Knowledge Sources

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AFFSZ4CN2" target="_blank" >RIV/00216208:11320/25:FFSZ4CN2 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204302789&doi=10.1007%2f978-981-97-0747-8_2&partnerID=40&md5=a0e5f0e5fb735802f7235de962b44028" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204302789&doi=10.1007%2f978-981-97-0747-8_2&partnerID=40&md5=a0e5f0e5fb735802f7235de962b44028</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-981-97-0747-8_2" target="_blank" >10.1007/978-981-97-0747-8_2</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Knowledge Sources

Popis výsledku v původním jazyce

Knowledge sources are essential components of many NLP tasks, such as question answering (Chen et al., Reading wikipedia to answer open-domain questions. Preprint, 2017), fact verification (Thorne et al., Fever: a large-scale dataset for fact extraction and verification. Preprint, 2018), entity linking (Guo and Barbosa, Semantic Web 9(4):459–479, 2018; Josifoski et al., Zero-shot entity linking with dense entity retrieval. EMNLP, 2020), slot filling (Levy et al., Zero-shot relation extraction via reading comprehension. Preprint, 2017), dialogue (Dinan et al., Wizard of wikipedia: Knowledge-powered conversational agents. Preprint, 2018), etc. One task can also be the knowledge source for another task, such part-of-speech tagging (Schmid, Part-of-speech tagging with neural networks. Preprint, 1994) for dependency parsing (Qi et al., Universal dependency parsing from scratch. Preprint, 2019), etc. However, the availability, quality, and suitability of different types of knowledge sources vary depending on the domain, language, and task requirements. This chapter provides a comprehensive overview of the main types of knowledge sources used in NLP, such as statistical models, knowledge bases, task specific corpus with human annotations, etc. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Název v anglickém jazyce

Knowledge Sources

Popis výsledku anglicky

Knowledge sources are essential components of many NLP tasks, such as question answering (Chen et al., Reading wikipedia to answer open-domain questions. Preprint, 2017), fact verification (Thorne et al., Fever: a large-scale dataset for fact extraction and verification. Preprint, 2018), entity linking (Guo and Barbosa, Semantic Web 9(4):459–479, 2018; Josifoski et al., Zero-shot entity linking with dense entity retrieval. EMNLP, 2020), slot filling (Levy et al., Zero-shot relation extraction via reading comprehension. Preprint, 2017), dialogue (Dinan et al., Wizard of wikipedia: Knowledge-powered conversational agents. Preprint, 2018), etc. One task can also be the knowledge source for another task, such part-of-speech tagging (Schmid, Part-of-speech tagging with neural networks. Preprint, 1994) for dependency parsing (Qi et al., Universal dependency parsing from scratch. Preprint, 2019), etc. However, the availability, quality, and suitability of different types of knowledge sources vary depending on the domain, language, and task requirements. This chapter provides a comprehensive overview of the main types of knowledge sources used in NLP, such as statistical models, knowledge bases, task specific corpus with human annotations, etc. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Knowledge-augmented Methods for Natural Language Processing

ISBN

978-981-9707-49-2

Počet stran výsledku

15

Strana od-do

7-21

Počet stran knihy

255

Název nakladatele

Springer

Místo vydání

—

Kód UT WoS kapitoly

—