Search Results for author: Doug Beeferman

Found 7 papers, 4 papers with code

FeedbackMap: a tool for making sense of open-ended survey responses

1 code implementation26 Jun 2023 Doug Beeferman, Nabeel Gillani

Analyzing open-ended survey responses is a crucial yet challenging task for social scientists, non-profit organizations, and educational institutions, as they often face the trade-off between obtaining rich data and the burden of reading and coding textual responses.

Redrawing attendance boundaries to promote racial and ethnic diversity in elementary schools

no code implementations14 Mar 2023 Nabeel Gillani, Doug Beeferman, Christine Vega-Pourheydarian, Cassandra Overney, Pascal Van Hentenryck, Deb Roy

Most US school districts draw "attendance boundaries" to define catchment areas that assign students to schools near their homes, often recapitulating neighborhood demographic segregation in schools.

Combinatorial Optimization

CommunityLM: Probing Partisan Worldviews from Language Models

1 code implementation COLING 2022 Hang Jiang, Doug Beeferman, Brandon Roy, Deb Roy

As political attitudes have diverged ideologically in the United States, political speech has diverged lingusitically.

Topic Detection and Tracking with Time-Aware Document Embeddings

no code implementations12 Dec 2021 Hang Jiang, Doug Beeferman, Weiquan Mao, Deb Roy

TDT systems aim to cluster a corpus of news articles by event, and in that context, stories that describe the same event are likely to have been written at around the same time.

Event Detection

Topic-time Heatmaps for Human-in-the-loop Topic Detection and Tracking

no code implementations12 Oct 2021 Doug Beeferman, Hang Jiang

The essential task of Topic Detection and Tracking (TDT) is to organize a collection of news media into clusters of stories that pertain to the same real-world event.

RadioTalk: a large-scale corpus of talk radio transcripts

1 code implementation16 Jul 2019 Doug Beeferman, William Brannon, Deb Roy

We introduce RadioTalk, a corpus of speech recognition transcripts sampled from talk radio broadcasts in the United States between October of 2018 and March of 2019.

Descriptive speech-recognition +1

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