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Found 17 papers, 6 papers with code
Explainable Assessment of Healthcare Articles with QA
The healthcare domain suffers from the spread of poor quality articles on the Internet.
Prompt-free and Efficient Few-shot Learning with Language Models
Current methods for few-shot fine-tuning of pretrained masked language models (PLMs) require carefully engineered prompts and verbalizers for each new task to convert examples into a cloze-format that the PLM can score.
Automated Fact-Checking in Dialogue: Are Specialized Models Needed?
Prior research has shown that typical fact-checking models for stand-alone claims struggle with claims made in dialogues.
TimelineQA: A Benchmark for Question Answering over Timelines
We describe a set of experiments on TimelineQA with several state-of-the-art QA models.
RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question
We demonstrate that RQUGE has a higher correlation with human judgment without relying on the reference question.
Policy Compliance Detection via Expression Tree Inference
In this work, we learn how to infer expression trees automatically from policy texts.
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
Current methods for few-shot fine-tuning of pretrained masked language models (PLMs) require carefully engineered prompts and verbalizers for each new task to convert examples into a cloze-format that the PLM can score.
Cross-Policy Compliance Detection via Question Answering
Policy compliance detection is the task of ensuring that a scenario conforms to a policy (e. g. a claim is valid according to government rules or a post in an online platform conforms to community guidelines).
Database Reasoning Over Text
Neural models have shown impressive performance gains in answering queries from natural language text.
Generating Fact Checking Briefs
Fact checking at scale is difficult -- while the number of active fact checking websites is growing, it remains too small for the needs of the contemporary media ecosystem.
Neural Databases
We describe NeuralDB, a database system with no pre-defined schema, in which updates and queries are given in natural language.
Preserving Integrity in Online Social Networks
Online social networks provide a platform for sharing information and free expression.
Graph-based Modeling of Online Communities for Fake News Detection
Existing research has modeled the structure, style, content, and patterns in dissemination of online posts, as well as the demographic traits of users who interact with them.
Interpretation of Natural Language Rules in Conversational Machine Reading
This task requires both the interpretation of rules and the application of background knowledge.
Community Question Answering Platforms vs. Twitter for Predicting Characteristics of Urban Neighbourhoods
We use the text from QA platform of Yahoo!
SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods
In this paper, we introduce the task of targeted aspect-based sentiment analysis.
Ranked #5 on
Aspect-Based Sentiment Analysis (ABSA)
on Sentihood
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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