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pro vyhledávání: '"Peskov, Denis"'
Autor:
Hoyle, Alexander, Goel, Pranav, Peskov, Denis, Hian-Cheong, Andrew, Boyd-Graber, Jordan, Resnik, Philip
Topic model evaluation, like evaluation of other unsupervised methods, can be contentious. However, the field has coalesced around automated estimates of topic coherence, which rely on the frequency of word co-occurrences in a reference corpus. Conte
Externí odkaz:
http://arxiv.org/abs/2107.02173
Natural language processing systems are often downstream of unreliable inputs: machine translation, optical character recognition, or speech recognition. For instance, virtual assistants can only answer your questions after understanding your speech.
Externí odkaz:
http://arxiv.org/abs/1908.02914
Autor:
Peskov, Denis
Natural language processing needs substantial data to make robust predictions. Automatic methods, unspecialized crowds, and domain experts can be used to collect conversational and question answering NLP datasets. A hybrid solution of combining domai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cd302d60ca2ddf7fe7c69a19858472c
Autor:
Redmiles, Elissa M., Maszkiewicz, Lisa, Hwang, Emily, Kuchhal, Dhruv, Liu, Everest, Morales, Miraida, Peskov, Denis, Rao, Sudha, Stevens, Rock, Gligoric, Kristina, Kross, Sean, Mazurek, Michelle L., Daumé, Hal
The readability of a digital text can influence people’s information acquisition (Wikipedia articles), online security (how-to articles), and even health (WebMD). Readability metrics can also alter search rankings and are used to evaluate AI system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b28e0b6a474217d93a1b53a6a77b7dbf