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A survey on semantic processing techniques
Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …
era of powerful pre-trained language models and large language models, the advancement …
A survey on zero pronoun translation
Zero pronouns (ZPs) are frequently omitted in pro-drop languages (eg Chinese, Hungarian,
and Hindi), but should be recalled in non-pro-drop languages (eg English). This …
and Hindi), but should be recalled in non-pro-drop languages (eg English). This …
A comprehensive review on feature set used for anaphora resolution
Abstract In linguistics, the Anaphora Resolution (AR) is the method of identifying the
antecedent for anaphora. In simple terms, this is the problem that helps to solve what the …
antecedent for anaphora. In simple terms, this is the problem that helps to solve what the …
Keywords extraction with deep neural network model
Keywords can express the main content of an article or a sentence. Keywords extraction is a
critical issue in many Natural Language Processing (NLP) applications and can improve the …
critical issue in many Natural Language Processing (NLP) applications and can improve the …
ZPR2: Joint zero pronoun recovery and resolution using multi-task learning and BERT
Zero pronoun recovery and resolution aim at recovering the dropped pronoun and pointing
out its anaphoric mentions, respectively. We propose to better explore their interaction by …
out its anaphoric mentions, respectively. We propose to better explore their interaction by …
Cross-lingual zero pronoun resolution
A Aloraini, M Poesio - … of the Twelfth Language Resources and …, 2020 - aclanthology.org
Abstract In languages like Arabic, Chinese, Italian, Japanese, Korean, Portuguese, Spanish,
and many others, predicate arguments in certain syntactic positions are not realized instead …
and many others, predicate arguments in certain syntactic positions are not realized instead …
Tackling zero pronoun resolution and non-zero coreference resolution jointly
Zero pronoun resolution aims at recognizing dropped pronouns and pointing out their
anaphoric mentions, while non-zero coreference resolution targets at clustering mentions …
anaphoric mentions, while non-zero coreference resolution targets at clustering mentions …
Keyphrase extraction with span-based feature representations
Keyphrases are capable of providing semantic metadata characterizing documents and
producing an overview of the content of a document. Since keyphrase extraction is able to …
producing an overview of the content of a document. Since keyphrase extraction is able to …
A multi-level methodology for the automated translation of a coreference resolution dataset: an application to the Italian language
A Minutolo, R Guarasci, E Damiano, G De Pietro… - Neural Computing and …, 2022 - Springer
In the last decade, the demand for readily accessible corpora has touched all areas of
natural language processing, including coreference resolution. However, it is one of the …
natural language processing, including coreference resolution. However, it is one of the …
Zero‐anaphora resolution in Korean based on deep language representation model: BERT
Y Kim, D Ra, S Lim - ETRI Journal, 2021 - Wiley Online Library
It is necessary to achieve high performance in the task of zero anaphora resolution (ZAR) for
completely understanding the texts in Korean, Japanese, Chinese, and various other …
completely understanding the texts in Korean, Japanese, Chinese, and various other …