Search Results for author:
Found 8 papers, 5 papers with code
Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest
We present baseline systems trained on this data for the identification of tweets related to civil unrest.
Study of Manifestation of Civil Unrest on Twitter
Twitter is commonly used for civil unrest detection and forecasting tasks, but there is a lack of work in evaluating how civil unrest manifests on Twitter across countries and events.
Changes in Tweet Geolocation over Time: A Study with Carmen 2.0
Despite the importance of these tools for data curation, the impact of tweet language, country of origin, and creation date on tool performance remains largely unknown.
Can one size fit all?: Measuring Failure in Multi-Document Summarization Domain Transfer
Abstractive multi-document summarization (MDS) is the task of automatically summarizing information in multiple documents, from news articles to conversations with multiple speakers.
Using Natural Language Inference to Improve Persona Extraction from Dialogue in a New Domain
To address both these issues, we introduce a natural language inference method for post-hoc adapting a trained persona extraction model to a new setting.
Anti-LM Decoding for Zero-shot In-context Machine Translation
Zero-shot In-context learning is the phenomenon where models can perform the task simply given the instructions.
Decoding Methods for Neural Narrative Generation
Narrative generation is an open-ended NLP task in which a model generates a story given a prompt.
Analyzing HPC Support Tickets: Experience and Recommendations
High performance computing (HPC) user support teams are the first line of defense against large-scale problems, as they are often the first to learn of problems reported by users.
