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Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of Registers ...
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Deep learning for sentence clustering in essay grading support ...
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WikiBERT models: deep transfer learning for many languages ...
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Exploring Cross-sentence Contexts for Named Entity Recognition with BERT ...
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Abstract:
Named entity recognition (NER) is frequently addressed as a sequence classification task with each input consisting of one sentence of text. It is nevertheless clear that useful information for NER is often found also elsewhere in text. Recent self-attention models like BERT can both capture long-distance relationships in input and represent inputs consisting of several sentences. This creates opportunities for adding cross-sentence information in natural language processing tasks. This paper presents a systematic study exploring the use of cross-sentence information for NER using BERT models in five languages. We find that adding context as additional sentences to BERT input systematically increases NER performance. Multiple sentences in input samples allows us to study the predictions of the sentences in different contexts. We propose a straightforward method, Contextual Majority Voting (CMV), to combine these different predictions and demonstrate this to further increase NER performance. Evaluation on ...
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Keyword:
Computer and Information Science; Natural Language Processing; Neural Network
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URL: https://underline.io/lecture/6385-exploring-cross-sentence-contexts-for-named-entity-recognition-with-bert https://dx.doi.org/10.48448/c1he-ey84
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Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection ...
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Dependency parsing of biomedical text with BERT
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In: BMC Bioinformatics (2020)
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A neural classification method for supporting the creation of BioVerbNet ...
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A neural classification method for supporting the creation of BioVerbNet ...
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A neural classification method for supporting the creation of BioVerbNet ...
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A Neural Classification Method for Supporting the Creation of BioVerbNet ...
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