Machine reading comprehension (MRC), which requires a machine to answer questions
based on a given context, has attracted increasing attention with the incorporation of various …

Teaching machines to read natural language documents remains an elusive challenge.
Machine reading systems can be tested on their ability to answer questions posed on the …

Abstract Machine reading comprehension tasks require a machine reader to answer
questions relevant to the given document. In this paper, we present the first free-form …

OBJECTIVES The use of the hepatic venous pressure gradient (HVPG) to assess the
efficacy of the pharmacological treatment of portal hypertension in cirrhosis is controversial …

We present WiBi, an approach to the automatic creation of a bitaxonomy for Wikipedia, that
is, an integrated taxonomy of Wikipage pages and categories. We leverage the information …

A knowledge base for real-world language processing applications should consist of a large
base of facts and reasoning mechanisms that combine them to induce novel and more …

Achieving automatic question-and-answering for agricultural scenarios based on machine
reading comprehension can facilitate production staff to query information and process data …

In this paper we present an approach aimed at enriching the Open Information Extraction
paradigm with semantic relation ontologization by integrating syntactic and semantic …

Multiple-choice question answering (MCQA) for machine reading comprehension (MRC) is
challenging. It requires a model to select a correct answer from several candidate options …

We present MultiWiBi, an approach to the automatic creation of two integrated taxonomies
for Wikipedia pages and categories written in different languages. In order to create both …