Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Debanjan Mahata"'
Publikováno v:
44th European Conference on Information Retrieval
44th European Conference on Information Retrieval, Apr 2022, Stavanger, Norway. pp.582-588, ⟨10.1007/978-3-030-99739-7_73⟩
Lecture Notes in Computer Science ISBN: 9783030997380
44th European Conference on Information Retrieval, Apr 2022, Stavanger, Norway. pp.582-588, ⟨10.1007/978-3-030-99739-7_73⟩
Lecture Notes in Computer Science ISBN: 9783030997380
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b46cab181fe9478f0ab8969dfcd3c16a
https://hal.science/hal-03675070
https://hal.science/hal-03675070
Autor:
Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi, Uma Sushmitha Gunturi, Riya Jain, Gauri Gupta, Amardeep Kumar, Isabelle G. Lee, Anish Acharya, Rajiv Ratn Shah
Publikováno v:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77a7feea1540f1214704cad6a1071278
https://doi.org/10.18653/v1/2021.emnlp-main.499
https://doi.org/10.18653/v1/2021.emnlp-main.499
Publikováno v:
NAACL-HLT
In this paper, we study the importance of context in predicting the citation worthiness of sentences in scholarly articles. We formulate this problem as a sequence labeling task solved using a hierarchical BiLSTM model. We contribute a new benchmark
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5511b18b9374f9d35efdac661c42dda
Autor:
Shivangi Singhal, Hitkul, Rajiv Ratn Shah, Debanjan Mahata, Simra Shahid, Ponnurangam Kumaraguru
Publikováno v:
Algorithms for Intelligent Systems ISBN: 9789811512155
To improve the performance in e-commerce markets, big giants like Amazon, Myntra and Flipkart are providing consumers with a platform to review their services and also give them an opportunity to provide a useful insight of the service to the future
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::daccd79ece082cd9fa18f39b136b8b94
https://doi.org/10.1007/978-981-15-1216-2_5
https://doi.org/10.1007/978-981-15-1216-2_5
Publikováno v:
Proceedings of The 3rd Workshop on e-Commerce and NLP.
In this paper, we present a semi-supervised bootstrapping approach to detect product or service related complaints in social media. Our approach begins with a small collection of annotated samples which are used to identify a preliminary set of lingu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::620836671556686cc317e1af07a3060e
https://doi.org/10.18653/v1/2020.ecnlp-1.7
https://doi.org/10.18653/v1/2020.ecnlp-1.7
Autor:
Yaman Kumar, Roger Zimmermann, Haimin Zhang, Amanda Stent, Mayank Kulkarni, Rakesh Gosangi, Dhruva Sahrawat, Rajiv Ratn Shah, Debanjan Mahata, Agniv Sharma
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030454418
ECIR (2)
ECIR (2)
In this paper, we formulate keyphrase extraction from scholarly articles as a sequence labeling task solved using a BiLSTM-CRF, where the words in the input text are represented using deep contextualized embeddings. We evaluate the proposed architect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef5aa3f217e95dafc6823ba87e082ee8
https://doi.org/10.1007/978-3-030-45442-5_41
https://doi.org/10.1007/978-3-030-45442-5_41
Autor:
Rakesh Gosangi, Rajiv Ratn Shah, Haimin Zhang, Avinash Swaminathan, Amanda Stent, Debanjan Mahata
Publikováno v:
EMNLP (1)
We introduce a new keyphrase generation approach using Generative Adversarial Networks (GANs). For a given document, the generator produces a sequence of keyphrases, and the discriminator distinguishes between human-curated and machine-generated keyp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c500f461034a0546a580b2a08d5a2d2
https://doi.org/10.18653/v1/2020.emnlp-main.645
https://doi.org/10.18653/v1/2020.emnlp-main.645
Autor:
Rakesh Gosangi, Hemant Yadav, Sarthak Anand, Pradyumna Gupta, Debanjan Mahata, Rajiv Ratn Shah, Haimin Zhang
Publikováno v:
SemEval@COLING
This paper presents our submission to the SemEval 2020 - Task 10 on emphasis selection in written text. We approach this emphasis selection problem as a sequence labeling task where we represent the underlying text with various contextual embedding m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20f9a88acad8d63a45d0ed13f49313d9
https://doi.org/10.18653/v1/2020.semeval-1.219
https://doi.org/10.18653/v1/2020.semeval-1.219
Autor:
Rajiv Ratn Shah, Hitesh Nankani, Hritwik Dutta, Debanjan Mahata, P. V. N. S. Rama Krishna, Harsh Shrivastava
Publikováno v:
Algorithms for Intelligent Systems ISBN: 9789811512155
Sentiment analysis has empowered researchers and analysts to extract opinions of people regarding various products, services, events and other entities. This has been made possible due to an astronomical rise in the amount of text data being made ava
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7a6d5fc9ad1ceb82626ed54a45914a1
https://doi.org/10.1007/978-981-15-1216-2_8
https://doi.org/10.1007/978-981-15-1216-2_8
Publikováno v:
IEEE Intelligent Systems. 33:87-95
Mining social media messages such as tweets, blogs, and Facebook posts for health and drug related information has received significant interest in pharmacovigilance research. Social media sites (e.g., Twitter), have been used for monitoring drug abu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28ac7282d5c3ba5a4732d5907587ff95
https://doi.org/10.1109/mis.2018.043741326
https://doi.org/10.1109/mis.2018.043741326