Zobrazeno 1 - 8
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pro vyhledávání: '"SULEM, ELIOR"'
Autor:
Min, Bonan, Ross, Hayley, Sulem, Elior, Veyseh, Amir Pouran Ben, Nguyen, Thien Huu, Sainz, Oscar, Agirre, Eneko, Heinz, Ilana, Roth, Dan
Large, pre-trained transformer-based language models such as BERT have drastically changed the Natural Language Processing (NLP) field. We present a survey of recent work that uses these large language models to solve NLP tasks via pre-training then
Externí odkaz:
http://arxiv.org/abs/2111.01243
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:
http://arxiv.org/abs/1905.05543
Autor:
Hershcovich, Daniel, Aizenbud, Zohar, Choshen, Leshem, Sulem, Elior, Rappoport, Ari, Abend, Omri
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:
http://arxiv.org/abs/1903.02953
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:
http://arxiv.org/abs/1810.05995
Publikováno v:
Proc. of ACL 2018
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
Externí odkaz:
http://arxiv.org/abs/1810.05104
Publikováno v:
Proc. of NAACL 2018
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
Externí odkaz:
http://arxiv.org/abs/1810.05022
Autor:
Hershcovich, Daniel, Choshen, Leshem, Sulem, Elior, Aizenbud, Zohar, Rappoport, Ari, Abend, Omri
We announce a shared task on UCCA parsing in English, German and French, and call for participants to submit their systems. UCCA is a cross-linguistically applicable framework for semantic representation, which builds on extensive typological work an
Externí odkaz:
http://arxiv.org/abs/1805.12386
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