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Social QA

Rich Gazan
2011 Journal of the American Society for Information Science and Technology  
This article presents a review and analysis of the research literature in social Q&A (SQA), a term describing systems where people ask, answer, and rate content while interacting around it.  ...  in SQA sites, refining question categorization, conducting research within and across a wider range of SQA sites, the application of economic and game-theoretic models, and the problematization of SQA  ...  for the various roles and motivations of participants in SQA sites.  ... 
doi:10.1002/asi.21562 fatcat:pvmksnq4zvdcfovjykdv6lufpm

Utilizing Non-QA Data to Improve Questions Routing for Users with Low QA Activity in CQA

Ivan Srba, Marek Grznar, Maria Bielikova
2015 Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15  
It implies that non-QA data can supplement QA data during expertise estimation in question routing and thus also improve a success rate of a questions answering process.  ...  The existing CQA systems, despite their overall successfulness and popularity, fail to answer a significant amount of questions in required time.  ...  Methods Compared In order verify our assumption that non-QA data can supplement QA data during question routing, we compared the performance of three possible variants of the proposed question routing  ... 
doi:10.1145/2808797.2809331 dblp:conf/asunam/SrbaGB15 fatcat:ymuumqjkcnbqrnpvmkxza63dpm

QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions [article]

Daniela Brook Weiss, Paul Roit, Ayal Klein, Ori Ernst, Ido Dagan
2021 arXiv   pre-print
We employ crowd-workers for constructing a dataset of QA-based alignments, and present a baseline QA alignment model trained over our dataset.  ...  In order to explicitly represent content overlap, we propose to align predicate-argument relations across texts, providing a potential scaffold for information consolidation.  ...  The work described herein was supported in part by grants from Intel Labs, Facebook, and the Israel Science Foundation grant 1951/17. References  ... 
arXiv:2109.12655v1 fatcat:5o2axfat4nam7ecdh227i7ua7q

On Generating Characteristic-rich Question Sets for QA Evaluation

Yu Su, Huan Sun, Brian Sadler, Mudhakar Srivatsa, Izzeddin Gur, Zenghui Yan, Xifeng Yan
2016 Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing  
We construct a new QA dataset with over 5,000 logical form-question pairs, associated with answers from the knowledge base, and show that datasets constructed in this way enable finegrained analyses of  ...  The dataset can be found in https://github.com/ ysu1989/GraphQuestions.  ...  The views and conclusions contained herein are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or  ... 
doi:10.18653/v1/d16-1054 dblp:conf/emnlp/SuSSSGYY16 fatcat:dlrgjq4hwfhmfpvk5ovz7u4g7a

A comparative analysis on question classification task based on deep learning approaches

Muhammad Zulqarnain, Ahmed Khalaf Zager Alsaedi, Rozaida Ghazali, Muhammad Ghulam Ghouse, Wareesa Sharif, Noor Aida Husaini
2021 PeerJ Computer Science  
By comparing analysis, we conducted an experiment on deep learning architectures based on test and 10-cross fold validation accuracy.  ...  Experiment results were obtained to illustrate the effectiveness of various Word2vec techniques that have a considerable impact on the accuracy rate using different deep learning approaches.  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.7717/peerj-cs.570 fatcat:kwsr6ozxczfmxkm6pwum2zhan4

Enhancing QA Systems with Complex Temporal Question Processing Capabilities

E. Saquete, J. Luis Vicedo, P. Martínez-Barco, R. Muñoz, H. Llorens
2009 The Journal of Artificial Intelligence Research  
The temporal layer was first performed for English, then evaluated and compared with: a) a general purpose QA system (F-measure 65.47% for QA plus English temporal layer vs. 38.01% for the general QA system  ...  In this paper we also present a methodology for evaluation of the decomposition of the questions as well as the ability of the implemented temporal layer to perform at a multilingual level.  ...  Acknowledgments This paper has been partially supported by the Spanish government, project TIN-2006-15265-C06-01, and by the framework of the project QALL-ME, which is a 6th Framework Research Programme  ... 
doi:10.1613/jair.2805 fatcat:fol4nub5yjgvxnft65vec75eq4

Avoiding, finding and fixing spreadsheet errors – A survey of automated approaches for spreadsheet QA

Dietmar Jannach, Thomas Schmitz, Birgit Hofer, Franz Wotawa
2014 Journal of Systems and Software  
In this paper, we provide a review of the research literature and develop a classification of automated spreadsheet quality assurance (QA) approaches, which range from spreadsheet visualization, static  ...  Based on this review, we outline possible opportunities for future work in the area of automated spreadsheet QA.  ...  Acknowledgements This work was partially supported by the European Union through the programme "Europäischer Fonds für regionale Entwicklung -Investition in unsere Zukunft" under contract number 300251802  ... 
doi:10.1016/j.jss.2014.03.058 fatcat:toshi3e47fgadgsq2rclfabfvm

ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering

Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, Dacheng Tao
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
We present a statistical analysis of our ActivityNet-QA dataset and conduct extensive experiments on it by comparing existing VideoQA baselines.  ...  The dataset consists of 58,000 QA pairs on 5,800 complex web videos derived from the popular ActivityNet dataset.  ...  Note that the focus of this paper is the constructed ActivityNet-QA dataset and a discussion of what influences the performance on the dataset.  ... 
doi:10.1609/aaai.v33i01.33019127 fatcat:jhufzdnplvf6hhn47se37ongce

Social-QAS: Tailorable Quality Assessment Service for Social Media Content [chapter]

Christian Reuter, Thomas Ludwig, Michael Ritzkatis, Volkmar Pipek
2015 Lecture Notes in Computer Science  
A presentation of related work is followed by an empirical study on the use of social media in the field of emergency management, focusing on situation assessment practices by the emergency services.  ...  This paper researches how a tailorable quality assessment service can assist the use of citizen-generated content from social media.  ...  The research project EmerGent' was funded by a grant of the European Union (FP7 No. 608352).  ... 
doi:10.1007/978-3-319-18425-8_11 fatcat:i6zswwvbrremtl5dfnzosjvufa

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages [article]

Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, Jennimaria Palomaki
2020 arXiv   pre-print
We present a quantitative analysis of the data quality and example-level qualitative linguistic analyses of observed language phenomena that would not be found in English-only corpora.  ...  in each language without the use of translation.  ...  We also thank Fadi Biadsy, Geeta Madhavi Kala, Iftekhar Naim, Maftuhah Ismail, Rola Najem, Taku Kudo, and Takaki Makino for their help in proofing the data for quality.  ... 
arXiv:2003.05002v1 fatcat:neolqoeupncjxhbhifyuenyjky

Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA

Yichen Jiang, Mohit Bansal
2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics  
Multi-hop question answering requires a model to connect multiple pieces of evidence scattered in a long context to answer the question.  ...  question with a sentence in the context.  ...  The views, opinions, and/or findings contained in this article are those of the authors and should not be interpreted as representing the official views or policies, either expressed or implied, of the  ... 
doi:10.18653/v1/p19-1262 dblp:conf/acl/JiangB19 fatcat:5csgealiq5crvfxffslkctkaty

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, Jennimaria Palomaki
2020 Transactions of the Association for Computational Linguistics  
We present a quantitative analysis of the data quality and example-level qualitative linguistic analyses of observed language phenomena that would not be found in English-only corpora.  ...  in each language without the use of translation.  ...  We also thank Fadi Biadsy, Geeta Madhavi Kala, Iftekhar Naim, Maftuhah Ismail, Rola Najem, Taku Kudo, and Takaki Makino for their help in proofing the data for quality.  ... 
doi:10.1162/tacl_a_00317 fatcat:ezqpqzns5baxpne2vzekkjkvoi

"How much change do you get from 40$?" - Analyzing and addressing failed questions on social QA

Chirag Shah, Marie L. Radford, Lynn Silipigni Connaway, Erik Choi, Vanessa Kitzie
2012 Proceedings of the American Society for Information Science and Technology  
Answers and WikiAnswers, have experienced more success in reaching out to the masses and leveraging subsequent participation.  ...  However, the large volume of content on some of the more popular SQA sites renders participants unable to answer some posted questions adequately or even at all.  ...  of Museum and Library Services (IMLS), Rutgers, The State University of New Jersey, and OCLC, Inc.  ... 
doi:10.1002/meet.14504901119 fatcat:lggltbjzsvfffkbz2vqf2m55ai

A Knowledge-Based Sense Disambiguation Method to Semantically Enhanced NL Question for Restricted Domain

Ammar Arbaaeen, Asadullah Shah
2021 Information  
Extracting the lexical semantic of a Natural Language (NL) question presents challenges at syntactic and semantic levels for most QA systems.  ...  Many studies have achieved encouraging results in lexical semantic resolution on the topic of word sense disambiguation (WSD), and several other works consider these challenges in the context of QA applications  ...  The shallow semantic analysis defines phrases of a sentence with semantic roles relevant to a target lexical item whereas deep-semantic analysis is described by a standard representation of logic languages  ... 
doi:10.3390/info12110452 fatcat:ynxlsrfstrh77mod64243nxoge

A framework for intelligent question answering system using semantic context-specific document clustering and Wordnet

K Karpagam, A Saradha
2019 Sadhana (Bangalore)  
The question answering system plays an important role in information retrieval field, where the user is in need of getting a precise answer instead of large collections of documents.  ...  The proposed semantic-word-based answer generator model deals with the user query mapping with an appropriate sentence in the knowledge base.  ...  It inculcates the knowledge about the role of Wordnet glosses in performing better QA systems.  ... 
doi:10.1007/s12046-018-1022-8 fatcat:d5tgy5supvgl5d6266za6bbhly
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