activity
20132022
most citedOnline Learning with Pairwise Loss Functions

9 citations · 33 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CL2022★ 4 cited

Cem Mil Podcasts: A Spoken Portuguese Document Corpus For Multi-modal, Multi-lingual and Multi-Dialect Information Access Research

Ekaterina Garmash, Edgar Tanaka, Ann Clifton +5

In this paper we describe the Portuguese-language podcast dataset we have released for academic research purposes. We give an overview of how the data was sampled, descriptive stat…

cs.IR2021★ 6 cited

Podcast Metadata and Content: Episode Relevance andAttractiveness in Ad Hoc Search

Ben Carterette, Rosie Jones, Gareth F. Jones +6

Rapidly growing online podcast archives contain diverse content on a wide range of topics. These archives form an important resource for entertainment and professional use, but the…

cs.IR2021★ 1 cited

Current Challenges and Future Directions in Podcast Information Access

Rosie Jones, Hamed Zamani, Markus Schedl +11

Podcasts are spoken documents across a wide-range of genres and styles, with growing listenership across the world, and a rapidly lowering barrier to entry for both listeners and c…

cs.CL2021

Modeling Language Usage and Listener Engagement in Podcasts

Sravana Reddy, Marina Lazarova, Yongze Yu +1

While there is an abundance of popular writing targeted to podcast creators on how to speak in ways that engage their listeners, there has been little data-driven analysis of podca…

cs.CL2021

Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization

Rezvaneh Rezapour, Sravana Reddy, Ann Clifton +1

This paper contains the description of our submissions to the summarization task of the Podcast Track in TREC (the Text REtrieval Conference) 2020. The goal of this challenge was t…

cs.IR2021★ 9 cited

TREC 2020 Podcasts Track Overview

Rosie Jones, Ben Carterette, Ann Clifton +6

The Podcast Track is new at the Text Retrieval Conference (TREC) in 2020. The podcast track was designed to encourage research into podcasts in the information retrieval and NLP re…

cs.CL2021

Detecting Extraneous Content in Podcasts

Sravana Reddy, Yongze Yu, Aasish Pappu +3

Podcast episodes often contain material extraneous to the main content, such as advertisements, interleaved within the audio and the written descriptions. We present classifiers th…

cs.CL2020★ 2 cited

The Spotify Podcast Dataset

Ann Clifton, Aasish Pappu, Sravana Reddy +4

Podcasts are a relatively new form of audio media. Episodes appear on a regular cadence, and come in many different formats and levels of formality. They can be formal news journal…

cs.IR2020★ 2 cited

Common Conversational Community Prototype: Scholarly Conversational Assistant

Krisztian Balog, Lucie Flekova, Matthias Hagen +6

This paper discusses the potential for creating academic resources (tools, data, and evaluation approaches) to support research in conversational search, by focusing on realistic i…

cs.IR2019

Report on the First HIPstIR Workshop on the Future of Information Retrieval

Laura Dietz, Bhaskar Mitra, Jeremy Pickens +21

The vision of HIPstIR is that early stage information retrieval (IR) researchers get together to develop a future for non-mainstream ideas and research agendas in IR. The first ite…

stat.ML2013★ 9 cited

Online Learning with Pairwise Loss Functions

Yuyang Wang, Roni Khardon, Dmitry Pechyony +1

Efficient online learning with pairwise loss functions is a crucial component in building large-scale learning system that maximizes the area under the Receiver Operator Characteri…