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Recognizing Question Entailment for Medical Question Answering
2017
AMIA Annual Symposium Proceedings
Preserved Fulltext
In this paper, we propose a new approach for the detection of similar questions based on Recognizing Question Entailment (RQE). ...
Our final goal is to automatically provide an existing answer if FAQ similar to a consumer health question exists. ...
We presented an automatic method for the construction of training corpora for RQE and a semi-automatic method for the construction of a test corpus for medical questions. ...
pmid:28269825
pmcid:PMC5333286
fatcat:de4e5eavvrffhk3fcwz452zp5e
An FAQ Search Method Using a Document Classifier Trained With Automatically Generated Training Data
自動生成した学習データを用いた文書分類器に基づく FAQ 検索システム
2017
Journal of Natural Language Processing
自動生成した学習データを用いた文書分類器に基づく FAQ 検索システム
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We propose an Frequently Asked Question (FAQ) search method that uses a document classifier for classifying a natural language query to a corresponding FAQ. ...
To tackle this problem, our method generates training data automatically from FAQs and corresponding histories and trains the document classifier with them. ...
FAQ
0
β
Ranking
SVM(Joachims 2002)
(Sculley 2009)
K
300
ExtractFeatureVector
Base features
tfidf FAQ+query
faq-scorer
• Base features
-cos-q, cos-a: cos-q
FAQ
cos-a
FAQ
FAQ ...
doi:10.5715/jnlp.24.117
fatcat:ce6omcm5zzgfbd5nxwtigfonqy
orgFAQ: A New Dataset and Analysis on Organizational FAQs and User Questions
[article]
2020
arXiv
pre-print
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On the other hand, the content of FAQs is affected by user questions by definition. In order to promote research in this field, several FAQ datasets exist. ...
Thus, we release orgFAQ, a new dataset composed of 6988 user questions and 1579 corresponding FAQs that were extracted from organizations' FAQ webpages in the Jobs domain. ...
Table 5 : 5 Mean ROUGE F 1 scores of our FAQ-
Generator vs. a baseline method which randomly se-
lects one of the input user questions. ...
arXiv:2009.01460v1
fatcat:ca6irsstybd3bkk7pntztcczce
A Mobile-Based Question-Answering and Early Warning System for Assisting Diabetes Management
2018
Wireless Communications and Mobile Computing
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Results show that two essential methods in the system outperform baseline methods on both aspects. ...
This study is to develop a mobile-based diabetes question-answering (Q&A) and early warning system named Dia-AID, assisting diabetes patients and populations at high risk. ...
Acknowledgments The work was substantially supported by a grant from the National Natural Science Foundation of China (no. ...
doi:10.1155/2018/9163160
fatcat:e4hruin4jbg3de5usqqvhvi27i
UNDIKSHA VIRTUAL ASSISTANT (SHAVIRA): INTEGRATION FREQUENCY ASKED QUESTION WITH RASA FRAMEWORK
2021
JST (Jurnal Sains dan Teknologi)
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Shavira is a knowledge management system (KMS) as Frequency Asked Question (FAQ) system to facilitate users to get an answer about their questions. ...
We used Rasa Framework as a chatbot engine in Shavira. Rasa Framework is an open-source virtual assistant engine based on artificial intelligence. ...
The method to search for answers by the chatbot utilizing machine learning technology to perform a sophisticated retrieval process, where responses are generated based on analysis from web searches (Cahn ...
doi:10.23887/jst-undiksha.v10i2.39863
fatcat:ee2r3oc535hfxbz7slwyjynyyq
Towards More Robust Natural Language Understanding
[article]
2022
arXiv
pre-print
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2021 pre-print arXiv:2112.02992v1 fatcat:autoepi2kjb2bpbebov2wrxqui
Besides proposing more advanced model architectures, constructing more reliable and trustworthy datasets also plays a huge role in improving NLU systems, without which it would be impossible to train a ...
doesn't know a priori of users' inputs. ...
predict potential question phrases set {Y T } on {A T } 6: Use QPP-enhanced QG to generate diverse questions {Q T } based on {(A T , Y T )} 7: Train a QA model on synthetic target data {(P T , A T , Q ...
arXiv:2112.02992v2
fatcat:5pbszflxkbdibanpcvaqfzv67a
Development of an automatic customer service system on the internet
2007
Electronic Commerce Research and Applications
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from the frequently asked question (FAQ) database. ...
Most existing network-based customer services heavily rely on manpower in replying e-mails or on-line requests from customers, which not only increases the service cost, but also delay the time for responding ...
To cope with these problems, this study proposes a new system, automatic customer service system (ACSS), which can automatically reply the requests from customers by invoking a knowledge base containing ...
doi:10.1016/j.elerap.2006.04.009
fatcat:smf7tc6ytjfg3di6jogppq2zsu
Effective FAQ Retrieval and Question Matching With Unsupervised Knowledge Injection
[article]
2020
arXiv
pre-print
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We evaluate variants of our approach on a publicly-available Chinese FAQ dataset, and further apply and contextualize it to a large-scale question-matching task, which aims to search questions from a QA ...
distilled from a generic (open domain) knowledge base, into a contextual language model for inferring the q-A relevance. ...
Instead of using the unsupervised Okapi BM25 method, we in this paper employ a supervised neural method for this purpose, which encompasses a single layer neural network stacked on top of a pre-trained ...
arXiv:2010.14049v1
fatcat:be3tvdo7inellfevcll3j4odlq
FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance
[article]
2019
arXiv
pre-print
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2019 pre-print arXiv:1905.02851v1 fatcat:v7jiqejwyffirpebn2wf4jcrgq
Frequently Asked Question (FAQ) retrieval is an important task where the objective is to retrieve an appropriate Question-Answer (QA) pair from a database based on a user's query. ...
Since the number of QA pairs in FAQ page is not enough to train a model, we cope with this issue by leveraging FAQ sets that are similar to the one in question. ...
In general, information retrieval evaluation based on the pooling method has inherently a biased problem. ...
arXiv:1905.02851v2
fatcat:gckz62oaijdwngaccoumx4wwqq
Retrieving answers from frequently asked questions pages on the web
2005
Proceedings of the 14th ACM international conference on Information and knowledge management - CIKM '05
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from a web search engine log. ...
The task involves three steps: (1) fetching FAQ pages from the web; (2) automatic extraction of question/answer (Q/A) pairs from the collected pages; and (3) answering users' questions by retrieving appropriate ...
We use fielded search, based on a mixture model to which indexed questions, answers, and full FAQ pages contribute, optionally together with phrasal search and stemming. ...
doi:10.1145/1099554.1099571
dblp:conf/cikm/JijkounR05
fatcat:m7sxwqdvvrgy5mccr56egg4mne
A Machine-Translation Method for Normalization of SMS
[chapter]
2012
Lecture Notes in Computer Science
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Normalization of SMS is a very important task that must be addressed by the computational community because of the tremendous growth of services based on mobile devices, which make use of this kind of ...
There exist many limitations on the automatic treatment of SMS texts derived from the particular writing style used. ...
In this paper we aim, as a study case, to face the problem of searching answers of FAQs (Frequently Asked Questions) when one SMS is used as query for the information retrieval system. ...
doi:10.1007/978-3-642-31149-9_30
fatcat:sm5dy7p3wzgqdozuvvl5oycj7u
Automated Self-learning Chatbot Initially Build as a FAQs Database Information Retrieval System: Multi-level and Intelligent Universal Virtual Front-office Implementing Neural Network
2018
Informatica (Ljubljana, Tiskana izd.)
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The method proposed in this paper is based on dynamical information system capable toimplement a universal multi-level virtual front-office made by FAQs and chatbot self-learning systems.We describe statistics ...
for their specific tasks, limiting the possibility to transform directly their methods in a general knowledge extraction approach. ...
these questions with similar ones but based on different keywords. ...
doi:10.31449/inf.v42i4.2173
fatcat:7fd4lgx4mbfgppke4ftl3nqmwm
Towards a Next-Generation Search Engine
[chapter]
2000
Lecture Notes in Computer Science
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In this paper, we describe the system architecture of a next-generation search engine that we have built with a goal to provide accurate search result on frequently asked concepts. ...
Search based on simple keywords returns many irrelevant documents that can easily swamp the user. ...
In Brilliant™ search engine, this confidence level is built based on statistical training. ...
doi:10.1007/3-540-44533-1_5
fatcat:kalceka55ncitdx7c3e3mpgnwi
Who asked what: integrating crowdsourced FAQs into API documentation
2014
Companion Proceedings of the 36th International Conference on Software Engineering - ICSE Companion 2014
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Developers often rely on Web search to retrieve additional programming help. ...
We propose to connect these two types of documentation by capturing developers' Web browsing behavior in the context of document reading and integrating crowdsourced frequently asked questions (FAQs) into ...
The relevance of the page to her question was inferred automatically based on her interactions (e.g., dwell time and cursor movement) with the page [7] . ...
doi:10.1145/2591062.2591128
dblp:conf/icse/ChenZ14
fatcat:secxv7crpjfqpgoutppikxdub4
MFAQ: a Multilingual FAQ Dataset
[article]
2021
arXiv
pre-print
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Our experiments reveal that a multilingual model based on XLM-RoBERTa achieves the best results, except for English. ...
Lower resources languages seem to learn from one another as a multilingual model achieves a higher MRR than language-specific ones. ...
FAQs are also useful to automatically answer the most frequent questions on different communication channels: email, chatbot, or search bar. ...
arXiv:2109.12870v2
fatcat:okrggnbm4zepvnrw3uqsd2oroi
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