Isabelle Augenstein
8 papers in the PaperMetrix corpus
Papers by this author
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SubjQA: A Dataset for Subjectivity and Review Comprehension
2020
Subjectivity is the expression of internal opinions or beliefs which cannot be objectively observed or verified, and has been shown to be important for sentiment analysis and wordsense disambiguation. Furthermore, subjectivity is an important aspect …
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University of Copenhagen Participation in TREC Health Misinformation Track 2020
2021 · VBN Forskningsportal (Aalborg Universitet)
In this paper, we describe our participation in the TREC Health Misinformation Track 2020. We submitted $11$ runs to the Total Recall Task and 13 runs to the Ad Hoc task. Our approach consists of …
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Determining the Credibility of Science Communication
2021
Most work on scholarly document processing assumes that the information processed is trustworthy and factually correct. However, this is not always the case. There are two core challenges, which should be addressed: 1) ensuring that …
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Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
2021 · arXiv (Cornell University)
The goal of stance detection is to determine the viewpoint expressed in a piece of text towards a target. These viewpoints or contexts are often expressed in many different languages depending on the user and …
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Diagnostics-Guided Explanation Generation
2021 · arXiv (Cornell University)
Explanations shed light on a machine learning model's rationales and can aid in identifying deficiencies in its reasoning process. Explanation generation models are typically trained in a supervised way given human explanations. When such annotations …
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Explaining Interactions Between Text Spans
2023 · arXiv (Cornell University)
Reasoning over spans of tokens from different parts of the input is essential for natural language understanding (NLU) tasks such as fact-checking (FC), machine reading comprehension (MRC) or natural language inference (NLI). However, existing highlight-based …
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Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models?
2022 · Research at the University of Copenhagen (University of Copenhagen)
There have been many efforts to try to understand what grammatical knowledge (e.g., ability to understand the part of speech of a token) is encoded in large pre-trained language models (LM). This is done through …
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Generalisation in named entity recognition: A quantitative analysis
2017 · Computer Speech & Language
Named Entity Recognition (NER) is a key NLP task, which is all the more challenging on Web and user-generated content with their diverse and continuously changing language. This paper aims to quantify how this diversity …