| Challenge: | a new dataset of human-written summaries of bar charts is available in english . a chart summary is a textual description of a data point, which is often analytical . |
| Approach: | They propose a dataset of human-written summaries describing bar charts in english . a total of 47 charts are presented in the dataset, which includes 47 charts . |
| Outcome: | a new dataset of human-written summaries describing bar charts is presented in english . the dataset shows that human speakers often include such statements into chart summary . |
Similar Papers
Chart-to-Text: A Large-Scale Benchmark for Chart Summarization (2022.acl-long)
Copied to clipboard
Shankar Kantharaj, Rixie Tiffany Leong, Xiang Lin, Ahmed Masry, Megh Thakkar, Enamul Hoque, Shafiq Joty
| Challenge: | Inferring key insights from charts can be challenging and time-consuming. |
| Approach: | They propose a task where the goal is to explain a chart and summarize key takeaways from it in natural language. |
| Outcome: | The proposed model produces fluent summaries but suffers from hallucinations and factual errors . the proposed model is compared with other models and can be used to generate BLEU scores . |
The State and Fate of Summarization Datasets: A Survey (2025.naacl-long)
Copied to clipboard
| Challenge: | Summarization is the task of shortening a text while preserving the most important information it contains. |
| Approach: | They propose a novel ontology covering sample properties, collection methods and distribution covering sample characteristics, collection method and distribution. |
| Outcome: | The proposed ontology covers sample properties, collection methods and distribution, and can be used to streamline future research into a more coherent body of work. |
MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge (L18-1)
Copied to clipboard
| Challenge: | Various approaches for script knowledge extraction and processing have been proposed in recent years. |
| Approach: | They propose a dataset to evaluate natural language understanding approaches based on commonsense knowledge. |
| Outcome: | The proposed dataset provides test cases for the broader natural language understanding community. |
Tell Me Again! a Large-Scale Dataset of Multiple Summaries for the Same Story (2024.lrec-main)
Copied to clipboard
| Challenge: | Existing approaches to represent narratives on short-form texts are limited as narrative semantics are an open class. |
| Approach: | They propose to use Wikipedia summaries as a proxy for entire stories or for analysis of the summary itself. |
| Outcome: | The proposed dataset contains 96,831 individual summaries across 29,505 stories. |
DaNewsroom: A Large-scale Danish Summarisation Dataset (2020.lrec-1)
Copied to clipboard
| Challenge: | Existing datasets for automatic summarisation are English-oriented . however, only very limited datasets exist in languages other than English . |
| Approach: | They present the first large-scale non-English dataset specifically curated for automatic summarisation. |
| Outcome: | The proposed dataset is the first for the Danish language and is compared with existing datasets. |
WikiSum: Coherent Summarization Dataset for Efficient Human-Evaluation (2021.acl-short)
Copied to clipboard
| Challenge: | Existing summarization datasets are limited in their ability to evaluate output . a human evaluation is necessary to understand and improve summarizing systems . |
| Approach: | They propose a dataset based on how-to articles and coherent paragraph summaries written in plain language. |
| Outcome: | The proposed dataset makes human evaluation easier and more effective . the authors compare the proposed dataset to existing ones on PubMed and the literature. |
LMGQS: A Large-scale Dataset for Query-focused Summarization (2023.findings-emnlp)
Copied to clipboard
Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng
| Challenge: | Lack of large-scale datasets for query-focused summarization hinders model development . lack of data limits the ability of QFS models to train robust neural models . |
| Approach: | They propose to generate a query for each summary sentence in a generic summarization annotation using a pretrained language model. |
| Outcome: | The proposed model achieves state-of-the-art zero-shot and supervised performance on multiple existing QFS benchmarks. |
SumPubMed: Summarization Dataset of PubMed Scientific Articles (2021.acl-srw)
Copied to clipboard
| Challenge: | Existing summarization models that can extract the top few lines of news articles fail to summarize long documents. |
| Approach: | They constructed a scientific summarization dataset from MEDLINE articles from the PubMed archive to address this problem. |
| Outcome: | The proposed model outperforms existing models on news article summarization datasets and shows that it is more efficient to extract the top few lines. |
SummEval: Re-evaluating Summarization Evaluation (2021.tacl-1)
Copied to clipboard
Alexander R. Fabbri, Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir Radev
| Challenge: | a lack of comprehensive studies on evaluation metrics for text summarization hinders progress . a new study aims to improve evaluation metrics that correlate with human judgments . |
| Approach: | They propose to re-evaluate automatic evaluation metrics and share a toolkit for evaluation . they hope to promote a more complete evaluation protocol for text summarization . |
| Outcome: | The proposed evaluation metrics are inconsistent with existing evaluation protocols. |
Proceedings of the First Workshop on Aggregating and Analysing Crowdsourced Annotations for NLP (D19-59)
Copied to clipboard
| Challenge: | The first workshop on crowdsourcing for NLP is open to all . |
| Approach: | The first workshop on crowdsourcing annotations for NLP is held at the acl.com . the workshop will focus on methods for aggregating and analysing crowdsourced data for Nl-specific tasks. |
| Outcome: | The first workshop on crowdsourcing for NLP received 16 submissions and accepted 7 . the workshop will focus on ambiguous, subjective or ambiguity analysis of crowdsourced data . |