2 research outputs found
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages
Lack of encyclopedic text contributors, especially on Wikipedia, makes
automated text generation for low resource (LR) languages a critical problem.
Existing work on Wikipedia text generation has focused on English only where
English reference articles are summarized to generate English Wikipedia pages.
But, for low-resource languages, the scarcity of reference articles makes
monolingual summarization ineffective in solving this problem. Hence, in this
work, we propose XWikiGen, which is the task of cross-lingual multi-document
summarization of text from multiple reference articles, written in various
languages, to generate Wikipedia-style text. Accordingly, we contribute a
benchmark dataset, XWikiRef, spanning ~69K Wikipedia articles covering five
domains and eight languages. We harness this dataset to train a two-stage
system where the input is a set of citations and a section title and the output
is a section-specific LR summary. The proposed system is based on a novel idea
of neural unsupervised extractive summarization to coarsely identify salient
information followed by a neural abstractive model to generate the
section-specific text. Extensive experiments show that multi-domain training is
better than the multi-lingual setup on average
Nostradamus: Weathering Worth
Nostradamus, inspired by the French astrologer and reputed seer, is a
detailed study exploring relations between environmental factors and changes in
the stock market. In this paper, we analyze associative correlation and
causation between environmental elements and stock prices based on the US
financial market, global climate trends, and daily weather records to
demonstrate significant relationships between climate and stock price
fluctuation. Our analysis covers short and long-term rises and dips in company
stock performances. Lastly, we take four natural disasters as a case study to
observe their effect on the emotional state of people and their influence on
the stock market.Comment: 12 pages, 13 figure