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A Two|stage Sieve Approach for Quote Attribution


A Two-stage Sieve Approach for Quote Attribution - ACL Anthology

We present a deterministic sieve-based system for attributing quotations in literary text and a new dataset: QuoteLi3.

A Two-stage Sieve Approach for Quote Attribution

We present a deterministic sieve-based system for attributing quotations in literary text and a new dataset: QuoteLi31. Quote attribution, determining who said ...

A Two-stage Sieve Approach for Quote Attribution - Semantic Scholar

A deterministic sieve-based system for attributing quotations in literary text and a new dataset that achieves an average F-score of 87.5 across three ...

A Two-stage Sieve Approach for Quote Attribution - ResearchGate

The deterministic sieve-based model of Muzny et al. (2017b) regards quotation attribution as a two-step process: quote-mention linking and mention-speaker ...

Michael Fang | Papers With Code

A Two-stage Sieve Approach for Quote Attribution ... We present a deterministic sieve-based system for attributing quotations in literary text and a new dataset: ...

arXiv:2406.11380v1 [cs.CL] 17 Jun 2024

We propose a structured evaluation method- ology of LLMs for quotation attribution, that could be applied to other literary tasks. Our.

Michael Fang - ACL Anthology

A Two-stage Sieve Approach for Quote. Attribution: Grace Muzny | Michael Fang | Angel Chang | Dan Jurafsky. Proceedings of the 15th Conference.

‪Grace Muzny‬ - ‪Google Scholar‬

A two-stage sieve approach for quote attribution. G Muzny, M Fang, A Chang, D Jurafsky. Proceedings of the 15th Conference of the European Chapter of the …, ...

arXiv:2406.11368v1 [cs.CL] 17 Jun 2024

The deterministic sieve-based model of. Muzny et al. (2017b) regards quotation attribution as a two-step process: quote-mention linking and.

muzny/quoteannotator - GitHub

Grace Muzny, Michael Fang, Angel Fang and Dan Jurafsky. A Two-stage Sieve Approach to Quote Attribution. In Proceedings of the European Chapter of the ...

Identifying Speakers and Addressees of Quotations in Novels with ...

... quotation attribution, i.e., identifying the speaker of the quotation. ... A two-stage sieve approach for quote attribution. In: Proceedings of ...

Identifying Speakers and Addressees in Dialogues Extracted from ...

A two-stage sieve approach for quote attribution. In Pro- ceedings of the 15th Conference of the European Chapter of the Association for Computational ...

A Neural Approach to Quote Attribution in Dutch Literature - GitHub

The Quote Annotator tool is from: Grace Muzny, Michael Fang, Angel Fang and Dan Jurafsky. A Two-stage Sieve Approach to Quote Attribution. In Proceedings of ...

a Study of Authorship Verification Models for Quotation Attribution

Grace Muzny, Michael Fang, Angel Chang, and Dan Ju- rafsky. 2017b. A two-stage sieve approach for quote · attribution. In Proceedings of the ...

A Dataset for Quotation Attribution in Literary Texts - ResearchGate

Muzny, G., Fang, M., Chang, A., and Jurafsky, D. (2017). A two-stage sieve approach for quote at-.

Keeping Their Words: Direct and Indirect Chinese Quote Attribution ...

Grace Muzny, Michael Fang, Angel Chang, and Dan Jurafsky. 2017. A Two-stage Sieve Approach for Quote Attribution. In EACL 2017. 460–470.

[PDF] QuoteR: A Benchmark of Quote Recommendation for Writing

A Two-stage Sieve Approach for Quote Attribution · Dan JurafskyAngel X. ChangGrace MuznyMichael Fang. Computer Science, Linguistics. Conference of the European ...

QuoteAttributionAnnotator (Stanford JavaNLP API)

It uses a two-stage process that first links quotes to mentions and then mentions to speakers. Each stage consists in a series of sieves that each try to ...

FanfictionNLP: A Text Processing Pipeline for Fanfiction - NSF PAR

Chang, and. Dan Jurafsky. 2017. A two-stage sieve approach for · quote attribution. In Proceedings of the 15th Confer- ence of the ...

University of Groningen Direct Speech Quote Attribution for Dutch ...

A two-stage sieve approach for quote · attribution. In Proceedings of EACL, pages 460–470. Tim O'Keefe, Silvia Pareti, James R. Curran, Irena ...