Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Elior Sulem"'
Publikováno v:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
Publikováno v:
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics.
Publikováno v:
ACL/IJCNLP (2)
Event extraction has long been a challenging task, addressed mostly with supervised methods that require expensive annotation and are not extensible to new event ontologies. In this work, we explore the possibility of zero-shot event extraction by fo
Publikováno v:
Proceedings of the 25th Conference on Computational Natural Language Learning.
Publikováno v:
Findings of the Association for Computational Linguistics: EMNLP 2021.
Publikováno v:
SemEval@NAACL-HLT
We present the SemEval 2019 shared task on UCCA parsing in English, German and French, and discuss the participating systems and results. UCCA is a cross-linguistically applicable framework for semantic representation, which builds on extensive typol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf2a0e8a3d90971e422387bf51245172
Publikováno v:
ACL (1)
The non-indexed parts of the Internet (the Darknet) have become a haven for both legal and illegal anonymous activity. Given the magnitude of these networks, scalably monitoring their activity necessarily relies on automated tools, and notably on NLP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8305a6738c0f64028a86beb11b8882c
Publikováno v:
EMNLP
BLEU is widely considered to be an informative metric for text-to-text generation, including Text Simplification (TS). TS includes both lexical and structural aspects. In this paper we show that BLEU is not suitable for the evaluation of sentence spl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::720633299a1269ec98437c53f5fe279f
http://arxiv.org/abs/1810.05995
http://arxiv.org/abs/1810.05995
Publikováno v:
NAACL-HLT
Current measures for evaluating text simplification systems focus on evaluating lexical text aspects, neglecting its structural aspects. In this paper we propose the first measure to address structural aspects of text simplification, called SAMSA. It
Publikováno v:
ACL (1)
Sentence splitting is a major simplification operator. Here we present a simple and efficient splitting algorithm based on an automatic semantic parser. After splitting, the text is amenable for further fine-tuned simplification operations. In partic