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An exploration of the principles underlying redundancy-based factoid question answering

Jimmy Lin
2007 ACM Transactions on Information Systems  
The so-called "redundancy-based" approach to question answering represents a successful strategy for mining answers to factoid questions such as "Who shot Abraham Lincoln?" from the World Wide Web.  ...  redundancy-based methods encode a substantial amount of knowledge in the form of heuristics.  ...  Generalizations Although this work describes experiments with Aranea, our broader goal is to explore the general principles underlying redundancy-based factoid question answering.  ... 
doi:10.1145/1229179.1229180 fatcat:l2pwnam7qvh6xbp6a3krpoidpq

Olelo: a web application for intuitive exploration of biomedical literature

Milena Kraus, Julian Niedermeier, Marcel Jankrift, Sören Tietböhl, Toni Stachewicz, Hendrik Folkerts, Matthias Uflacker, Mariana Neves
2017 Nucleic Acids Research  
Question answering systems are an alternative to keyword searches.  ...  They allow questions in natural language as input and results reflect the given type of question, such as short answers and summaries.  ...  We would also like to thank Dr Christian Gerecke (University of Potsdam) for his helpful insights on our user stories.  ... 
doi:10.1093/nar/gkx363 pmid:28472397 pmcid:PMC5570143 fatcat:u5cbaqdmazelpianhpshtpext4

Recent Advances in Automated Question Answering In Biomedical Domain [article]

Krishanu Das Baksi
2021 arXiv   pre-print
The objective of automated Question Answering (QA) systems is to provide answers to user queries in a time efficient manner.  ...  The answers are usually found in either databases (or knowledge bases) or a collection of documents commonly referred to as the corpus.  ...  BioAnswerfinder [139] predicts the exact or factoid answers by using an unsupervised rule based method from retrieved answer sentences.  ... 
arXiv:2111.05937v1 fatcat:5474jk6ozbalvmfjrgatu4tsna

Answer extraction, semantic clustering, and extractive summarization for clinical question answering

Dina Demner-Fushman, Jimmy Lin
2006 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06  
We tackle a frequently-occurring class of questions that takes the form "What is the best drug treatment for X?"  ...  This paper presents a hybrid approach to question answering in the clinical domain that combines techniques from summarization and information retrieval.  ...  Our research follows the principles of evidencebased medicine (EBM) (Sackett et al., 2000) , which provides a well-defined model to guide the process of clinical question answering.  ... 
doi:10.3115/1220175.1220281 dblp:conf/acl/Demner-FushmanL06 fatcat:2azk2kzycfd7fdzmfdlm3xc6vq

Learning to Rank Answers to Non-Factoid Questions from Web Collections

Mihai Surdeanu, Massimiliano Ciaramita, Hugo Zaragoza
2011 Computational Linguistics  
This work investigates the use of linguistically motivated features to improve search, in particular for ranking answers to non-factoid questions.  ...  We show that it is possible to exploit existing large collections of question-answer pairs (from online social Question Answering sites) to extract such features and train ranking models which combine  ...  Conclusions In this work we describe an answer ranking system for non-factoid questions built using a large community-generated question-answer collection.  ... 
doi:10.1162/coli_a_00051 fatcat:l6eao4y535hljip2jr3auze44m

Combining Information Seeking Services into a Meta Supply Chain of Facts

Dmitri Roussinov, Michael Chau
2008 Journal of the AIS  
Inspired by prior research on keyword based meta search engines (e.g. metacrawler.com) we have adapted the existing question answering algorithms to the task of analysis and triangulation of facts.  ...  Our meta engine sends a user's question to several fact seeking services that are publicly available on the Web and analyzes the returned results jointly to identify and present to the user those that  ...  Acknowledgments The authors would like to thank Kevin Lee and Boby Shiu at the University of Hong Kong for their programming help in this project.  ... 
doi:10.17705/1jais.00154 fatcat:duibw4fubzhg3pz5xkiavuuy5i

Challenges in information retrieval and language modeling

James Allan, David J. Harper, Djoerd Hiemstra, Thomas Hofmann, Eduard Hovy, Wessel Kraaij, John Lafferty, Victor Lavrenko, David Lewis, Liz Liddy, R. Manmatha, Jay Aslam (+24 others)
2003 SIGIR Forum  
Those areas are retrieval models, cross-lingual retrieval Web search, user modeling, filtering, topic detection and tracking, classification, summarization, question answering, metasearch, distributed  ...  The attendees of the workshop considered information retrieval research in a range of areas chosen to give broad coverage of topic areas that engage information retrieval researchers.  ...  Cross-lingual (factoid) question answering would allow posing factoid questions (e.g., asking who, what organization, when, or where) in English and receive answers in English, based on documents (in English  ... 
doi:10.1145/945546.945549 fatcat:h6xsh2uzwzdfdi4g4ypw6ximrq

Combining Linguistic Processing and Web Mining for Question Answering: ITC-irst at TREC 2004

Hristo Tanev, Milen Kouylekov, Bernardo Magnini
2004 Text Retrieval Conference  
We also report about the problems we encountered in maintaining the Web-based answer validation module.  ...  This paper describes the work we have been done in the last year on the DIOGENE Question Answering system developed at ITC-Irst.  ...  module based on Web redundancy.  ... 
dblp:conf/trec/TanevKM04 fatcat:ghsflsph5rhbhnshah2c4z4cfe

A survey on question answering technology from an information retrieval perspective

Oleksandr Kolomiyets, Marie-Francine Moens
2011 Information Sciences  
It presents the question answering task from an information retrieval perspective and emphasises the importance of retrieval models, i.e., representations of queries and information documents, and retrieval  ...  The survey suggests a general question answering architecture that steadily increases the complexity of the representation level of questions and information objects.  ...  For factual open domain question answering, where the information redundancy online can be exploited, such an analysis might not pay off the effort.  ... 
doi:10.1016/j.ins.2011.07.047 fatcat:se6dcorj2jbidath35go5wi5yy

Generating Instructive Questions from Multiple Articles to Guide Reading in E-Bibliotherapy

Yunxing Xin, Lei Cao, Xin Wang, Xiaohao He, Ling Feng
2021 Sensors  
Due to the extensibility of question expressions, we incorporate three groups of automatic evaluation metrics as well as one group of human evaluation metrics to examine the quality of the generated questions  ...  Four solutions based on the neural encoder-decoder model are presented to tackle the task.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21093223 pmid:34066519 fatcat:hch5o7y5svfpdezmobttntgj4a

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering [article]

Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, Tat-Seng Chua
2021 arXiv   pre-print
Open-domain Question Answering (OpenQA) is an important task in Natural Language Processing (NLP), which aims to answer a question in the form of natural language based on large-scale unstructured documents  ...  We then discuss key challenges to developing OpenQA systems and offer an analysis of benchmarks that are commonly used.  ...  ACKNOWLEDGEMENTS This research is supported by the National Research Foundation, Singapore under its International Research Centres in Singapore Funding Initiative and A*STAR under its RIE  ... 
arXiv:2101.00774v3 fatcat:6evkg5cikjdp5fsi3ou3iqqkyq

Where Was COVID-19 First Discovered? Designing a Question-Answering System for Pandemic Situations [article]

Johannes Graf, Gino Lancho, Patrick Zschech, Kai Heinrich
2022 arXiv   pre-print
Our implementation is based on the comprehensive CORD-19 dataset, and we demonstrate our artifact's usefulness by evaluating its answer quality based on a sample of COVID-19 questions labeled by biomedical  ...  On this basis, we derived prescriptive design knowledge in terms of design requirements and design principles, which we translated into the construction of a prototypical instantiation.  ...  They generally perform well on factoid questions but at the same time also suffer from the limitation that they are constrained to the underlying database and logical model, implying that they are inflexible  ... 
arXiv:2204.08787v1 fatcat:54jbog42aveaze2xcikqt25ei4

L-Diversity Based Dynamic Update for Large Time-Evolving Microdata [chapter]

Xiaoxun Sun, Hua Wang, Jiuyong Li
2008 Lecture Notes in Computer Science  
In this paper, we consider two aspects which affect the performance of factoid FrameNet-based Question Answering (QA): i) the frame semantic-based answer processing technique based on frame semantic alignment  ...  In this paper, we consider two aspects which affect the performance of factoid FrameNet-based Question Answering (QA): i) the frame semantic-based answer processing technique based on frame semantic alignment  ... 
doi:10.1007/978-3-540-89378-3_47 fatcat:3srytfhtszejdidu62nvzwia3m

Modeling Multi-hop Question Answering as Single Sequence Prediction [article]

Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong
2022 arXiv   pre-print
By linearizing the hierarchical reasoning path of supporting passages, their key sentences, and finally the factoid answer, we cast the problem as a single sequence prediction task.  ...  Fusion-in-decoder (Fid) (Izacard and Grave, 2020) is a generative question answering (QA) model that leverages passage retrieval with a pre-trained transformer and pushed the state of the art on single-hop  ...  Acknowledgments The authors would like to thank the members of Salesforce AI Research team for fruitful discussions, as well as the anonymous reviewers for their helpful feedback.  ... 
arXiv:2205.09226v1 fatcat:z3utltlk4zhlhppratmhnmu43m

Is Question Answering fit for the Semantic Web?: A survey

Vanessa Lopez, Victoria Uren, Marta Sabou, Enrico Motta
2011 Semantic Web Journal  
We present a survey on ontology-based Question Answering (QA), which has emerged in recent years to exploit the opportunities offered by structured semantic information on the Web.  ...  User-friendly interfaces, which can support end users in querying and exploring this novel and diverse, structured information space, are needed to make the vision of the SW a reality.  ...  Acknowledgments Research funded under the Smart-Products European project (EC-231204).  ... 
doi:10.3233/sw-2011-0041 fatcat:ub7ja3qgzvcjrgeqdfk3g7huwa
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