Výsledky vyhledávání - "Jitendra Ajmera"

Finding Influential Authors in Brand-Page Communities

Autor: Hemant Purohit, Jitendra Ajmera, Sachindra Joshi, Ashish Verma, Amit Sheth

Publikováno v: Proceedings of the International AAAI Conference on Web and Social Media. 6:551-554

Enterprises are increasingly using social media forums to engage with their customer online- a phenomenon known as Social Customer Relation Management (Social CRM). In this context, it is important for an enterprise to identify “influential authors

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f5401dd0f38a0c51ca85aee945e454c8
https://doi.org/10.1609/icwsm.v6i1.14330

Zobrazit plný text záznamu

Multi-modal Extreme Classification

Autor: Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-Hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma

Publikováno v: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a1ebc56885912ad333548af906d81778
https://doi.org/10.1109/cvpr52688.2022.01207

Zobrazit plný text záznamu

Content Analytics System for Social Customer Relationship Management

Autor: Meena Nagarajan, Danish Contractor, Stephen Dill, Jitendra Ajmera, Hyung-il Ahn, Ashish Verma, Matthew Denesuk

Publikováno v: Proceedings of the International AAAI Conference on Web and Social Media. 7:744-745

We propose to demonstrate a system that helps enterprises manage their social Customer Relationship Management (CRM) presence. Our system performs deep analytics over consumer posts and authors to help companies monitor their CRM presence, and to ide

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7cef4b5a691f6cd50cca73e24dec469d
https://doi.org/10.1609/icwsm.v7i1.14369

Zobrazit plný text záznamu

Decision Tree-Based Acoustic Models for Speech Recognition with Improved Smoothness

Autor: Masami Akamine, Jitendra Ajmera

Publikováno v: IEICE Transactions on Information and Systems. :2250-2258

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::09f6f006e6e227be76d18f75713d2769
https://doi.org/10.1587/transinf.e94.d.2250

Zobrazit plný text záznamu

A statistical approach for Non-Sentential Utterance Resolution for Interactive QA System

Autor: Dinesh Raghu, Sathish Reddy Indurthi, Sachindra Joshi, Jitendra Ajmera

Publikováno v: SIGDIAL Conference

Non-Sentential Utterances (NSUs) are short utterances that do not have the form of a full sentence but nevertheless convey a complete sentential meaning in the context of a conversation. NSUs are frequently used to ask follow up questions during inte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0fbb242657d18c9d9b33a65da9484450
https://doi.org/10.18653/v1/w15-4645

Zobrazit plný text záznamu

Speech/music segmentation using entropy and dynamism features in a HMM classification framework

Autor: Iain McCowan, Jitendra Ajmera, Hervé Bourlard

Publikováno v: Speech Communication. 40:351-363

In this paper, we present a new approach towards high performance speech/music discrimination on realistic tasks related to the automatic transcription of broadcast news. In the approach presented here, an artificial neural network (ANN) trained on c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::83554b9c62a8ba410e73c30f6ef7b66b
https://doi.org/10.1016/s0167-6393(02)00087-0

Zobrazit plný text záznamu

Domain Cartridge

Autor: Jitendra Ajmera, Subhabrata Mukherjee, Sachindra Joshi

Publikováno v: CIKM

In this work we propose an unsupervised framework to construct a shallow domain ontology from corpus. It is essential for Information Retrieval systems, Question-Answering systems, Dialogue etc. to identify important concepts in the domain and the re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::345b1c9b6021433ddd246b817711012d
https://doi.org/10.1145/2661829.2662087

Zobrazit plný text záznamu

Unsupervised approach for shallow domain ontology construction from corpus

Autor: Subhabrata Mukherjee, Sachindra Joshi, Jitendra Ajmera

Publikováno v: WWW (Companion Volume)

In this work we propose an unsupervised approach to construct a domain-specific ontology from corpus. It is essential for Information Retrieval systems to identify important domain concepts and relationships between them. We identify important domain

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::73443286def90ced70b1dfdbc0180038
https://doi.org/10.1145/2567948.2577350

Zobrazit plný text záznamu

Automatic generation of question answer pairs from noisy case logs

Autor: Jitendra Ajmera, Sachindra Joshi, Amol Mittal, Ashish Verma

Publikováno v: ICDE

In a customer support scenario, a lot of valuable information is recorded in the form of ‘case logs’. Case logs are primarily written for future references or manual inspections and therefore are written in a hasty manner and are very noisy.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b2275e27ef6216f17e330d778893e379
https://doi.org/10.1109/icde.2014.6816671

Zobrazit plný text záznamu

A CRM system for social media

Autor: Matthew Denesuk, Ashish Verma, Jitendra Ajmera, Meena Nagarajan, Hyung-il Ahn, Danish Contractor, Stephen Dill

Publikováno v: WWW

The social Customer Relationship Management (CRM) landscape is attracting significant attention from customers and enterprises alike as a sustainable channel for tracking, managing and improving customer relations. Enterprises are taking a hard look

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3dca567b5ad0d1fdc29b3ee6ce8d8540
https://doi.org/10.1145/2488388.2488394

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání