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Found 11 papers, 8 papers with code
Reducing Target Group Bias in Hate Speech Detectors
The ubiquity of offensive and hateful content on online fora necessitates the need for automatic solutions that detect such content competently across target groups.
Generating Related Work
Communicating new research ideas involves highlighting similarities and differences with past work.
Nutribullets Hybrid: Multi-document Health Summarization
We present a method for generating comparative summaries that highlights similarities and contradictions in input documents.
Nutri-bullets: Summarizing Health Studies by Composing Segments
We introduce \emph{Nutri-bullets}, a multi-document summarization task for health and nutrition.
Capturing Greater Context for Question Generation
Automatic question generation can benefit many applications ranging from dialogue systems to reading comprehension.
Automatic Fact-guided Sentence Modification
This is a challenging constrained generation task, as the output must be consistent with the new information and fit into the rest of the existing document.
The Limitations of Stylometry for Detecting Machine-Generated Fake News
Recent developments in neural language models (LMs) have raised concerns about their potential misuse for automatically spreading misinformation.
Towards Debiasing Fact Verification Models
Fact verification requires validating a claim in the context of evidence.
Robust Zero-Shot Cross-Domain Slot Filling with Example Values
Task-oriented dialog systems increasingly rely on deep learning-based slot filling models, usually needing extensive labeled training data for target domains.
Multi-Source Domain Adaptation with Mixture of Experts
We propose a mixture-of-experts approach for unsupervised domain adaptation from multiple sources.
Adversarial Domain Adaptation for Duplicate Question Detection
We address the problem of detecting duplicate questions in forums, which is an important step towards automating the process of answering new questions.
