Much of the data found on the world wide web is in numeric, tabular, or other nontextual format (e.g., weather forecast tables, stock market charts, live sensor feeds), and thus inaccessible to non-experts or laypersons. However, most conventional search engines and nat...

<p>This is the dataset used in the paper:&nbsp;Automatic Document Screening of Medical Literature Using Word and Text Embeddings in an Active Learning Setting.&nbsp;</p> <p>It is composed of:&nbsp;</p> <p>- Pre-trained models using active learning for document screening...

This article has the Working Notes about the Universidade de Évora's participation in QA@CLEF2007 (http://www.clef-campaign.org/), based on the Senso question answer system and the Portuguese monolingual task.

This article has the Working Notes about the Universidade de Évora's participation in QA@CLEF2008 (http://www.clef-campaign.org/), based on the Senso question answer system and the Portuguese monolingual task.

This paper describes a system for problem phrase extraction from texts that contain users' reviews of products. In contrast to recent works, this system is based on dictionaries and heuristics, not a machine learning algorithms. We explored two approaches to dictionary ...

Domain ontologies are important resources in several tasks related to the language processing, especially in those related to information retrieval and extraction in textual bases. A proposal for an ontological structuring of verbs belonging to the juridical domain is p...

To visualize and compare three text analysis algorithms of sentiment (AFINN, Bing, Syuzhet), applied to 1549 ecologically assessed self-report stress notes obtained by smartphone, in order to gain insights about stress measurement and management.

non-peer-reviewed Presented in this thesis is the design, implementation and evaluation of a finite state morphological parser for Mohawk formal nouns. Utilizing the finite state morphology software designed by Beesely and Karttunen (2003) along with three of the most c...

<p>In this work we describe the Waiting List Corpus consisting of de-identified referrals for several specialty consultations from the waiting list in Chilean public hospitals. A subset of 3000&nbsp;referrals was manually annotated with 27892&nbsp;entities, 1272&nbsp;at...

The objectives of the Corpus Acquisition and Annotation (CAA) subsystem are the acquisition and processing of monolingual and bilingual language resources (LRs) required in the PANACEA context. Therefore, the CAA subsystem includes: i) a Corpus Acquisition Component (CA...