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Lisa Bauer

4 papers here

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CL2021

Disentangling Online Chats with DAG-Structured LSTMs

Duccio Pappadopulo, Lisa Bauer, Marco Farina +2

Many modern messaging systems allow fast and synchronous textual communication among many users. The resulting sequence of messages hides a more complicated structure in which inde…

cs.CL2021

Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks

Lisa Bauer, Mohit Bansal

Integrating external knowledge into commonsense reasoning tasks has shown progress in resolving some, but not all, knowledge gaps in these tasks. For knowledge integration to yield…

cs.CL2021

ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning

Swarnadeep Saha, Prateek Yadav, Lisa Bauer +1

Recent commonsense-reasoning tasks are typically discriminative in nature, where a model answers a multiple-choice question for a certain context. Discriminative tasks are limiting…

cs.CL2018

Commonsense for Generative Multi-Hop Question Answering Tasks

Lisa Bauer, Yicheng Wang, Mohit Bansal

Reading comprehension QA tasks have seen a recent surge in popularity, yet most works have focused on fact-finding extractive QA. We instead focus on a more challenging multi-hop g…

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