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Answer Interaction in Non-factoid Question Answering Systems

Chen Qu, Liu Yang, W. Bruce Croft, Falk Scholer, Yongfeng Zhang
2019 Proceedings of the 2019 Conference on Human Information Interaction and Retrieval - CHIIR '19  
In this paper, we use Amazon Mechanical Turk to investigate three answer presentation and interaction approaches in a non-factoid question answering setting.  ...  Information retrieval systems are evolving from document retrieval to answer retrieval.  ...  ACKNOWLEDGMENTS This work was supported in part by the Center for Intelligent Information Retrieval, NSF IIS-1715095 and ARC DP180102687.  ... 
doi:10.1145/3295750.3298946 dblp:conf/chiir/Qu0CSZ19 fatcat:xwmxk4ltv5htbm3775mlg7cydu

User-centered Non-factoid Answer Retrieval

Marwah Alaofi
2022 Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval  
Non-factoid Question Answering (QA) has recently gained substantial interest in the Information Retrieval (IR) community, with emphasis mainly given to improving classical performance metrics in response  ...  That is, the way they approach non-factoid questionanswering tasks, the language they use to express their questions and their behavior in response to the provided answers.  ...  CCS CONCEPTS • Information systems → Users and interactive retrieval; Question answering. KEYWORDS Non-factoid Question-answering, Query formulation, User behaviour  ... 
doi:10.1145/3477495.3531689 fatcat:o7zxrdn3ffgtzg6oh3i3my26gu

Overview of the TREC 2006 Question Answering Track 99

Hoa Trang Dang, Jimmy J. Lin, Diane Kelly
2006 Text Retrieval Conference  
The TREC 2006 question answering (QA) track contained two tasks: the main task and the complex, interactive question answering (ciQA) task.  ...  As in 2005, the main task consisted of series of factoid, list, and "Other" questions organized around a set of targets; in contrast to previous years, the evaluation of factoid and list responses distinguished  ...  Factoid questions The system response to a factoid question was either exactly one [doc-id, answer-string] pair or the literal string 'NIL'.  ... 
dblp:conf/trec/DangLK06 fatcat:mdaa75b4v5czbb227weaxpuuwy

Overview of the TREC 2007 Question Answering Track

Hoa Trang Dang, Diane Kelly, Jimmy J. Lin
2007 Text Retrieval Conference  
The TREC 2007 question answering (QA) track contained two tasks: the main task consisting of series of factoid, list, and "Other" questions organized around a set of targets, and the complex, interactive  ...  question answering (ciQA) task.  ...  Factoid questions The system response to a factoid question was either exactly one [doc-id, answer-string] pair or the literal string 'NIL'.  ... 
dblp:conf/trec/DangKL07 fatcat:rofh7t2mvbe73nyq25kmeaajre

User simulations for evaluating answers to question series

Jimmy Lin
2007 Information Processing & Management  
Recently, question series have become one focus of research in question answering.  ...  These series are comprised of individual factoid, list, and "other" questions organized around a central topic, and represent abstractions of user-system dialogs.  ...  We evaluated answers to list questions in the same way we evaluated answers to factoid questions: recall as a function of response length (non-whitespace characters).  ... 
doi:10.1016/j.ipm.2006.06.006 fatcat:crwf22ihffg6lpsojf3qejvh2u

End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights

Andreas Rücklé, Iryna Gurevych
2017 Proceedings of ACL 2017, System Demonstrations  
We present an extensible, highly modular service architecture that enables the transformation of neural network models for non-factoid answer selection into fully featured end-to-end question answering  ...  The primary objective of our system is to enable researchers a way to interactively explore and compare attentionbased neural networks for answer selection.  ...  Conclusion In this work, we presented a highly extensible service architecture that can transform non-factoid answer selection models into fully featured end-toend question answering systems.  ... 
doi:10.18653/v1/p17-4004 dblp:conf/acl/RuckleG17 fatcat:g6jzx5rpkfehhmr563hfojjlyu

Designing an interactive open-domain question answering system

2008 Natural Language Engineering  
Interactive question answering (QA), where a dialogue interface enables follow-up and clarification questions, is a recent although long-advocated field of research.  ...  We report on the design and implementation of YourQA, our open-domain, interactive QA system.  ...  Answers Factoid Answer Extraction Non-Factoid Answer Extraction Factoid Question?  ... 
doi:10.1017/s1351324908004919 fatcat:yuh6qlxs6jhpxid5jexxab724q

Different Facets of Text Based Automated Question Answering System

vaishali Singh
2018 International Journal for Research in Applied Science and Engineering Technology  
allows users to find the answers to their questions in precise way.  ...  Therefore, this paper attempts to present the state-of-the-art in the field of text based automatic question answering systems and provide a qualitative analysis of different facets.  ...  Interactive QA systems are capable of answering complex and non factoid questions along with factoid questions in real time.  ... 
doi:10.22214/ijraset.2018.1017 fatcat:z2l3qicgvjawpcahqyr3alk3wy

Question Answering Experiments and Resources

Boris Katz, Gregory Marton, Sue Felshin, Daniel Loreto, Ben Lu, Federico Mora, Özlem Uzuner, Michael McGraw-Herdeg, Natalie Cheung, Alexey Radul, Yuan Kui Shen, Yuan Luo (+1 others)
2006 Text Retrieval Conference  
Both are based on the best answers from our non-interactive system.  ...  , established a baseline for other systems in the interactive task, and focused on question analysis and paraphrasing, rather than incorporation of external knowledge, in the factoid task.  ... 
dblp:conf/trec/KatzMFLLMUMCRSLZ06 fatcat:2v2hhzmkpnf7ncszfud5o3zboi

A Neural Network-based Framework for Non-factoid Question Answering

Nam Khanh Tran, Claudia Niederée
2018 Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18  
In this paper, we present a neural network based framework for answering non-factoid questions. The framework consists of two main components: Answer Retriever and Answer Ranker.  ...  In the first component, we leverage off-the-shelf retrieval models (e.g. bm25) to retrieve a pool of candidate answers regarding to the input question.  ...  Full Non-factoid Question Answering Table 5 and Table 6 show the overall performance of our system for answering non-factoid questions from FiQA dataset.  ... 
doi:10.1145/3184558.3191830 dblp:conf/www/TranN18 fatcat:p2cuxyry7jggxouvpzg642g4eu

Follow-up question handling in the IMIX and Ritel systems: A comparative study

2008 Natural Language Engineering  
These two systems are each other's opposites in many respects: IMIX is multimodal, non-factoid, black-box QA, while Ritel is speech, factoid, keyword-based QA.  ...  We shall look at how the systems are composed, and how real, non-expert, users interact with the systems.  ...  Nevertheless, the goal is meaningful in the factoid context, as the subset of factoid answers in the IMIX experiments did elicit as many discourse questions as did non-factoid answers.  ... 
doi:10.1017/s1351324908004920 fatcat:vm4t2dfxnvc35nncunpraaamqu

If You Can't Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking

Dasha Bogdanova, Jennifer Foster, Daria Dzendzik, Qun Liu
2017 Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers  
We show that a neural approach to the task of non-factoid answer reranking can benefit from the inclusion of tried-and-tested handcrafted features.  ...  We present a novel neural network architecture based on a combination of recurrent neural networks that are used to encode questions and answers, and a multilayer perceptron.  ...  Acknowledgements This research is supported by Science Foundation Ireland through the CNGL Programme (Grant 12/CE/I2267) in the ADAPT Centre for Digital Content Technology.  ... 
doi:10.18653/v1/e17-1012 dblp:conf/eacl/LiuFBD17 fatcat:3u6mznvh7ffjbjfv37qt6gdxg4

ConfNet2Seq: Full Length Answer Generation from Spoken Questions [article]

Vaishali Pal, Manish Shrivastava, Laurent Besacier
2020 arXiv   pre-print
We propose a novel system to generate full length natural language answers from spoken questions and factoid answers.  ...  We release a large-scale dataset of 259,788 samples of spoken questions, their factoid answers and corresponding full-length textual answers.  ...  Models Our system generates full length answer from a textual factoid answer and spoken question.  ... 
arXiv:2006.05163v2 fatcat:jtrs337uv5dk7pucsarueupzla

Question Level based Opinion Generation in Web based Interactive Systems

Rajimol R, Vinodh P Vijayan
2016 International Journal of Computer Applications Technology and Research  
The greatest challenge in opinion generation system is to understand the meaning of the question asked and answering the question correctly based on the knowledge level of users.  ...  The solution for this is the question level based opinion generation system, which generate opinions by understanding the in-depth meaning of the question.  ...  Speech based interactive information system is basically a question answering system. System works in two modes [7] .  ... 
doi:10.7753/ijcatr0502.1009 fatcat:rqkmwsvrufgjfk5dbkiatv4ksy

From Babel to Knowledge

Daniel J. Cohen
2006 D-Lib Magazine  
The TREC 2004 Question Answering track contained a single task in which question series were used to define a set of targets.  ...  Each series contained factoid and list questions and related to a single target.  ...  (But note there are only 62 initial factoid questions and 168 non-initial factoid questions.)  ... 
doi:10.1045/march2006-cohen fatcat:4ddkch4mljfb5cxwwkno5fbzdm
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