downstream problems like clustering, recommendation, search and classification.
Navigating the Landscape of Hint Generation Research: From the Past to the Future
Digital education has gained popularity in the last decade, especially after the COVID-19 pandemic.
TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions
To evaluate the TriviaHG dataset and the proposed evaluation method, we enlisted 10 individuals to annotate 2, 791 hints and tasked 6 humans with answering questions using the provided hints.
Large Scale Multi-Lingual Multi-Modal Summarization Dataset
Significant developments in techniques such as encoder-decoder models have enabled us to represent information comprising multiple modalities.
A Survey on Medical Document Summarization
The internet has had a dramatic effect on the healthcare industry, allowing documents to be saved, shared, and managed digitally.
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation
In this work, we study the usefulness of Abstract Meaning Representation (AMR) graph as the intermediate style agnostic representation.
A Survey on Multi-hop Question Answering and Generation
This implies that different datasets and models differ significantly which makes the field challenging to generalize and survey.
WIDAR -- Weighted Input Document Augmented ROUGE
The task of automatic text summarization has gained a lot of traction due to the recent advancements in machine learning techniques.
A Survey on Multi-modal Summarization
The new era of technology has brought us to the point where it is convenient for people to share their opinions over an abundance of platforms.
Semantic Extractor-Paraphraser based Abstractive Summarization
The anthology of spoken languages today is inundated with textual information, necessitating the development of automatic summarization models.
Multi-Modal Summary Generation using Multi-Objective Optimization
Significant development of communication technology over the past few years has motivated research in multi-modal summarization techniques.
