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Evaluating Passage Retrieval Approaches for Question Answering
[chapter]
2004
Lecture Notes in Computer Science
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recall and precision measures, and (b) demonstrate their use in evaluating a variety of passage retrieval approaches using questions from TREC-9 and TREC 2001. ...
collection which are likely to contain answers, and then these passages are analysed in detail to extract answers from them. ...
correct answer can be found within the top n passages retrieved for each question. ...
doi:10.1007/978-3-540-24752-4_6
fatcat:l2de4l73lzhidmenemnwcx2buq
A Method of Passage-Based Document Retrieval in Question Answering System
[article]
2015
arXiv
pre-print
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We propose a method for using the scoring values of passages to effectively retrieve documents in a Question Answering system. ...
For this, we suggest evaluation function that considers proximity between each question terms in passage. ...
Conclusion We presented a method for using the scoring values of passages to effectively retrieve documents in a Question Answering system. ...
arXiv:1512.05437v1
fatcat:vozmo5wn5jglzjg54ihxnvehya
Weakly-Supervised Open-Retrieval Conversational Question Answering
[article]
2021
arXiv
pre-print
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This open-retrieval ConvQA setting typically assumes that each question is answerable by a single span of text within a particular passage (a span answer). ...
Therefore, we introduce a learned weak supervision approach that can identify a paraphrased span of the known answer in a passage. ...
Acknowledgments This work was supported in part by the Center for Intelligent Information Retrieval and in part by NSF IIS-1715095. ...
arXiv:2103.02537v1
fatcat:4uu7yyemo5dplkamelekoasuwa
An Interactive e-Government Question Answering System
2016
Lernen, Wissen, Daten, Analysen
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In this paper, we describe an information retrieval-based question answering (QA) system for the e-government domain. ...
The system successfully handles ambiguous questions by combining retrieval methods, task trees and a rule-based approach. ...
Each question is associated with the correct set of answer documents. For the passage retrieval evaluation we annotate 70 questions with their corresponding answers. ...
dblp:conf/lwa/SchwarzerDPL16
fatcat:p2n5cwnwmfgnte6h2rbxzj4h6i
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
[article]
2021
arXiv
pre-print
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Generative models for open domain question answering have proven to be competitive, without resorting to external knowledge. ...
In this paper, we investigate how much these models can benefit from retrieving text passages, potentially containing evidence. ...
In table 1, we compare the results obtained by Fusion-in-Decoder with existing approaches for open domain question answering. ...
arXiv:2007.01282v2
fatcat:r7ycylnttvc43pm5gwltoggqbu
Passage Reranking for Question Answering Using Syntactic Structures and Answer Types
[chapter]
2011
Lecture Notes in Computer Science
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Passage Retrieval is a crucial step in question answering systems, one that has been well researched in the past. ...
Whereas in previous work, passages are reranked only on the basis of syntactic structures of questions and answers, our method achieves a better ranking by aligning the syntactic structures based on the ...
This work was supported in part by the Center for Intelligent Information Retrieval. ...
doi:10.1007/978-3-642-20161-5_62
fatcat:az6iraob2nggfhgtvcflpqchya
Contextual Approach for Paragraph Selection in Question Answering Task
2010
Conference and Labs of the Evaluation Forum
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We use the techniques of state-of-the art publicly available question answering systems, i.e. ...
Our approach has a c@1 measure of 0.73 for our pattern-based context configuration and 0.64 for our n-gram-based context configuration. ...
Conclusions and Future Works In this paper we have described our context supporting approach in passage retrieval question answering for the English monolingual task. ...
dblp:conf/clef/TobaSAM10
fatcat:6w5sxutxf5fc7kylvw4fnjshdu
Document Retrieval in the Context of Question Answering
[chapter]
2003
Lecture Notes in Computer Science
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A question answering system heavily depends on the effectiveness of a retrieval system: If a retrieval system fails to find any relevant documents for a question, further processing steps to extract an ...
In this paper, we compare the effectiveness of some common retrieval techniques with respect to their usefulness for question answering. ...
The author was supported by the Physical Sciences Council with financial support from the Netherlands Organization for Scientific Research (NWO), project 612-13-001. ...
doi:10.1007/3-540-36618-0_44
fatcat:glbge2rbsjg5dmyqqv5qmhuboe
A Common Evaluation Setting for Just.Ask, Open Ephyra and Aranea QA systems
[article]
2012
arXiv
pre-print
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Question Answering (QA) is not a new research field in Natural Language Processing (NLP). However in recent years, QA has been a subject of growing study. ...
Passage Retrieval The goal of this module is to retrieve passages that are likely to contain an answer to the user question. ...
Passage Retrieval For factoid and list type questions Ephyra can use Google or Yahoo as sources of information to retrieve relevant passages. ...
arXiv:1205.1779v1
fatcat:gstmnnz7kbfpre3ljikdlwouyq
Evaluating retrieval performance for Japanese question answering
2003
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03
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This paper questions this popular approach by automatically generating a document retrieval test collection from the QAC1 Question Answering test collection and comparing retrieval performances of five ...
The Task 1 Answer File contains, for each question, answer strings with IDs of documents that support the answers (though supporting documents were not evaluated at NTCIR-3 QAC1) [5] . ...
doi:10.1145/860435.860535
dblp:conf/sigir/SakaiK03
fatcat:gn5xpi6kcffzdlj422jkuxkida
SpaceQA
2022
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Our evaluation on a test set produced by ESA is largely consistent with the results originally reported by the evaluated retrievers and confirms the need of fine tuning for reading comprehension. ...
We adopt a stateof-the-art architecture consisting of a dense retriever and a neural reader and opt for an approach based on transfer learning rather than fine-tuning due to the lack of domain-specific ...
ACKNOWLEDGMENTS We thank to Patrick Fleith, Patrick Lux, Massimo Magazzu, and Stefano Scaglioni for their collaboration to develop SpaceQA. ...
doi:10.1145/3477495.3531697
fatcat:nerv7yozorbodhpz7ehg7pn43i
POSTECH Question-Answering Experiments at NTCIR4-QAC
2004
NTCIR Conference on Evaluation of Information Access Technologies
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The main components of our system are question classification, passage retrieval, and named entity extraction. ...
Passage retrieval was performed by a density-based ranking method based on importance of query terms occurred in the passage. ...
First, question analysis analyzes a question to determine its answer type and formulates a query for document retrieval and passage retrieval. ...
dblp:conf/ntcir/NaKL04
fatcat:wn5bs44nkneqfemm3zu377zisu
Question Rewriting for Conversational Question Answering
[article]
2020
arXiv
pre-print
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Moreover, we show that the same QR model improves QA performance on the QuAC dataset with respect to answer span extraction, which is the next step in QA after passage retrieval. ...
We introduce a conversational QA architecture that sets the new state of the art on the TREC CAsT 2019 passage retrieval dataset. ...
ACKNOWLEDGEMENTS We would like to thank our colleagues Srinivas Chappidi, Bjorn Hoffmeister, Stephan Peitz, Russ Webb, Drew Frank, and Chris DuBois for their insightful comments. ...
arXiv:2004.14652v3
fatcat:u6qvg4vdxvcpdgbgvlq3ikpj2a
Question Rewriting for Conversational Question Answering
2021
Proceedings of the 14th ACM International Conference on Web Search and Data Mining
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Moreover, we show that the same QR model improves QA performance on the QuAC dataset with respect to answer span extraction, which is the next step in QA after passage retrieval. ...
We introduce a conversational QA architecture that sets the new state of the art on the TREC CAsT 2019 passage retrieval dataset. ...
ACKNOWLEDGEMENTS We would like to thank our colleagues Srinivas Chappidi, Bjorn Hoffmeister, Stephan Peitz, Russ Webb, Drew Frank, and Chris DuBois for their insightful comments. ...
doi:10.1145/3437963.3441748
fatcat:dm4nvglfjfd2vmgx7qeoc5ak6e
A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question Answering
[article]
2022
arXiv
pre-print
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In this paper, we show that question rewriting (QR) of the conversational context allows to shed more light on this phenomenon and also use it to evaluate robustness of different answer selection approaches ...
Our experiments uncover sensitivity to question formulation of the popular state-of-the-art models for reading comprehension and passage ranking. ...
Acknowledgements We would like to thank our colleagues Srinivas Chappidi, Bjorn Hoffmeister, Stephan Peitz, Russ Webb, Drew Frank, and Chris DuBois for their insightful comments. ...
arXiv:2010.06835v2
fatcat:42e77ad2a5ckhozqy77mcyhddi
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