Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Philippe Laban"'
Publikováno v:
Transactions of the Association for Computational Linguistics. 10:163-177
In the summarization domain, a key requirement for summaries is to be factually consistent with the input document. Previous work has found that natural language inference (NLI) models do not perform competitively when applied to inconsistency detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5b7e88b0a38109d42545bfc18c2f66a
https://doi.org/10.1162/tacl_a_00453
https://doi.org/10.1162/tacl_a_00453
Modern news aggregators do the hard work of organizing a large news stream, creating collections for a given news story with tens of source options. This paper shows that navigating large source collections for a news story can be challenging without
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53a1bea5e6a6a9323aa23764d27d6287
http://arxiv.org/abs/2302.08997
http://arxiv.org/abs/2302.08997
Publikováno v:
ACL/IJCNLP (2)
The Shuffle Test is the most common task to evaluate whether NLP models can measure coherence in text. Most recent work uses direct supervision on the task; we show that by simply finetuning a RoBERTa model, we can achieve a near perfect accuracy of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8e444efb6210bdd4d3527d1a3717c49
http://arxiv.org/abs/2107.03448
http://arxiv.org/abs/2107.03448
Publikováno v:
NAACL-HLT
Recent progress in Natural Language Understanding (NLU) has seen the latest models outperform human performance on many standard tasks. These impressive results have led the community to introspect on dataset limitations, and iterate on more nuanced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10bf0547bd0e77e575ecb9b0202ca88c
http://arxiv.org/abs/2105.05391
http://arxiv.org/abs/2105.05391
This work describes an automatic news chatbot that draws content from a diverse set of news articles and creates conversations with a user about the news. Key components of the system include the automatic organization of news articles into topical c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::123fdb6a61c4ff386e186e86c4610b8f
http://arxiv.org/abs/2105.05392
http://arxiv.org/abs/2105.05392
Autor:
Marti A. Hearst, Philippe Laban
Publikováno v:
NEWS@ACL
We propose a method to aggregate and organize a large, multi-source dataset of news articles into a collection of major stories, and automatically name and visualize these stories in a working system. The approach is able to run online, as new articl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32e172bcb55ba97f15cc326f2d6c8a07
https://doi.org/10.18653/v1/w17-2701
https://doi.org/10.18653/v1/w17-2701