Search Results for author: Andrew Halterman

Found 6 papers, 6 papers with code

Creating Custom Event Data Without Dictionaries: A Bag-of-Tricks

3 code implementations3 Apr 2023 Andrew Halterman, Philip A. Schrodt, Andreas Beger, Benjamin E. Bagozzi, Grace I. Scarborough

Event data, or structured records of ``who did what to whom'' that are automatically extracted from text, is an important source of data for scholars of international politics.

Active Learning Question Answering

Synthetically generated text for supervised text analysis

1 code implementation28 Mar 2023 Andrew Halterman

Supervised text models are a valuable tool for political scientists but present several obstacles to their use, including the expense of hand-labeling documents, the difficulty of retrieving rare relevant documents for annotation, and copyright and privacy concerns involved in sharing annotated documents.

Ethics Event Detection +2

Mordecai 3: A Neural Geoparser and Event Geocoder

1 code implementation23 Mar 2023 Andrew Halterman

Mordecai3 is a new end-to-end text geoparser and event geolocation system.

Question Answering Toponym Resolution

Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence

1 code implementation Findings (ACL) 2021 Andrew Halterman, Katherine A. Keith, Sheikh Muhammad Sarwar, Brendan O'Connor

Automated event extraction in social science applications often requires corpus-level evaluations: for example, aggregating text predictions across metadata and unbiased estimates of recall.

Document Ranking Event Extraction +6

Few-Shot Upsampling for Protest Size Detection

1 code implementation Findings (ACL) 2021 Andrew Halterman, Benjamin J. Radford

We propose a new task and dataset for a common problem in social science research: "upsampling" coarse document labels to fine-grained labels or spans.

Language Modelling Question Answering

Geolocating Political Events in Text

1 code implementation WS 2019 Andrew Halterman

This work introduces a general method for automatically finding the locations where political events in text occurred.

Event Extraction Open-Ended Question Answering

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