Publishing Partner: Cambridge University Press CUP Extra Wiley-Blackwell Publisher Login
amazon logo
More Info


New from Oxford University Press!

ad

The Vulgar Tongue: Green's History of Slang

By Jonathon Green

A comprehensive history of slang in the English speaking world by its leading lexicographer.


New from Cambridge University Press!

ad

The Universal Structure of Categories: Towards a Formal Typology

By Martina Wiltschko

This book presents a new theory of grammatical categories - the Universal Spine Hypothesis - and reinforces generative notions of Universal Grammar while accommodating insights from linguistic typology.


New from Brill!

ad

Brill's MyBook Program

Do you have access to Dynamics of Morphological Productivity through your library? Then you can by the paperback for only €25 or $25! Find out more about Brill's MyBook program!


Academic Paper


Title: When the answer comes into question in question-answering: survey and open issues
Author: Ana Cristina Mendes
Institution: Technical University of Lisbon
Author: Luísa Coheur
Institution: Technical University of Lisbon
Linguistic Field: Computational Linguistics
Abstract: The answer determines the success of a Question-Answering (QA) system. In redundancy-based QA systems, a common approach is to extract the candidate answers from the information sources and select the most frequent answers as the final answers. However, this strategy has some pitfalls. For instance, if a system is not able to detect equivalences between the candidate answers, their frequencies might be erroneously calculated. Moreover, the user who posed the question should also be taken into account when answering: different persons require different (correct) answers. This can involve the use of suitable vocabulary and/or information details. In these situations, the generation of a response can be a more suitable strategy, instead of the extraction and direct retrieval of the answer from the information sources. The present survey targets the state of the art in the answering task in QA under three different lines of research. First, we present several works that focus on relating candidate answers. Then, we recover the concept of cooperative answer – a correct, useful, and non-misleading answer – and we bring up attempts to address cooperative answering. Finally, we investigate the research community endeavors on response generation. We will also present our perspective on each of these three topics throughout this paper.

CUP at LINGUIST

This article appears in Natural Language Engineering Vol. 19, Issue 1, which you can read on Cambridge's site or on LINGUIST .



Back
Add a new paper
Return to Academic Papers main page
Return to Directory of Linguists main page