Výsledky vyhledávání - "Sanjay Kamath"

Question-réponse utilisant des données et modèles hybrides

Publikováno v: Document and Text Processing. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPASS024⟩

Question Answering is a discipline which lies in between natural language processing and information retrieval domains. Emergence of deep learning approaches in several fields of research such as computer vision, natural language processing, speech r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::77e906f4068a6702636144243c69b14f
https://tel.archives-ouvertes.fr/tel-02890467

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How to Pre-train Your Model? Comparison of Different Pre-training Models for Biomedical Question Answering

Autor: Yue Ma, Sanjay Kamath, Brigitte Grau

Publikováno v: Machine Learning and Knowledge Discovery in Databases ISBN: 9783030438869
PKDD/ECML Workshops (2)

Using deep learning models on small scale datasets would result in overfitting. To overcome this problem, the process of pre-training a model and fine-tuning it to the small scale dataset has been used extensively in domains such as image processing.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b5a01d91d3c0fb0d19dc3ddd3de94837
https://doi.org/10.1007/978-3-030-43887-6_58

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DeSpin: A prototype system for detecting spin in biomedical publications

Autor: Anna Koroleva, Patrick Bossuyt, Sanjay Kamath, Patrick Paroubek

Publikováno v: BioNLP 2020-19th SIGBioMed Workshop on Biomedical Language Processing, Proceedings of the Workshop, 49-59
STARTPAGE=49;ENDPAGE=59;TITLE=BioNLP 2020-19th SIGBioMed Workshop on Biomedical Language Processing, Proceedings of the Workshop
BioNLP

Improving the quality of medical research reporting is crucial to reduce avoidable waste in research and to improve the quality of health care. Despite various initiatives aiming at improving research reporting – guidelines, checklists, authoring a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5cc9692d1de2194a3b7a6ea8ee68e0b
https://pure.amc.nl/en/publications/despin(f2e04574-dd0f-408b-bbc3-e94bd921f882).html

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Predicting and Integrating Expected Answer Types into a Simple Recurrent Neural Network Model for Answer Sentence Selection

Autor: Sanjay Kamath, Brigitte Grau, Yue Ma

Publikováno v: 20th International Conference on Computational Linguistics and Intelligent Text Processing
20th International Conference on Computational Linguistics and Intelligent Text Processing, Apr 2019, La Rochelle, France

International audience; Since end-to-end deep learning models have started to replace traditional pipeline architectures of question answering systems, features such as expected answer types which are based on the question semantics are seldom used e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5558c79b4a6107906506cdf95bd9a030
https://hal.archives-ouvertes.fr/hal-02104488

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An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans

Autor: Brigitte Grau, Yue Ma, Sanjay Kamath

Publikováno v: Proceedings of the 2018 EMNLP Workshop BioASQ: Large-scale Biomedical Semantic Indexing and Question Answering
BIOASQ-A challenge on large-scale biomedical semantic indexing and question answering
BIOASQ-A challenge on large-scale biomedical semantic indexing and question answering, Nov 2018, Brussels-BE, Unknown Region. pp.7, ⟨10.18653/v1/w18-5309⟩

International audience; BIOASQ Task B Phase B challenge focuses on extracting answers from snippets for a given question. The dataset provided by the organizers contains answers, but not all their variants. Henceforth a manual annotation was performe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dd6de0e30c683b1eaea05479871b832
https://hal.archives-ouvertes.fr/hal-02284466/file/W18-5309

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Verification of the Expected Answer Type for Biomedical Question Answering

Autor: Sanjay Kamath, Brigitte Grau, Yue Ma

Publikováno v: First International Workshop on Hybrid Question Answering with Structured and Unstructured Knowledge (HQA'18)
First International Workshop on Hybrid Question Answering with Structured and Unstructured Knowledge (HQA'18), Apr 2018, Lyon, France. pp.1093-1097, ⟨10.1145/3184558.3191542⟩
WWW (Companion Volume)

International audience; Extractive Question Answering (QA) focuses on extracting precise answers from a given paragraph to questions posed in natural language. Deep learning models are widely used to address this problem and can fetch good results, p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42d31b0409388c8ce5371baeb497de8a
https://hal.archives-ouvertes.fr/hal-01759306

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Discovering Context Information and Parameters from a Natural Language query

Autor: Sanjay, Kamath

Publikováno v: [Research Report] Université de Grenoble et INP Grenoble. 2015

The E-tourism Project deals with variety of use cases of the system for a user who is a tourist and would like to perform various activities like asking for driving directions, booking a hotel room etc. The proposed method focuses on extracting the c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::272cb8211872002e16fe297537300309
https://hal.archives-ouvertes.fr/hal-01171194

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