Papers by Zachary Ives

3 papers
What is Your Article Based On? Inferring Fine-grained Provenance (2021.acl-long)

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Challenge: a new study of claim provenance seeks to trace and explain the origins of claims . a critical reader must be able to assess where the information comes from and where it originates from .
Approach: They propose a method to model and reason about the provenance of multiple interacting claims . they propose generating metadata for the source article based on context and search signals .
Outcome: The proposed method improves on baselines by identifying key external information in the source article.
Evidence-based Trustworthiness (P19-1)

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Challenge: Existing methods to estimate the trustworthiness of information sources are local in that they apply to a given claim.
Approach: They propose a framework for estimating the trustworthiness of information sources in an environment where multiple sources provide claims and supporting evidence.
Outcome: The proposed models show that they improve on baselines and show that the proposed models are more accurate than baselines.
“Who said it, and Why?” Provenance for Natural Language Claims (2020.acl-main)

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Challenge: generating and publishing content is so easy, we are bombarded with information and are exposed to all kinds of claims.
Approach: They propose a formal definition of provenance graph for a given natural language claim . they evaluate the approach using two benchmark datasets to capture provenance .
Outcome: The proposed method shows initial success in capturing provenance and its effectiveness on claim verification.

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