paper-with-me

홈 › Papers

C-QUERI: Congressional Questions, Exchanges, and Responses in Institutions Dataset

2025-09-25 · Manjari Rudra, Daniel Magleby, Sujoy Sikdar arxiv

Questions in political interviews and hearings serve strategic purposes beyond information gathering including advancing partisan narratives and shaping public perceptions. However, these strategic aspects remain understudied due to the lack of large-scale datasets for studying such discourse. Congressional hearings provide an especially rich and tractable site for studying political questioning: Interactions are structured by formal rules, witnesses are obliged to respond, and members with different political affiliations are guaranteed opportunities to ask questions, enabling comparisons of behaviors across the political spectrum. We develop a pipeline to extract question-answer pairs from unstructured hearing transcripts and construct a novel dataset of committee hearings from the 108th--117th Congress. Our analysis reveals systematic differences in questioning strategies across parties, by showing the party affiliation of questioners can be predicted from their questions alone. Our dataset and methods not only advance the study of congressional politics, but also provide a general framework for analyzing question-answering across interview-like settings.

📄 PDF Abstract BibTeX arXiv:2509.21548

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text

2016-09-21 · WS 2016 11 · John J. Nay

We compare policy differences across institutions by embedding representations of the entire legal corpus of each institution and the vocabulary shared across all corpora into a continuous vector space. We apply our meth…

The Role of Emotions in Informational Support Question-Response Pairs in Online Health Communities: A Multimodal Deep Learning Approach

2024-05-21 · Mohsen Jozani, Jason A. Williams, Ahmed Aleroud, Sarbottam Bhagat

This study explores the relationship between informational support seeking questions, responses, and helpfulness ratings in online health communities. We created a labeled data set of question-response pairs and develope…

Multimodal Deep Learning

Grading Conversational Responses Of Chatbots

2023-02-01 · Grant Rosario, David Noever

Chatbots have long been capable of answering basic questions and even responding to obscure prompts, but recently their improvements have been far more significant. Modern chatbots like Open AIs ChatGPT3 not only have th…

Machine TranslationTranslation

Self Promotion in US Congressional Tweets

2021-06-01 · NAACL 2021 4 · Jun Wang, Kelly Cui, Bei Yu

Prior studies have found that women self-promote less than men due to gender stereotypes. In this study we built a BERT-based NLP model to predict whether a Congressional tweet shows self-promotion or not and then used t…

Mining Data from the Congressional Record

2019-06-03 · Zhengyu Ma, Tianjiao Qi, James Route, Amir Ziai

We propose a data storage and analysis method for using the US Congressional record as a policy analysis tool. We use Amazon Web Services and the Solr search engine to store and process Congressional record data from 178…