no code implementations • RANLP 2021 • Shafqat Mumtaz Virk, Dana Dannélls, Lars Borin, Markus Forsberg
FrameNet is a lexical semantic resource based on the linguistic theory of frame semantics.
no code implementations • LREC 2020 • Michelle Waldisp{\"u}hl, Dana Dannells, Lars Borin
We present NordiCon, a database containing medieval Nordic personal names attested in Continental sources.
no code implementations • LREC 2020 • Shafqat Mumtaz Virk, Harald Hammarstr{\"o}m, Lars Borin, Markus Forsberg, S{\o}ren Wichmann
Language catalogues and typological databases are two important types of resources containing different types of knowledge about the world{'}s natural languages.
no code implementations • LREC 2020 • Maria Eskevich, Franciska de Jong, Alex K{\"o}nig, er, Darja Fi{\v{s}}er, Dieter van Uytvanck, Tero Aalto, Lars Borin, Olga Gerassimenko, Jan Hajic, Henk van den Heuvel, Neeme Kahusk, Krista Liin, Martin Matthiesen, Stelios Piperidis, Kadri Vider
CLARIN is a European Research Infrastructure providing access to digital language resources and tools from across Europe and beyond to researchers in the humanities and social sciences.
no code implementations • LREC 2020 • Niklas Zechner, Lars Borin
Bring{'}s thesaurus (Bring) is a Swedish counterpart of Roget, and its digitized version could make a valuable language resource for use in many and diverse natural language processing (NLP) applications.
no code implementations • RANLP 2019 • Shafqat Mumtaz Virk, Azam Sheikh Muhammad, Lars Borin, Muhammad Irfan Aslam, Saania Iqbal, Nazia Khurram
We describe a novel system for automatic extraction of typological linguistic information from descriptive grammars of natural languages, applying the theory of frame semantics in the form of frame-semantic parsing.
no code implementations • WS 2019 • Anna Lindahl, Lars Borin, Jacobo Rouces
This paper presents a first attempt at using Walton{'}s argumentation schemes for annotating arguments in Swedish political text and assessing the feasibility of using this particular set of schemes with two linguistically trained annotators.
no code implementations • 15 Nov 2018 • Nina Tahmasebi, Lars Borin, Adam Jatowt
In this article we focus on diachronic conceptual change as an extension of semantic change.
no code implementations • 12 Jun 2017 • Ildikó Pilán, Elena Volodina, Lars Borin
We present a framework and its implementation relying on Natural Language Processing methods, which aims at the identification of exercise item candidates from corpora.
no code implementations • LREC 2014 • Dimitrios Kokkinakis, Jyrki Niemi, Sam Hardwick, Krister Lind{\'e}n, Lars Borin
Named entity recognition (NER) is a knowledge-intensive information extraction task that is used for recognizing textual mentions of entities that belong to a predefined set of categories, such as locations, organizations and time expressions.
no code implementations • LREC 2014 • Lars Borin, Anju Saxena, Taraka Rama, Bernard Comrie
Like many other research fields, linguistics is entering the age of big data.
no code implementations • LREC 2014 • Georg Rehm, Hans Uszkoreit, Sophia Ananiadou, N{\'u}ria Bel, Audron{\.e} Bielevi{\v{c}}ien{\.e}, Lars Borin, Ant{\'o}nio Branco, Gerhard Budin, Nicoletta Calzolari, Walter Daelemans, Radovan Garab{\'\i}k, Marko Grobelnik, Carmen Garc{\'\i}a-Mateo, Josef van Genabith, Jan Haji{\v{c}}, Inma Hern{\'a}ez, John Judge, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lind{\'e}n, Bernardo Magnini, Joseph Mariani, John McNaught, Maite Melero, Monica Monachini, Asunci{\'o}n Moreno, Jan Odijk, Maciej Ogrodniczuk, Piotr P{\k{e}}zik, Stelios Piperidis, Adam Przepi{\'o}rkowski, Eir{\'\i}kur R{\"o}gnvaldsson, Michael Rosner, Bolette Pedersen, Inguna Skadi{\c{n}}a, Koenraad De Smedt, Marko Tadi{\'c}, Paul Thompson, Dan Tufi{\c{s}}, Tam{\'a}s V{\'a}radi, Andrejs Vasi{\c{l}}jevs, Kadri Vider, Jolanta Zabarskaite
This article provides an overview of the dissemination work carried out in META-NET from 2010 until early 2014; we describe its impact on the regional, national and international level, mainly with regard to politics and the situation of funding for LT topics.
no code implementations • LREC 2014 • Lars Borin, Jens Allwood, Gerard de Melo
Evaluation of automatic language-independent methods for language technology resource creation is difficult, and confounded by a largely unknown quantity, viz.
no code implementations • LREC 2014 • Elena Volodina, Ildik{\'o} Pil{\'a}n, Lars Borin, Therese Lindstr{\"o}m Tiedemann
We present L{\"a}rka, the language learning platform of Spr{\"a}kbanken (the Swedish Language Bank).
no code implementations • 4 Jan 2014 • Taraka Rama, Lars Borin
We investigate if the sizes of three different N-gram distributions of the world's language families obey a power law.
no code implementations • WS 2013 • S, Bolette ford Pedersen, Lars Borin, Markus Forsberg, Neeme Kahusk, Krister Lind{\'e}n, Jyrki Niemi, Niklas Nisbeth, Lars Nygaard, Heili Orav, Eirikur R{\"o}gnvaldsson, Mitchell Seaton, Kadri Vider, Kaarlo Voionmaa
no code implementations • LREC 2012 • Lars Borin, Markus Forsberg, Johan Roxendal
The infrastructure consists of three main components: the Korp corpus pipeline, the Korp backend, and the Korp frontend.
no code implementations • LREC 2012 • Lars Borin, Markus Forsberg, Leif-J{\"o}ran Olsson, Jonatan Uppstr{\"o}m
We present our ongoing work on Karp, Spr{\aa}kbanken's (the Swedish Language Bank) open lexical infrastructure, which has two main functions: (1) to support the work on creating, curating, and integrating our various lexical resources; and (2) to publish daily versions of the resources, making them searchable and downloadable.