中文
相关论文

相关论文: Learning To Split and Rephrase From Wikipedia Edit…

200 篇论文

Wikipedia's contents are based on reliable and published sources. To this date, relatively little is known about what sources Wikipedia relies on, in part because extracting citations and identifying cited sources is challenging. To close…

数字图书馆 · 计算机科学 2020-11-24 Harshdeep Singh , Robert West , Giovanni Colavizza

In this paper, we bring a new way of digesting news content by introducing the task of segmenting a news article into multiple sections and generating the corresponding summary to each section. We make two contributions towards this new…

计算与语言 · 计算机科学 2021-10-18 Yang Liu , Chenguang Zhu , Michael Zeng

To cope with the large number of publications, more and more researchers are automatically extracting data of interest using natural language processing methods based on supervised learning. Much data, especially in the natural and…

计算与语言 · 计算机科学 2025-03-19 Jan Göpfert , Patrick Kuckertz , Jann M. Weinand , Detlef Stolten

This study presents a comparative analysis of 55 Wikipedia language editions employing a citation index alongside a synthetic quality measure. Specifically, we identified the most significant Wikipedia articles within distinct topical…

信息检索 · 计算机科学 2025-05-23 Włodzimierz Lewoniewski , Krzysztof Węcel , Witold Abramowicz

Aspect-based summarization is the task of generating focused summaries based on specific points of interest. Such summaries aid efficient analysis of text, such as quickly understanding reviews or opinions from different angles. However,…

计算与语言 · 计算机科学 2020-11-17 Hiroaki Hayashi , Prashant Budania , Peng Wang , Chris Ackerson , Raj Neervannan , Graham Neubig

Nowadays, thanks to Web 2.0 technologies, people have the possibility to generate and spread contents on different social media in a very easy way. In this context, the evaluation of the quality of the information that is available online…

计算与语言 · 计算机科学 2018-12-10 Elias Bassani , Marco Viviani

Accurate lexical entailment (LE) and natural language inference (NLI) often require large quantities of costly annotations. To alleviate the need for labeled data, we introduce WikiNLI: a resource for improving model performance on NLI and…

计算与语言 · 计算机科学 2020-10-06 Mingda Chen , Zewei Chu , Karl Stratos , Kevin Gimpel

Verifiability is one of the core editing principles in Wikipedia, where editors are encouraged to provide citations for the added statements. Statements can be any arbitrary piece of text, ranging from a sentence up to a paragraph. However,…

计算与语言 · 计算机科学 2018-05-01 Besnik Fetahu

We present a dataset that contains every instance of all tokens (~ words) ever written in undeleted, non-redirect English Wikipedia articles until October 2016, in total 13,545,349,787 instances. Each token is annotated with (i) the article…

计算与语言 · 计算机科学 2017-03-27 Fabian Flöck , Kenan Erdogan , Maribel Acosta

Text simplification is the process of splitting and rephrasing a sentence to a sequence of sentences making it easier to read and understand while preserving the content and approximating the original meaning. Text simplification has been…

计算与语言 · 计算机科学 2021-09-30 Tanvi Dadu , Kartikey Pant , Seema Nagar , Ferdous Ahmed Barbhuiya , Kuntal Dey

To enhance the ability to find credible evidence in news articles, we propose a novel task of expert recommendation, which aims to identify trustworthy experts on a specific news topic. To achieve the aim, we describe the construction of a…

信息检索 · 计算机科学 2023-05-09 Wenjia Zhang , Lin Gui , Rob Procter , Yulan He

We present a novel iterative, edit-based approach to unsupervised sentence simplification. Our model is guided by a scoring function involving fluency, simplicity, and meaning preservation. Then, we iteratively perform word and phrase-level…

计算与语言 · 计算机科学 2020-06-18 Dhruv Kumar , Lili Mou , Lukasz Golab , Olga Vechtomova

Datasets for data-to-text generation typically focus either on multi-domain, single-sentence generation or on single-domain, long-form generation. In this work, we cast generating Wikipedia sections as a data-to-text generation task and…

计算与语言 · 计算机科学 2021-06-03 Mingda Chen , Sam Wiseman , Kevin Gimpel

Wikipedia has been turned into an immensely popular crowd-sourced encyclopedia for information dissemination on numerous versatile topics in the form of subscription free content. It allows anyone to contribute so that the articles remain…

社会与信息网络 · 计算机科学 2021-11-03 Paramita Das , Bhanu Prakash Reddy Guda , Sasi Bhusan Seelaboyina , Soumya Sarkar , Animesh Mukherjee

News article revision histories have the potential to give us novel insights across varied fields of linguistics and social sciences. In this work, we present, to our knowledge, the first publicly available dataset of news article revision…

计算与语言 · 计算机科学 2022-07-01 Alexander Spangher , Jonathan May

In this paper, we propose a novel strategy which is designed to enhance the accuracy of the parser by simplifying complex sentences before parsing. This approach involves the separate parsing of the constituent sub-sentences within a…

cmp-lg · 计算机科学 2008-02-03 Peh Li Shiuan , Christopher Ting Hian Ann

Fast-developing fields such as Artificial Intelligence (AI) often outpace the efforts of encyclopedic sources such as Wikipedia, which either do not completely cover recently-introduced topics or lack such content entirely. As a result,…

Row completion is the task of augmenting a given table of text and numbers with additional, relevant rows. The task divides into two steps: subject suggestion, the task of populating the main column; and gap filling, the task of populating…

计算与语言 · 计算机科学 2022-04-15 Carina Negreanu , Alperen Karaoglu , Jack Williams , Shuang Chen , Daniel Fabian , Andrew Gordon , Chin-Yew Lin

Wikipedia plays a crucial role in the integrity of the Web. This work analyzes the reliability of this global encyclopedia through the lens of its references. We operationalize the notion of reference quality by defining reference need…

Sentence simplification is the task of rewriting texts so they are easier to understand. Recent research has applied sequence-to-sequence (Seq2Seq) models to this task, focusing largely on training-time improvements via reinforcement…