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pro vyhledávání: '"Anton Bakalov"'
Publikováno v:
EMNLP
We address fine-grained multilingual language identification: providing a language code for every token in a sentence, including codemixed text containing multiple languages. Such text is prevalent online, in documents, social media, and message boar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c693be5937a7a66cec1f0e151ef44a5
http://arxiv.org/abs/1810.04142
http://arxiv.org/abs/1810.04142
Autor:
Ji Ma, Slav Petrov, Emily Pitler, Ryan McDonald, David J. Weiss, Jan A. Botha, Alexandru Salcianu, Anton Bakalov
Publikováno v:
EMNLP
We show that small and shallow feed-forward neural networks can achieve near state-of-the-art results on a range of unstructured and structured language processing tasks while being considerably cheaper in memory and computational requirements than d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f282e351b02f921746110be7e25474e
Publikováno v:
JCDL
Concept taxonomies such as MeSH, the ACM Computing Classification System, and the NY Times Subject Headings are frequently used to help organize data. They typically consist of a set of concept names organized in a hierarchy. However, these names and
Publikováno v:
CIKM
Recent studies suggest that associative browsing can be beneficial for personal information access. Associative browsing is intuitive for the user and complements other methods of accessing personal information, such as keyword search. In our previou
Publikováno v:
WWW
Search engines today offer a rich user experience, no longer restricted to "ten blue links". For example, the query "Canon EOS Digital Camera" returns a photo of the digital camera, and a list of suitable merchants and prices. Similar results are off
Publikováno v:
CIKM
A typical collection of personal information contains many documents and mentions many concepts (e.g., person names, events, etc.). In this environment, associative browsing between these concepts and documents can be useful as a complement for searc
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642009570
ECIR
ECIR
It is well known that the use of a good Machine Transliteration system improves the retrieval performance of Cross-Language Information Retrieval (CLIR) systems when the query and document languages have different orthography and phonetic alphabets.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8be7685b403bdd4e6a9dc47395ad5ef
https://doi.org/10.1007/978-3-642-00958-7_39
https://doi.org/10.1007/978-3-642-00958-7_39