Search results for "question answering"

Do you know what you are reading for? Exploring the effects of a task model enhancement on fifth graders' purposeful reading

2021

International audience; Background: Drawing on theories of purposeful reading, this study explored task conditions that support fifth graders' selective reading of documents in order to answer questions. More specifically, we investigated whether promoting students' elaboration of their task model increases task performance. Methods: Participants had to answer series of questions by searching documents for the relevant information. Half the participants received a task model prompt, and half received a control prompt. Participants' eye movements were recorded during text search, in order to investigate more precisely the effect of an enhanced task model. Results: Participants provided more …

Delaying elaborated feedback within computer‐based learning environments: The role of summative and question‐based feedback

2021

ChiLab4It system in the QA4FAQ competition

2017

ChiLab4It is the Question Answering system (QA) for Frequently Asked Questions (FAQ) developed by the Computer-Human Interaction Laboratory (ChiLab) at the University of Palermo for participating to the QA4FAQ task at EVALITA 2016 competition. The system is the versioning of the QuASIt framework developed by the same authors, which has been customized to address the particular task. This technical report describes the strategies that have been imported from QuASIt for implementing ChiLab4It, the actual system implementation, and the comparative evaluations with the results of the other participant tools, as provided by the organizers of the task. ChiLab4It was the only system whose score re…

Structured query construction via knowledge graph embedding

2020

In order to facilitate the accesses of general users to knowledge graphs, an increasing effort is being exerted to construct graph-structured queries of given natural language questions. At the core of the construction is to deduce the structure of the target query and determine the vertices/edges which constitute the query. Existing query construction methods rely on question understanding and conventional graph-based algorithms which lead to inefficient and degraded performances facing complex natural language questions over knowledge graphs with large scales. In this paper, we focus on this problem and propose a novel framework standing on recent knowledge graph embedding techniques. Our…

Effects of timing of formative feedback in computer‐assisted learning environments

2020

ETAT: Expository Text Analysis Tool.

2002

Qualitative methods that analyze the coherence of expository texts not only are time consuming, but also present challenges in collecting data on coding reliability. We describe software that analyzes expository texts more rapidly and produces a notable level of objectivity. ETAT (Expository Text Analysis Tool) analyzes the coherence of expository texts. ETAT adopts a symbolic representational system, known as conceptual graph structures. ETAT follows three steps: segmentation of a text into nodes, classification of the unidentified nodes, and linking the nodes with relational arcs. ETAT automatically constructs a graph in the form of nodes and their interrelationships, along with various a…

Embedded controlled language to facilitate information extraction from eGov policies

2015

The goal of this paper is to propose a system that can extract formal semantic knowledge representation from natural language eGov policies. We present an architecture that allows for extracting Controlled Natural Language (CNL) statements from heterogeneous natural language texts with the ability to support multilinguality. The approach is based on the concept of embedded CNLs.

Selecting information to answer questions: Strategic individual differences when searching texts

2011

The purpose of the study was to explore students’ selection of information strategies in a task-oriented reading situation. 72 secondary school students read two texts and answered six questions per text, three of which were manipulated to induce a misleading matching between the wording of the question and distracting pieces of information in the text. The reading and question-answering were presented with the software Read&Answer. We analyzed how skilled and less-skilled comprehenders were attracted to the distracting pieces of information and how this affected reading patterns and task outcomes. Skilled comprehenders scored higher and were able to discard the distracting information. In …

Current communication technologies in language processing

2015

Even the most cutting-edge communication-mediated technology like satellite navigation for orbit positioning, pedestrian movement recognition systems based on inertial sensors, 5G systems, let alone medical devices for coordination of human organs functionality would not be invented without technologies for language processing as an information source between humans and communication systems. Regardless of the way we communicate that is via emails, website short tweets, video conferencing systems, social networking, blogs, instant messaging through websites or mobile applications, or texting only, we use a language that is processed by computer system. Thus, the keynote paper discusses lang…

Impact of question-answering tasks on search processes and reading comprehension

2009

Abstract This study examined the effect of (a) high- and low-level questions and (b) reading the text before the questions asked on performance, delayed text recall, and deep text comprehension, as well as on specific text-inspection patterns. Participants were 37 undergraduate students who answered either high- or low-level questions using the software Read&Answer to read and answer questions on the computer screen. Additionally, half of the sample read first a text and then answered the questions (reading-first condition), whereas the other half answered the questions without having read the text in advance (no-reading-first condition). All participants had the text available to search fo…