activity
20202024
most citedXFORMAL: A Benchmark for Multilingual Formality Style Transfer

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024

CEHA: A Dataset of Conflict Events in the Horn of Africa

Rui Bai, Di Lu, Shihao Ran +5

Natural Language Processing (NLP) of news articles can play an important role in understanding the dynamics and causes of violent conflict. Despite the availability of datasets cat…

cs.CL2023

Event Extraction as Question Generation and Answering

Di Lu, Shihao Ran, Joel Tetreault +1

Recent work on Event Extraction has reframed the task as Question Answering (QA), with promising results. The advantage of this approach is that it addresses the error propagation…

cs.CL2023★ 1 cited

A New Task and Dataset on Detecting Attacks on Human Rights Defenders

Shihao Ran, Di Lu, Joel Tetreault +2

The ability to conduct retrospective analyses of attacks on human rights defenders over time and by location is important for humanitarian organizations to better understand histor…

cs.CL2022

BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics

Liang Ma, Shuyang Cao, Robert L. Logan +5

The proliferation of automatic faithfulness metrics for summarization has produced a need for benchmarks to evaluate them. While existing benchmarks measure the correlation with hu…

cs.CL2021★ 1 cited

XFORMAL: A Benchmark for Multilingual Formality Style Transfer

Eleftheria Briakou, Di Lu, Ke Zhang +1

We take the first step towards multilingual style transfer by creating and releasing XFORMAL, a benchmark of multiple formal reformulations of informal text in Brazilian Portuguese…

cs.CL2020

The ApposCorpus: A new multilingual, multi-domain dataset for factual appositive generation

Yova Kementchedjhieva, Di Lu, Joel Tetreault

News articles, image captions, product reviews and many other texts mention people and organizations whose name recognition could vary for different audiences. In such cases, backg…