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Allison Hegel

Microsoft

3 papers hereh-index 212 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3
affiliations
  • Microsoft
Homepage

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedThe Law of Large Documents: Understanding the Structure of Legal Contracts Using Visual Cues

1 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CL2022★ 1 cited

DeeperDive: The Unreasonable Effectiveness of Weak Supervision in Document Understanding A Case Study in Collaboration with UiPath Inc

Emad Elwany, Allison Hegel, Marina Shah +3

Weak supervision has been applied to various Natural Language Understanding tasks in recent years. Due to technical challenges with scaling weak supervision to work on long-form do…

cs.CL2021★ 1 cited

The Law of Large Documents: Understanding the Structure of Legal Contracts Using Visual Cues

Allison Hegel, Marina Shah, Genevieve Peaslee +2

Large, pre-trained transformer models like BERT have achieved state-of-the-art results on document understanding tasks, but most implementations can only consider 512 tokens at a t…

cs.CL2020

Substance over Style: Document-Level Targeted Content Transfer

Allison Hegel, Sudha Rao, Asli Celikyilmaz +1

Existing language models excel at writing from scratch, but many real-world scenarios require rewriting an existing document to fit a set of constraints. Although sentence-level re…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.