Search Results for author: Pranav Maneriker

Found 9 papers, 2 papers with code

THOMAS: The Hegemonic OSU Morphological Analyzer using Seq2seq

no code implementations WS 2019 Byung-Doh Oh, Pranav Maneriker, Nanjiang Jiang

This paper describes the OSU submission to the SIGMORPHON 2019 shared task, Crosslinguality and Context in Morphology.

Morphological Analysis Sentence +2

Network Representation Learning: Consolidation and Renewed Bearing

1 code implementation2 May 2019 Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy

An important area of research that has emerged over the last decade is the use of graphs as a vehicle for non-linear dimensionality reduction in a manner akin to previous efforts based on manifold learning with uses for downstream database processing, machine learning and visualization.

Dimensionality Reduction General Classification +3

Towards Open Intent Discovery for Conversational Text

no code implementations17 Apr 2019 Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy

Existing research for intent discovery model it as a classification task with a predefined set of known categories.

Intent Discovery Open Intent Discovery

Forecasting Granular Audience Size for Online Advertising

no code implementations8 Jan 2019 Ritwik Sinha, Dhruv Singal, Pranav Maneriker, Kushal Chawla, Yash Shrivastava, Deepak Pai, Atanu R. Sinha

Orchestration of campaigns for online display advertising requires marketers to forecast audience size at the granularity of specific attributes of web traffic, characterized by the categorical nature of all attributes (e. g. {US, Chrome, Mobile}).

Attribute Time Series +1

Corpus-based Content Construction

no code implementations COLING 2018 Balaji Vasan Srinivasan, Pranav Maneriker, Kundan Krishna, Natwar Modani

Enterprise content writers are engaged in writing textual content for various purposes.

Generating Appealing Brand Names

no code implementations28 Jun 2017 Gaurush Hiranandani, Pranav Maneriker, Harsh Jhamtani

Providing appealing brand names to newly launched products, newly formed companies or for renaming existing companies is highly important as it can play a crucial role in deciding its success or failure.

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