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20172022
most citedLearning to Reason for Text Generation from Scientific Tables

11 citations · 20 across the 11 of their papers we have counts for

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cs.CL20223 cited

Layer or Representation Space: What makes BERT-based Evaluation Metrics Robust?

Doan Nam Long Vu, Nafise Sadat Moosavi, Steffen Eger

The evaluation of recent embedding-based evaluation metrics for text generation is primarily based on measuring their correlation with human evaluations on standard benchmarks. How…

cs.CL20221 cited

Scoring Coreference Chains with Split-Antecedent Anaphors

Silviu Paun, Juntao Yu, Nafise Sadat Moosavi +1

Anaphoric reference is an aspect of language interpretation covering a variety of types of interpretation beyond the simple case of identity reference to entities introduced via no…

cs.CL20222 cited

Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization

Prasetya Ajie Utama, Joshua Bambrick, Nafise Sadat Moosavi +1

Neural abstractive summarization models are prone to generate summaries which are factually inconsistent with their source documents. Previous work has introduced the task of recog…

cs.CL2022

Adaptable Adapters

Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting +1

State-of-the-art pretrained NLP models contain a hundred million to trillion parameters. Adapters provide a parameter-efficient alternative for the full finetuning in which we can…

cs.CL2021

Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning

Prasetya Ajie Utama, Nafise Sadat Moosavi, Victor Sanh +1

Recent prompt-based approaches allow pretrained language models to achieve strong performances on few-shot finetuning by reformulating downstream tasks as a language modeling probl…

cs.CL202111 cited

Learning to Reason for Text Generation from Scientific Tables

Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth +1

In this paper, we introduce SciGen, a new challenge dataset for the task of reasoning-aware data-to-text generation consisting of tables from scientific articles and their correspo…