Papers by Milagro Teruel

3 papers
Increasing Argument Annotation Reproducibility by Using Inter-annotator Agreement to Improve Guidelines (L18-1)

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Challenge: Argument Mining systems require large amounts of data to characterize phenomena and find patterns that can be exploited by an automatic analyzer.
Approach: They propose to exploit inter-annotator agreement measures to improve Argument annotation guidelines.
Outcome: The proposed method improves Argument annotation guidelines by exploiting inter-annotator agreement measures.
On Improving Summarization Factual Consistency from Natural Language Feedback (2023.acl-long)

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Challenge: Recent work shows that language generation models can make errors on fine-grained qualities such as factual consistency.
Approach: They propose to use natural language feedback to improve generation quality and user preference alignment.
Outcome: The proposed model can provide factual consistency in human-edited summaries and further insights into summarization factual consistentness.
Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback (2024.findings-eacl)

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Challenge: In many approaches to Natural Language Processing tasks, language is inherently interactive.
Approach: They propose to use human-AI collaboration to improve human-human interaction by providing feedback that the agent can understand and utilize.
Outcome: The proposed task is an interactive grounded language understanding task in a MineCraft-like world.

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