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Rewriting simplified text into a controlled natural language
(IOS Press, 2018-08-27)
While machine processable Controlled Natural Languages (CNLs) as a natural language interface have proven a popular, unambiguous and user friendly method for non experts to engineer formal knowledge-bases, human-oriented ...
Deep convolution neural network model to predict relapse in breast cancer
(IEEE, 2018-12-17)
A mishap in anti-cancer drug distribution is critical in breast cancer patients due to poor prediction model to identify the treatment regime in ER+ve and ER-ve (Estrogen Receptor (ER)) patients. The traditional method for ...
SemR-11: a multi-lingual gold-standard for semantic similarity and relatedness for eleven languages
(European Language Resources Association, 2018-05-07)
This work describes SemR-11, a multi-lingual dataset for evaluating semantic similarity and relatedness for 11 languages (German,
French, Russian, Italian, Dutch, Chinese, Portuguese, Swedish, Spanish, Arabic and Persian). ...
Engineering an aligned gold-standard corpus of human to machine oriented Controlled Natural Language
(IEEE, 2018-12-03)
Knowledge base creation and population are an essential formal backbone for a variety of intelligent applications, decision support and expert systems and intelligent search. While the abundance of unstructured text helps ...
Implicit and explicit aspect extraction in financial microblogs
(Association for Computational Linguistics, 2018-07-15)
This paper focuses on aspect extraction
which is a sub-task of Aspect-based Sentiment Analysis. The goal is to report an
extraction method of financial aspects in
microblog messages. Our approach uses
a stock-investment ...
WWW'18 open challenge: financial opinion mining and question answering
(Association for Computing Machinery, 2018-04-23)
The growing maturity of Natural Language Processing (NLP) techniques and resources is dramatically changing the landscape of
many application domains which are dependent on the analysis of
unstructured data at scale. The ...
A random walk model for entity relatedness
(Springer Verlag, 2018-10-31)
Semantic relatedness is a critical measure for a wide variety of applications nowadays. Numerous models, including path-based, have been proposed for this task with great success in many applications during the last few ...
Knowledge base completion using distinct subgraph paths
(ACM, 2018-04-09)
Graph feature models facilitate efficient and interpretable predictions of missing links in knowledge bases with network structure (i.e. knowledge graphs). However, existing graph feature models-e.g. Subgraph Feature ...
MixedEmotions: An open-source toolbox for multi-modal emotion analysis
(IEEE, 2018-01-25)
Recently, there is an increasing tendency to embed the functionality of recognizing emotions from the user generated contents, to infer richer profile about the users or contents, that can be used for various automated ...
Truth or lie: Automatically fact checking news
(ACM, 2018-04-23)
In the actual scenario of ever-growing data consumption speed and quantity, factors like news source decentralization, citizen journalism and democratization of media, make the task of manually checking and correcting ...