Dag Trygve Truslew Haug

Dag Trygve Truslew Haug

Universitetet i Oslo

H-index: 22

Europe-Norway

About Dag Trygve Truslew Haug

Dag Trygve Truslew Haug, With an exceptional h-index of 22 and a recent h-index of 14 (since 2020), a distinguished researcher at Universitetet i Oslo, specializes in the field of Linguistics, Syntax, Semantics, Historical Linguistics, Computational Linguistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

25–31 Jul 2024 Europe/Athens timezone

Experiments in training transformer sequence-to-sequence DRS parsers

Linguistically inspired roadmap for building biologically reliable protein language models

Integrating rules and neural nets for morphological tagging of Norwegian-Results and challenges

Rule-based semantic interpretation for Universal Dependencies

The semantic map of when and its typological parallels

Formal semantics for dependency grammar

The long and the short of it: DRASTIC, a semantically annotated dataset containing sentences of more natural length

Dag Trygve Truslew Haug Information

University

Position

___

Citations(all)

1892

Citations(since 2020)

1076

Cited By

1206

hIndex(all)

22

hIndex(since 2020)

14

i10Index(all)

45

i10Index(since 2020)

29

Email

University Profile Page

Universitetet i Oslo

Google Scholar

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Dag Trygve Truslew Haug Skills & Research Interests

Linguistics

Syntax

Semantics

Historical Linguistics

Computational Linguistics

Top articles of Dag Trygve Truslew Haug

Title

Journal

Author(s)

Publication Date

25–31 Jul 2024 Europe/Athens timezone

Europe

Thórhallur Eythórsson

Dag Haug

Nikolaos Lavidas

Ioanna Sitaridou

Eva Zehentner

...

2024/7

Experiments in training transformer sequence-to-sequence DRS parsers

Ahmet Yıldırım

Dag Haug

2023/6

Linguistically inspired roadmap for building biologically reliable protein language models

Mai Ha Vu

Rahmad Akbar

Philippe A Robert

Bartlomiej Swiatczak

Geir Kjetil Sandve

...

2023/5

Integrating rules and neural nets for morphological tagging of Norwegian-Results and challenges

Dag Trygve Truslew Haug

Ahmet Yildirim

Kristin Hagen

Anders Nøklestad

2023/3/20

Rule-based semantic interpretation for Universal Dependencies

Jamie Y Findlay

Saeedeh Salimifar

Ahmet Yıldırım

Dag TT Haug

2023/3

The semantic map of when and its typological parallels

Frontiers in Communication

Dag Haug

Nilo Pedrazzini

2023

Formal semantics for dependency grammar

Dag TT Haug

Jamie Y Findlay

2023/3

The long and the short of it: DRASTIC, a semantically annotated dataset containing sentences of more natural length

Dag T. T. Haug

Jamie Y. Findlay

Ahmet Yıldırım

2023/6

Notes on the Text of Plautus, Menaechmi 497 and Truculentus 311–312

Symbolae Osloenses

Dag Trygve Truslew Haug

2022/12/31

NARC–Norwegian anaphora resolution corpus

International Conference on Computational Linguistics (ICCL)(COLING)

Petter Mæhlum

Dag Trygve Truslew Haug

Tollef Emil Jørgensen

Andre Kåsen

Anders Nøklestad

...

2022

The Norwegian Dialect Corpus Treebank

Andre Kåsen

Kristin Hagen

Anders Nøklestad

Joel Priestley

Per Erik Solberg

...

2022

Managing scope ambiguities in Glue via multistage proving

Proceedings of the Lexical Functional Grammar Conference

Jamie Findlay

Dag Haug

2022/12/31

Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction

Nature Computational Science

Philippe A Robert

Rahmad Akbar

Robert Frank

Milena Pavlović

Michael Widrich

...

2022/12

ImmunoLingo: Linguistics-based formalization of the antibody language

arXiv preprint arXiv:2209.12635

Mai Ha Vu

Philippe A Robert

Rahmad Akbar

Bartlomiej Swiatczak

Geir Kjetil Sandve

...

2022/9/26

Reciprocal scope at the syntax-semantics interface

Proceedings of the LFG-conference

Mary Dalrymple

Dag Trygve Truslew Haug

2022

Agreement

Dag Trygve Truslew Haug

2021

One billion synthetic 3D-antibody-antigen complexes enable unconstrained machine-learning formalized investigation of antibody specificity prediction

BioRXiV

Philippe A Robert

Rahmad Akbar

Robert Frank

Milena Pavlović

Michael Widrich

...

2021/7/8

A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding

Cell Reports

Rahmad Akbar

Philippe A Robert

Milena Pavlović

Jeliazko R Jeliazkov

Igor Snapkov

...

2021/3/16

How useful are Enhanced Universal Dependencies for semantic interpretation?

Jamie Yates Findlay

Dag Trygve Truslew Haug

2021

The genesis and typology of correlatives

Language

Oleg Belyaev

Dag Haug

2020

See List of Professors in Dag Trygve Truslew Haug University(Universitetet i Oslo)

Co-Authors

H-index: 40
Mary Dalrymple

Mary Dalrymple

University of Oxford

H-index: 31
Cathrine Fabricius-Hansen

Cathrine Fabricius-Hansen

Universitetet i Oslo

H-index: 21
John S. Y. Lee

John S. Y. Lee

City University of Hong Kong

H-index: 19
Kjell Johan Sæbø

Kjell Johan Sæbø

Universitetet i Oslo

H-index: 12
Hanne Martine Eckhoff

Hanne Martine Eckhoff

University of Oxford

H-index: 6
Marek Majer

Marek Majer

Uniwersytet Lódzki

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