Sökning: "Joakim Nivre"

Visar resultat 11 - 15 av 29 avhandlingar innehållade orden Joakim Nivre.

1. 11. Discourse in Statistical Machine Translation

   Författare :Christian Hardmeier; Joakim Nivre; Jörg Tiedemann; Marcello Federico; Lluís Màrquez; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Statistical machine translation; Discourse-level machine translation; Document decoding; Local search; Pronominal anaphora; Pronoun translation; Neural networks; Computational Linguistics; Datorlingvistik;

   Sammanfattning : This thesis addresses the technical and linguistic aspects of discourse-level processing in phrase-based statistical machine translation (SMT). Connected texts can have complex text-level linguistic dependencies across sentences that must be preserved in translation. However, the models and algorithms of SMT are pervaded by locality assumptions. LÄS MER

3. 12. Cross-language Ontology Learning : Incorporating and Exploiting Cross-language Data in the Ontology Learning Process

   Författare :Hans Hjelm; Martin Volk; Joakim Nivre; Philipp Cimiano; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Ontologies; Ontology learning; Distributional semantics; Knowledge acquisition; Text mining; Computational linguistics; Datorlingvistik; datorlingvistik; Computational Linguistics;

   Sammanfattning : An ontology is a knowledge-representation structure, where words, terms or concepts are defined by their mutual hierarchical relations. Ontologies are becoming ever more prevalent in the world of natural language processing, where we currently see a tendency towards using semantics for solving a variety of tasks, particularly tasks related to information access. LÄS MER

4. 13. Ask and distract : Data-driven methods for the automatic generation of multiple-choice reading comprehension questions from Swedish texts

   Författare :Dmytro Kalpakchi; Johan Boye; Joakim Nivre; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; multiple choice questions; question generation; distractor generation; reading comprehension; second-language learners; L2 learning; Natural Language Generation; flervalsfrågor; frågegenerering; distraktorsgenerering; läsförståelse; andraspråkslärande; L2-inlärning; Natural Language Generation; Speech and Music Communication; Tal- och musikkommunikation;

   Sammanfattning : Multiple choice questions (MCQs) are widely used for summative assessment in many different subjects. The tasks in this format are particularly appealing because they can be graded swiftly and automatically. LÄS MER

5. 14. Incongruous tense in Swedish : Past and present tense use with deviant time reference

   Författare :Per Klang; Ulla Stroh-Wollin; Joakim Nivre; Therese Lindström Tiedemann; Uppsala universitet; []
   Nyckelord :HUMANIORA; HUMANITIES; tense; time reference; aktionsarten; modality; evidentiality; mirativity; tense harmony; episodic and semantic memory; the historical present; point of view; direct speech; Swedish; Scandinavian Languages; Nordiska språk;

   Sammanfattning : This thesis deals with incongruous tense in Swedish. Incongruous tense refers to uses of the past tense for events that overlap or succeed the moment of speech, which is normally considered to apply to the present tense, and uses of the present tense for events that precede the moment of speech, which is normally considered to apply to the past tense. LÄS MER

7. 15. The Search for Syntax : Investigating the Syntactic Knowledge of Neural Language Models Through the Lens of Dependency Parsing

   Författare :Artur Kulmizev; Joakim Nivre; Roger Levy; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; syntax; language models; dependency parsing; universal dependencies; Datorlingvistik; Computational Linguistics;

   Sammanfattning : Syntax — the study of the hierarchical structure of language — has long featured as a prominent research topic in the field of natural language processing (NLP). Traditionally, its role in NLP was confined towards developing parsers: supervised algorithms tasked with predicting the structure of utterances (often for use in downstream applications). LÄS MER