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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8...60 Hits 61 – 80 of 1.194 61 Structural Arrangement of Simple Semantically Elementary Constructions ... Masytska, Tetiana; Vaseiko, Yulia. - : Zenodo, 2020 BASE Show details 62 On understanding character-level models for representing morphology ... Vania, Clara. - : The University of Edinburgh, 2020 BASE Show details 63 Word order preferences and the effect of phrasal length in SOV languages: evidence from sentence production in Persian Faghiri, Pegah; Samvelian, Pollet In: Glossa: a journal of general linguistics; Vol 5, No 1 (2020); 86 ; 2397-1835 (2020) BASE Show details 64 Automatic Pronoun Resolution for Swedish ; Automatisk pronomenbestämning på svenska Ahlenius, Camilla. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020 Abstract: This report describes a quantitative analysis performed to compare two different methods on the task of pronoun resolution for Swedish. The first method, an implementation of Mitkov’s algorithm, is a heuristic-based method — meaning that the resolution is determined by a number of manually engineered rules regarding both syntactic and semantic information. The second method is data-driven — a Support Vector Machine (SVM) using dependency trees and word embeddings as features. Both methods are evaluated on an annotated corpus of Swedish news articles which was created as a part of this thesis. SVM-based methods significantly outperformed the implementation of Mitkov’s algorithm. The best performing SVM model relies on tree kernels applied to dependency trees. The model achieved an F1-score of 0.76 for the positive class and 0.9 for the negative class, where positives are pairs of pronoun and noun phrase that corefer, and negatives are pairs that do not corefer. ; Rapporten beskriver en kvantitativ analys som genomförts för att jämföra två olika metoder för automatisk pronomenbestämning på svenska. Den första metoden, en implementation av Mitkovs algoritm, är en heuristisk metod vilket innebär att pronomenbestämningen görs med ett antal manuellt utformade regler som avser att fånga både syntaktisk och semantisk information. Den andra metoden är datadriven, en stödvektormaskin (SVM) som använder dependensträd och ordvektorer som särdrag. Båda metoderna utvärderades med hjälp av en annoterad datamängd bestående av svenska nyhetsartiklar som skapats som en del av denna avhandling. Den datadrivna metoden överträffade Mitkovs algoritm. Den SVM-modell som ger bäst resultat bygger på trädkärnor som tillämpas på dependensträd. Modellen uppnådde ett F1-värde på 0.76 för den positiva klassen och 0.9 för den negativa klassen, där de positiva datapunkterna utgörs av ett par av pronomen och nominalfras som korefererar, och de negativa datapunkterna utgörs av par som inte korefererar. Keyword: Computer and Information Sciences; Data- och informationsvetenskap; Dependency trees; Dependensträd; Mitkovs algoritm; Mitkov’s algorithm; Övervakad inlärning; Ordvektorer; Pronomenbestämning; Pronoun resolution; Stödvektormaskin; Supervised learning; Support Vector Machine; SVM-Light-TK; Trädkärnor; Tree kernels; Word embeddings URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289192 BASE Hide details 65 Open Challenges on Generating Referring Expressions for Human-Robot Interaction Leite, Iolanda; Dogan, Fethiye Irmak. - : KTH, Robotik, perception och lärande, RPL, 2020 BASE Show details 66 Теорія залежностей у сучасному синтаксисі ; The theory of dependency in contemporary syntax ; Теория зависимостей в современном синтаксисе Масицька, Тетяна Євгенівна; Masytska, Tetiana Evgenivna. - 2020 BASE Show details 67 Dependency Treebanks of Ancient Greek Prose Gorman, Vanessa B. In: Journal of Open Humanities Data; Vol 6 (2020); 1 ; 2059-481X (2020) BASE Show details 68 LanguageStructure/TuDeT v0.1 ... Ferraz Gerardi, Fabrício; Reichert, Stanislav; Aragon, Carolina. - : Zenodo, 2020 BASE Show details 69 Linguatec Tolosa Treebank ... Miletic, Aleksandra; Bras, Myriam; Esher, Louise. - : Zenodo, 2020 BASE Show details 70 Linguatec Tolosa Treebank ... Miletic, Aleksandra; Bras, Myriam; Esher, Louise. - : Zenodo, 2020 BASE Show details 71 LanguageStructure/TuDeT v0.1 ... Ferraz Gerardi, Fabrício; Reichert, Stanislav; Aragon, Carolina. - : Zenodo, 2020 BASE Show details 72 Word order preferences and the effect of phrasal length in SOV languages: evidence from sentence production in Persian Faghiri, Pegah; Samvelian, Pollet In: Glossa: a journal of general linguistics (2016-2021) ; https://hal.archives-ouvertes.fr/hal-02559840 ; Glossa: a journal of general linguistics (2016-2021), Ubiquity Press, 2020, 5 (1), pp.86. ⟨10.5334/gjgl.1078⟩ (2020) BASE Show details 73 Demographic-Aware Natural Language Processing Garimella, Aparna. - 2020 BASE Show details 74 Top-Down Grouping Affects Adjacent Dependency Learning Wang, Felix Hao; Zevin, Jason D.; Mintz, Toben H.... In: Psychology Faculty Publications (2020) BASE Show details 75 On understanding character-level models for representing morphology Vania, Clara. - : The University of Edinburgh, 2020 BASE Show details 76 Studying Dependency Maintenance Practices Through the Mining of Data from npm Packages Cogo, Filipe. - 2020 BASE Show details 77 Cognitive Constraints Built into Formal Grammars: Implications for Language Evolution Gómez-Rodríguez, Carlos; Christiansen, Morten H.; Ferrer-i-Cancho, Ramon. - : Ravignani, A., Barbieri, C., Martins, M., Flaherty, M., Jadoul, Y., Lattenkamp, E., Little, H., Mudd, K., Verhoef, T., 2020 BASE Show details 78 The structural motivation of palatalization ; A motivação estrutural da palatalização ; La motivación estructural de la palatalización Battisti, Elisa; Hermans, Ben. - 2020 BASE Show details 79 Self attended stack pointer networks for learning long term dependencies Can, Burcu; Tuç, Salih. - : Association for Computational Linguistics, 2020 BASE Show details 80 Induction of Minimalist Grammars over Morphemes Ermolaeva, Marina In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details Page: 1 2 3 4 5 6 7 8...60

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