activity
20182024
most citedOn the Opportunities and Risks of Foundation Models

2.3k citations · 3.1k across the 28 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020

To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging

Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai +4

Leveraging large amounts of unlabeled data using Transformer-like architectures, like BERT, has gained popularity in recent times owing to their effectiveness in learning general r…

cs.CL2020★ 4 cited

Incorporating Terminology Constraints in Automatic Post-Editing

David Wan, Chris Kedzie, Faisal Ladhak +2

Users of machine translation (MT) may want to ensure the use of specific lexical terminologies. While there exist techniques for incorporating terminology constraints during infere…

cs.CL2020★ 2 cited

WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization

Faisal Ladhak, Esin Durmus, Claire Cardie +1

We introduce WikiLingua, a large-scale, multilingual dataset for the evaluation of crosslingual abstractive summarization systems. We extract article and summary pairs in 18 langua…

cs.CL2020

Exploring Content Selection in Summarization of Novel Chapters

Faisal Ladhak, Bryan Li, Yaser Al-Onaizan +1

We present a new summarization task, generating summaries of novel chapters using summary/chapter pairs from online study guides. This is a harder task than the news summarization…

cs.CL2020★ 4 cited

The Role of Pragmatic and Discourse Context in Determining Argument Impact

Esin Durmus, Faisal Ladhak, Claire Cardie

Research in the social sciences and psychology has shown that the persuasiveness of an argument depends not only the language employed, but also on attributes of the source/communi…