Relevant bibliographies by topics / Question Answering, Natural Language Processing, Information Retrieval

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Question Answering, Natural Language Processing, Information Retrieval'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Question Answering, Natural Language Processing, Information Retrieval.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Question Answering, Natural Language Processing, Information Retrieval"

1

Veisi, Hadi, and Hamed Fakour Shandi. "A Persian Medical Question Answering System." International Journal on Artificial Intelligence Tools 29, no. 06 (2020): 2050019. http://dx.doi.org/10.1142/s0218213020500190.

Full text
Abstract:
A question answering system is a type of information retrieval that takes a question from a user in natural language as the input and returns the best answer to it as the output. In this paper, a medical question answering system in the Persian language is designed and implemented. During this research, a dataset of diseases and drugs is collected and structured. The proposed system includes three main modules: question processing, document retrieval, and answer extraction. For the question processing module, a sequential architecture is designed which retrieves the main concept of a question
APA, Harvard, Vancouver, ISO, and other styles
2

Chandurkar, Avani, and Ajay Bansal. "A Composite Natural Language Processing and Information Retrieval Approach to Question Answering Using a Structured Knowledge Base." International Journal of Semantic Computing 11, no. 03 (2017): 345–71. http://dx.doi.org/10.1142/s1793351x17400141.

Full text
Abstract:
With the inception of the World Wide Web, the amount of data present on the Internet is tremendous. This makes the task of navigating through this enormous amount of data quite difficult for the user. As users struggle to navigate through this wealth of information, the need for the development of an automated system that can extract the required information becomes urgent. This paper presents a Question Answering system to ease the process of information retrieval. Question Answering systems have been around for quite some time and are a sub-field of information retrieval and natural language
APA, Harvard, Vancouver, ISO, and other styles
3

Singh, Vaishali, and Sanjay K. Dwivedi. "Question Answering." International Journal of Information Retrieval Research 4, no. 3 (2014): 14–33. http://dx.doi.org/10.4018/ijirr.2014070102.

Full text
Abstract:
With the huge amount of data available on web, it has turned out to be a fertile area for Question Answering (QA) research. Question answering, an instance of information retrieval research is at the cross road from several research communities such as, machine learning, statistical learning, natural language processing and pattern learning. In this paper, the authors survey the research in area of question answering with respect to different prospects of NLP, machine learning, statistical learning and pattern learning. Then they situate some of the prominent QA systems concerning these prospe
APA, Harvard, Vancouver, ISO, and other styles
4

Alsubhi, Kholoud, Amani Jamal, and Areej Alhothali. "Deep learning-based approach for Arabic open domain question answering." PeerJ Computer Science 8 (May 4, 2022): e952. http://dx.doi.org/10.7717/peerj-cs.952.

Full text
Abstract:
Open-domain question answering (OpenQA) is one of the most challenging yet widely investigated problems in natural language processing. It aims at building a system that can answer any given question from large-scale unstructured text or structured knowledge-base. To solve this problem, researchers traditionally use information retrieval methods to retrieve the most relevant documents and then use answer extractions techniques to extract the answer or passage from the candidate documents. In recent years, deep learning techniques have shown great success in OpenQA by using dense representation
APA, Harvard, Vancouver, ISO, and other styles
5

MONZ, CHRISTOF. "Machine learning for query formulation in question answering." Natural Language Engineering 17, no. 4 (2011): 425–54. http://dx.doi.org/10.1017/s1351324910000276.

Full text
Abstract:
AbstractResearch on question answering dates back to the 1960s but has more recently been revisited as part of TREC's evaluation campaigns, where question answering is addressed as a subarea of information retrieval that focuses on specific answers to a user's information need. Whereas document retrieval systems aim to return the documents that are most relevant to a user's query, question answering systems aim to return actual answers to a users question. Despite this difference, question answering systems rely on information retrieval components to identify documents that contain an answer t
APA, Harvard, Vancouver, ISO, and other styles
6

Christanno, Ivan, Priscilla Priscilla, Jody Johansyah Maulana, Derwin Suhartono, and Rini Wongso. "Eve: An Automated Question Answering System for Events Information." ComTech: Computer, Mathematics and Engineering Applications 8, no. 1 (2017): 15. http://dx.doi.org/10.21512/comtech.v8i1.3781.

Full text
Abstract:
The objective of this research was to create a closed-domain of automated question answering system specifically for events called Eve. Automated Question Answering System (QAS) is a system that accepts question input in the form of natural language. The question will be processed through modules to finally return the most appropriate answer to the corresponding question instead of returning a full document as an output. Thescope of the events was those which were organized by Students Association of Computer Science (HIMTI) in Bina Nusantara University. It consisted of 3 main modules namely q
APA, Harvard, Vancouver, ISO, and other styles
7

Xiao, Yuliang, Lijuan Zhang, Jie Huang, Lei Zhang, and Jian Wan. "An Information Retrieval-Based Joint System for Complex Chinese Knowledge Graph Question Answering." Electronics 11, no. 19 (2022): 3214. http://dx.doi.org/10.3390/electronics11193214.

Full text
Abstract:
Knowledge graph-based question answering is an intelligent approach to deducing the answer to a natural language question from structured knowledge graph information. As one of the mainstream knowledge graph-based question answering approaches, information retrieval-based methods infer the correct answer by constructing and ranking candidate paths, which achieve excellent performance in simple questions but struggle to handle complex questions due to rich entity information and diverse relations. In this paper, we construct a joint system with three subsystems based on the information retrieva
APA, Harvard, Vancouver, ISO, and other styles
8

Ali, Irphan, Divakar Yadav, and Ashok Kumar Sharma. "SWFQA Semantic Web Based Framework for Question Answering." International Journal of Information Retrieval Research 9, no. 1 (2019): 88–106. http://dx.doi.org/10.4018/ijirr.2019010106.

Full text
Abstract:
A question answering system aims to provide the correct and quick answer to users' query from a knowledge base. Due to the growth of digital information on the web, information retrieval system is the need of the day. Most recent question answering systems consult knowledge bases to answer a question, after parsing and transforming natural language queries to knowledge base-executable forms. In this article, the authors propose a semantic web-based approach for question answering system that uses natural language processing for analysis and understanding the user query. It employs a “Total Ans
APA, Harvard, Vancouver, ISO, and other styles
9

Arbaaeen, Ammar, and Asadullah Shah. "Ontology-Based Approach to Semantically Enhanced Question Answering for Closed Domain: A Review." Information 12, no. 5 (2021): 200. http://dx.doi.org/10.3390/info12050200.

Full text
Abstract:
For many users of natural language processing (NLP), it can be challenging to obtain concise, accurate and precise answers to a question. Systems such as question answering (QA) enable users to ask questions and receive feedback in the form of quick answers to questions posed in natural language, rather than in the form of lists of documents delivered by search engines. This task is challenging and involves complex semantic annotation and knowledge representation. This study reviews the literature detailing ontology-based methods that semantically enhance QA for a closed domain, by presenting
APA, Harvard, Vancouver, ISO, and other styles
10

Yogish, Deepa, T. N. Manjunath, and Ravindra S. Hegadi. "Analysis of Vector Space Method in Information Retrieval for Smart Answering System." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 4468–72. http://dx.doi.org/10.1166/jctn.2020.9099.

Full text
Abstract:
In the world of internet, searching play a vital role to retrieve the relevant answers for the user specific queries. The most promising application of natural language processing and information retrieval system is Question answering system which provides directly the accurate answer instead of set of documents. The main objective of information retrieval is to retrieve relevant document from a huge volume of data sets underlying in the internet using appropriatemodel. There are many models proposed for retrieval process such as Boolean, Vector space and Probabilistic method. Vector space mod
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Question Answering, Natural Language Processing, Information Retrieval"

1

Bonadiman, Daniele. "Leveraging Structure for Effective Question Answering." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/275116.

Full text
Abstract:
In this thesis, we focus on Answer Sentence Selection (A2S) that is the core task of retrieval based question answering. A2S consists of selecting the sentences that answer user queries from a collection of documents retrieved by a search engine. Over more than two decades, several solutions based on machine learning have been proposed to solve this task, starting from simple approaches based on manual feature engineering to more complex Structural Tree Kernels models, and recently Neural Network architectures. In particular, the latter requires little human effort as they can automatically e
APA, Harvard, Vancouver, ISO, and other styles
2

Bonadiman, Daniele. "Leveraging Structure for Effective Question Answering." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/275116.

Full text
Abstract:
In this thesis, we focus on Answer Sentence Selection (A2S) that is the core task of retrieval based question answering. A2S consists of selecting the sentences that answer user queries from a collection of documents retrieved by a search engine. Over more than two decades, several solutions based on machine learning have been proposed to solve this task, starting from simple approaches based on manual feature engineering to more complex Structural Tree Kernels models, and recently Neural Network architectures. In particular, the latter requires little human effort as they can automatically ex
APA, Harvard, Vancouver, ISO, and other styles
3

Di, Biasi Vanessa. "Question Answering tecniche algoritmiche e applicazioni." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

Find full text
Abstract:
La crescente digitalizzazione dei dati e la presenza di dispositivi pervasivi sta rivoluzionando il modo in cui l'utente comunica e svolge le attività. La seguente tesi introduce il Question Answering (QA), una tecnologia emergente che risponde alle nuove necessità degli utenti e che ha pervaso motori di ricerca e assistenti virtuali. Sta assumendo importanza nell'ultimo decennio perfezionando la capacità di comprendere il linguaggio umano, da cui si evince la forte correlazione col Natural Language Processing. Infatti, i sistemi di QA sono capaci di risponde a una qualsiasi domanda che l'uten
APA, Harvard, Vancouver, ISO, and other styles
4

Imam, Md Kaisar. "Improvements to the complex question answering models." Thesis, Lethbridge, Alta. : University of Lethbridge, c2011, 2011. http://hdl.handle.net/10133/3214.

Full text
Abstract:
In recent years the amount of information on the web has increased dramatically. As a result, it has become a challenge for the researchers to find effective ways that can help us query and extract meaning from these large repositories. Standard document search engines try to address the problem by presenting the users a ranked list of relevant documents. In most cases, this is not enough as the end-user has to go through the entire document to find out the answer he is looking for. Question answering, which is the retrieving of answers to natural language questions from a document collection,
APA, Harvard, Vancouver, ISO, and other styles
5

Almansa, Luciana Farina. "Uma arquitetura de question-answering instanciada no domínio de doenças crônicas." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/95/95131/tde-10102016-121606/.

Full text
Abstract:
Nos ambientes médico e de saúde, especificamente no tratamento clínico do paciente, o papel da informação descrita nos prontuários médicos é registrar o estado de saúde do paciente e auxiliar os profissionais diretamente ligados ao tratamento. A investigação dessas informações de estado clínico em pesquisas científicas na área de biomedicina podem suportar o desenvolvimento de padrões de prevenção e tratamento de enfermidades. Porém, ler artigos científicos é uma tarefa que exige tempo e disposição, uma vez que realizar buscas por informações específicas não é uma tarefa simples e a área médic
APA, Harvard, Vancouver, ISO, and other styles
6

Sadid-Al-Hasan, Sheikh, and University of Lethbridge Faculty of Arts and Science. "Answering complex questions : supervised approaches." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Science, c2009, 2009. http://hdl.handle.net/10133/2478.

Full text
Abstract:
The term “Google” has become a verb for most of us. Search engines, however, have certain limitations. For example ask it for the impact of the current global financial crisis in different parts of the world, and you can expect to sift through thousands of results for the answer. This motivates the research in complex question answering where the purpose is to create summaries of large volumes of information as answers to complex questions, rather than simply offering a listing of sources. Unlike simple questions, complex questions cannot be answered easily as they often require inferencing an
APA, Harvard, Vancouver, ISO, and other styles
7

Saneifar, Hassan. "Locating Information in Heterogeneous log files." Thesis, Montpellier 2, 2011. http://www.theses.fr/2011MON20092/document.

Full text
Abstract:
Cette thèse s'inscrit dans les domaines des systèmes Question Réponse en domaine restreint, la recherche d'information ainsi que TALN. Les systèmes de Question Réponse (QR) ont pour objectif de retrouver un fragment pertinent d'un document qui pourrait être considéré comme la meilleure réponse concise possible à une question de l'utilisateur. Le but de cette thèse est de proposer une approche de localisation de réponses dans des masses de données complexes et évolutives décrites ci-dessous.. De nos jours, dans de nombreux domaines d'application, les systèmes informatiques sont instrumentés pou
APA, Harvard, Vancouver, ISO, and other styles
8

Slávka, Michal. "Vícejazyčný systém pro odpovídání na otázky nad otevřenou doménou." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445499.

Full text
Abstract:
Táto práca sa zaoberá automatickým viacjazyčným zodpovedaním na otázky v otvorenej doméne. V tejto práci sú navrhnuté prístupy k tejto málo prebádanej doméne. Konkrétne skúma, či: (i) použitie prekladu z angličtiny je dostačujúce, (ii) multilinguálne systémy vedia využiť preklad otázky do iných jazykov (iii) alebo je výhodnejšie nepoužívať žiaden preklad. Porovnávam použitie anglického systému založeného na modeli T5, ktorý využíva strojový preklad s natívne viacjazyčnými systémami založenými na viacjazyčnom modeli MT5. Anglický systém so strojovým prekladom mierne prekonáva svoje jednojazyčné
APA, Harvard, Vancouver, ISO, and other styles
9

Franco, Salvador Marc. "A Cross-domain and Cross-language Knowledge-based Representation of Text and its Meaning." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/84285.

Full text
Abstract:
Natural Language Processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human languages. One of its most challenging aspects involves enabling computers to derive meaning from human natural language. To do so, several meaning or context representations have been proposed with competitive performance. However, these representations still have room for improvement when working in a cross-domain or cross-language scenario. In this thesis we study the use of knowledge graphs as a cross-domain an
APA, Harvard, Vancouver, ISO, and other styles
10

Foucault, Nicolas. "Questions-Réponses en domaine ouvert : sélection pertinente de documents en fonction du contexte de la question." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00944622.

Full text
Abstract:
Les problématiques abordées dans ma thèse sont de définir une adaptation unifiée entre la sélection des documents et les stratégies de recherche de la réponse à partir du type des documents et de celui des questions, intégrer la solution au système de Questions-Réponses (QR) RITEL du LIMSI et évaluer son apport. Nous développons et étudions une méthode basée sur une approche de Recherche d'Information pour la sélection de documents en QR. Celle-ci s'appuie sur un modèle de langue et un modèle de classification binaire de texte en catégorie pertinent ou non pertinent d'un point de vue QR. Cette
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Question Answering, Natural Language Processing, Information Retrieval"

1

Bosch, Antal van den, and Gosse Bouma. Interactive Multi-Modal Question-Answering. Springer, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Harabagiu, Sanda, and Dan Moldovan. Question Answering. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0031.

Full text
Abstract:
Textual Question Answering (QA) identifies the answer to a question in large collections of on-line documents. By providing a small set of exact answers to questions, QA takes a step closer to information retrieval rather than document retrieval. A QA system comprises three modules: a question-processing module, a document-processing module, and an answer extraction and formulation module. Questions may be asked about any topic, in contrast with Information Extraction (IE), which identifies textual information relevant only to a predefined set of events and entities. The natural language proce
APA, Harvard, Vancouver, ISO, and other styles
3

(Editor), Carol Peters, Fredric Gey (Editor), Julio Gonzalo (Editor), et al., eds. Accessing Multilingual Information Repositories: 6th Workshop of the Cross-Language Evaluation Forum, CLEF 2005, Vienna, Austria, 21-23 September, 2005, ... Papers (Lecture Notes in Computer Science). Springer, 2006.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Pazienza, Maria Teresa. Information Extraction in the Web Era: Natural Language Communication for Knowledge Acquisition and Intelligent Information Agents. Springer London, Limited, 2006.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Information Extraction in the Web Era: Natural Language Communication for Knowledge Acquisition and Intelligent Information Agents (Lecture Notes in Computer Science). Springer, 2003.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Question Answering, Natural Language Processing, Information Retrieval"

1

Bao, Junwei, Nan Duan, Ming Zhou, and Tiejun Zhao. "An Information Retrieval-Based Approach to Table-Based Question Answering." In Natural Language Processing and Chinese Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73618-1_50.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Othman, Nouha, and Rim Faiz. "A Multi-lingual Approach to Improve Passage Retrieval for Automatic Question Answering." In Natural Language Processing and Information Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41754-7_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Abouenour, Lahsen. "On the Improvement of Passage Retrieval in Arabic Question/Answering (Q/A) Systems." In Natural Language Processing and Information Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22327-3_50.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Tiedemann, Jörg. "A genetic algorithm for optimising information retrieval with linguistic features in question answering." In Recent Advances in Natural Language Processing IV. John Benjamins Publishing Company, 2007. http://dx.doi.org/10.1075/cilt.292.23tie.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Lopez, Vanessa, and Enrico Motta. "Ontology-Driven Question Answering in AquaLog." In Natural Language Processing and Information Systems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27779-8_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Yousefi, Jamileh, and Leila Kosseim. "Using Semantic Constraints to Improve Question Answering." In Natural Language Processing and Information Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11765448_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Toral, Antonio, Elisa Noguera, Fernando Llopis, and Rafael Muñoz. "Improving Question Answering Using Named Entity Recognition." In Natural Language Processing and Information Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11428817_17.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Fliedner, Gerhard. "A Generalised Similarity Measure for Question Answering." In Natural Language Processing and Information Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11428817_42.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Fliedner, Gerhard. "Deriving FrameNet Representations: Towards Meaning-Oriented Question Answering." In Natural Language Processing and Information Systems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27779-8_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Przybyła, Piotr. "Gathering Knowledge for Question Answering Beyond Named Entities." In Natural Language Processing and Information Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19581-0_39.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Question Answering, Natural Language Processing, Information Retrieval"

1

Ha, Le An, and Victoria Yaneva. "Automatic Question Answering for Medical MCQs: Can It Go Further than Information Retrieval?" In Recent Advances in Natural Language Processing. Incoma Ltd., Shoumen, Bulgaria, 2019. http://dx.doi.org/10.26615/978-954-452-056-4_049.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Cercel, Dumitru-Clementin, Cristian Onose, Stefan Trausan-Matu, and Florin Pop. "oIQa: An Opinion Influence Oriented Question Answering Framework with Applications to Marketing Domain." In RANLP 2017 - Workshop Natural Language Processing and Information Retrieval. Incoma Ltd. Shoumen, Bulgaria, 2017. http://dx.doi.org/10.26615/978-954-452-038-0_002.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Xu, Shiyi, Feng Liu, Zhen Huang, Yuxing Peng, and Dongsheng Li. "A BERT-Based Semantic Matching Ranker for Open-Domain Question Answering." In NLPIR 2020: 4th International Conference on Natural Language Processing and Information Retrieval. ACM, 2020. http://dx.doi.org/10.1145/3443279.3443301.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Krishnan, Aravind, Srinivasa Ramanujan Sriram, Balaji Vishnu Raj Ganesan, and S. Sridhar. "An Extractive Question Answering System for the Tamil Language." In International Research Conference on IOT, Cloud and Data Science. Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-tsrdcl.

Full text
Abstract:
In the field of Natural Language Processing, Question Answering is a cardinal task that has garnered a lot of attention. With the development of multiple language models, question answering systems have been developed and deployed to facilitate enhanced information retrieval. These systems, however, have been implemented to a large extent only in English. Our objective was to create such a question answering system for the Tamil Language. We decided to use XLM-RoBERTa as our language model, which has been trained on a variety of datasets. We have also employed a hand-annotated dataset for the
APA, Harvard, Vancouver, ISO, and other styles
5

Addagudi, Priyanka, and Wendy MacCaull. "An IR-based QA System for Impact of Social Determinants of Health on Covid-19." In 11th International Conference on Embedded Systems and Applications (EMSA 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120615.

Full text
Abstract:
Question Answering (QA), a branch of Natural Language Processing (NLP), automates information retrieval of answers to natural language questions from databases or documents without human intervention. Motivated by the COVID-19 pandemic and the increasing awareness of Social Determinants of Health (SDoH), we built a prototype QA system that combines NLP, semantics, and IR systems with the focus on SDoH and COVID-19. Our goal was to demonstrate how such technologies could be leveraged to allow decision-makers to retrieve answers to queries from very large databases of documents. We used document
APA, Harvard, Vancouver, ISO, and other styles
6

Giabelli, Anna. "A Unified Framework for Intrinsic Evaluation of Word-Embedding Algorithms." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/829.

Full text
Abstract:
Word embeddings are widely used in copious Natural Language Processing tasks, including semantic analysis, information retrieval, dependency parsing, question answering, and machine translation. This extensive use implies that the evaluation of the performance of such representations is crucial for choosing the best model to perform those tasks. Though there are well-established procedures and benchmarks for intrinsic evaluation, as far as we know, a unified method of evaluation that can merge the results of those tasks to provide a comprehensive evaluation is missing. The main goal of this wo
APA, Harvard, Vancouver, ISO, and other styles
7

Kratzwald, Bernhard, and Stefan Feuerriegel. "Adaptive Document Retrieval for Deep Question Answering." In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/d18-1055.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Rohaninezhad, Mehdi, and Nazlia Omar. "Towards a question answering system based on precisiated natural language." In 2011 International Conference on Semantic Technology and Information Retrieval (STAIR). IEEE, 2011. http://dx.doi.org/10.1109/stair.2011.5995771.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Karpukhin, Vladimir, Barlas Oguz, Sewon Min, et al. "Dense Passage Retrieval for Open-Domain Question Answering." In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.emnlp-main.550.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Sun, Haitian, Tania Bedrax-Weiss, and William Cohen. "PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1242.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Question Answering, Natural Language Processing, Information Retrieval' for particular source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography