Summarization of legal documents: Where are we now and the way forward
Due to huge amount of legal information availability on the internet, as well as other sources,
it is important for the research community to do more extensive research on the area of legal …
it is important for the research community to do more extensive research on the area of legal …
Technology in the 21st century: New challenges and opportunities
J Sheng, J Amankwah-Amoah, X Wang - Technological Forecasting and …, 2019 - Elsevier
Although big data, big data analytics (BDA) and business intelligence have attracted
growing attention of both academics and practitioners, a lack of clarity persists about how …
growing attention of both academics and practitioners, a lack of clarity persists about how …
Recent automatic text summarization techniques: a survey
M Gambhir, V Gupta - Artificial Intelligence Review, 2017 - Springer
As information is available in abundance for every topic on internet, condensing the
important information in the form of summary would benefit a number of users. Hence, there …
important information in the form of summary would benefit a number of users. Hence, there …
A survey of automatic text summarization: Progress, process and challenges
With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …
increased exponentially. This text volume is a precious source of information and knowledge …
Short text similarity with word embeddings
T Kenter, M De Rijke - Proceedings of the 24th ACM international on …, 2015 - dl.acm.org
Determining semantic similarity between texts is important in many tasks in information
retrieval such as search, query suggestion, automatic summarization and image finding …
retrieval such as search, query suggestion, automatic summarization and image finding …
Learning short-text semantic similarity with word embeddings and external knowledge sources
We present a novel method based on interdependent representations of short texts for
determining their degree of semantic similarity. The method represents each short text as …
determining their degree of semantic similarity. The method represents each short text as …
MedSTS: a resource for clinical semantic textual similarity
The adoption of electronic health records (EHRs) has enabled a wide range of applications
leveraging EHR data. However, the meaningful use of EHR data largely depends on our …
leveraging EHR data. However, the meaningful use of EHR data largely depends on our …
[PDF][PDF] Takelab: Systems for measuring semantic text similarity
This paper describes the two systems for determining the semantic similarity of short texts
submitted to the SemEval 2012 Task 6. Most of the research on semantic similarity of textual …
submitted to the SemEval 2012 Task 6. Most of the research on semantic similarity of textual …
COSUM: Text summarization based on clustering and optimization
RM Alguliyev, RM Aliguliyev, NR Isazade… - Expert …, 2019 - Wiley Online Library
Text summarization is a process of extracting salient information from a source text and
presenting that information to the user in a condensed form while preserving its main …
presenting that information to the user in a condensed form while preserving its main …
An approach for extractive text summarization using fuzzy evolutionary and clustering algorithms
Automatic text summarization schemes are indeed helpful for glancing briefly at the text
document. With this motivation, we introduce here a two-stage hybrid model for text …
document. With this motivation, we introduce here a two-stage hybrid model for text …