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Found 25 papers, 3 papers with code
FAST: A carefully sampled and cognitively motivated dataset for distributional semantic evaluation
What is the first word that comes to your mind when you hear giraffe, or damsel, or freedom?
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer
When few-shot is beneficial, we show that there are random sets of samples that perform better across languages and that the performance on English and on the machine-translation of the samples can both be used to choose the shots to manually translate for an increased few-shot gain.
Predicting Moderation of Deliberative Arguments: Is Argument Quality the Key?
Human moderation is commonly employed in deliberative contexts (argumentation and discussion targeting a shared decision on an issue relevant to a group, e. g., citizens arguing on how to employ a shared budget).
Scaling up Discourse Quality Annotation for Political Science
The empirical quantification of the quality of a contribution to a political discussion is at the heart of deliberative theory, the subdiscipline of political science which investigates decision-making in deliberative democracy.
Reports of personal experiences and stories in argumentation: datasets and analysis
Reports of personal experiences or stories can play a crucial role in argumentation, as they represent an immediate and (often) relatable way to back up one’s position with respect to a given topic.
Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification
The analysis of public debates crucially requires the classification of political demands according to hierarchical claim ontologies (e. g. for immigration, a supercategory “Controlling Migration” might have subcategories “Asylum limit” or “Border installations”).
Improving Neural Political Statement Classification with Class Hierarchical Information
Many tasks in text-based computational social science (CSS) involve the classification of political statements into categories based on a domain-specific codebook.
Regression Analysis of Lexical and Morpho-Syntactic Properties of Kiezdeutsch
Kiezdeutsch is a variety of German predominantly spoken by teenagers from multi-ethnic urban neighborhoods in casual conversations with their peers.
Swimming with the Tide? Positional Claim Detection across Political Text Types
Manifestos are official documents of political parties, providing a comprehensive topical overview of the electoral programs.
Investigating Independence vs. Control: Agenda-Setting in Russian News Coverage on Social Media
Agenda-setting is a widely explored phenomenon in political science: powerful stakeholders (governments or their financial supporters) have control over the media and set their agenda: political and economical powers determine which news should be salient.
Argument Quality Assessment in the Age of Instruction-Following Large Language Models
The computational treatment of arguments on controversial issues has been subject to extensive NLP research, due to its envisioned impact on opinion formation, decision making, writing education, and the like.
Political claim identification and categorization in a multilingual setting: First experiments
The identification and classification of political claims is an important step in the analysis of political newspaper reports; however, resources for this task are few and far between.
Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports
Besides the released resources and the case-study, our contribution is also methodological: we talk the reader through the steps from a newspaper article to a discourse network, demonstrating that there is not just one discourse network for the German migration debate, but multiple ones, depending on the topic of interest (political actors, policy fields, time spans).
Towards Argument Mining for Social Good: A Survey
This survey builds an interdisciplinary picture of Argument Mining (AM), with a strong focus on its potential to address issues related to Social and Political Science.
DEbateNet-mig15:Tracing the 2015 Immigration Debate in Germany Over Time
DEbateNet-migr15 is a manually annotated dataset for German which covers the public debate on immigration in 2015.
An Environment for Relational Annotation of Political Debates
This paper describes the MARDY corpus annotation environment developed for a collaboration between political science and computational linguistics.
Large-scale evaluation of dependency-based DSMs: Are they worth the effort?
This paper presents a large-scale evaluation study of dependency-based distributional semantic models.
A Large Scale Evaluation of Distributional Semantic Models: Parameters, Interactions and Model Selection
This paper presents the results of a large-scale evaluation study of window-based Distributional Semantic Models on a wide variety of tasks.
LexIt: A Computational Resource on Italian Argument Structure
The aim of this paper is to introduce LexIt, a computational framework for the automatic acquisition and exploration of distributional information about Italian verbs, nouns and adjectives, freely available through a web interface at the address http://sesia. humnet. unipi. it/lexit.
