30 citations · 92 across the 23 of their papers we have counts for
25 papers
Detecting Depression in Thai Blog Posts: a Dataset and a Baseline
Mika Hämäläinen, Pattama Patpong, Khalid Alnajjar +2
We present the first openly available corpus for detecting depression in Thai. Our corpus is compiled by expert verified cases of depression in several online blogs. We experiment…
Finnish Dialect Identification: The Effect of Audio and Text
Mika Hämäläinen, Khalid Alnajjar, Niko Partanen +1
Finnish is a language with multiple dialects that not only differ from each other in terms of accent (pronunciation) but also in terms of morphological forms and lexical choice. We…
The Current State of Finnish NLP
Mika Hämäläinen, Khalid Alnajjar
There are a lot of tools and resources available for processing Finnish. In this paper, we survey recent papers focusing on Finnish NLP related to many different subcategories of N…
When a Computer Cracks a Joke: Automated Generation of Humorous Headlines
Khalid Alnajjar, Mika Hämäläinen
Automated news generation has become a major interest for new agencies in the past. Oftentimes headlines for such automatically generated news articles are unimaginative as they ha…
How Cute is Pikachu? Gathering and Ranking Pokémon Properties from Data with Pokémon Word Embeddings
Mika Hämäläinen, Khalid Alnajjar, Niko Partanen
We present different methods for obtaining descriptive properties automatically for the 151 original Pokémon. We train several different word embeddings models on a crawled Pokémon…
Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers
Mika Hämäläinen, Khalid Alnajjar
We survey human evaluation in papers presenting work on creative natural language generation that have been published in INLG 2020 and ICCC 2020. The most typical human evaluation…
Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography
Mika Hämäläinen, Niko Partanen, Khalid Alnajjar
Texts written in Old Literary Finnish represent the first literary work ever written in Finnish starting from the 16th century. There have been several projects in Finland that hav…
Apurinã Universal Dependencies Treebank
Jack Rueter, Marília Fernanda Pereira de Freitas, Sidney da Silva Facundes +2
This paper presents and discusses the first Universal Dependencies treebank for the Apurinã language. The treebank contains 76 fully annotated sentences, applies 14 parts-of-speech…
Never guess what I heard... Rumor Detection in Finnish News: a Dataset and a Baseline
Mika Hämäläinen, Khalid Alnajjar, Niko Partanen +1
This study presents a new dataset on rumor detection in Finnish language news headlines. We have evaluated two different LSTM based models and two different BERT models, and have f…
Neural Morphology Dataset and Models for Multiple Languages, from the Large to the Endangered
Mika Hämäläinen, Niko Partanen, Jack Rueter +1
We train neural models for morphological analysis, generation and lemmatization for morphologically rich languages. We present a method for automatically extracting substantially l…
!Qué maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and a Baseline
Khalid Alnajjar, Mika Hämäläinen
We construct the first ever multimodal sarcasm dataset for Spanish. The audiovisual dataset consists of sarcasm annotated text that is aligned with video and audio. The dataset rep…
The Great Misalignment Problem in Human Evaluation of NLP Methods
Mika Hämäläinen, Khalid Alnajjar
We outline the Great Misalignment Problem in natural language processing research, this means simply that the problem definition is not in line with the method proposed and the hum…
From Plenipotentiary to Puddingless: Users and Uses of New Words in Early English Letters
Tanja Säily, Eetu Mäkelä, Mika Hämäläinen
We study neologism use in two samples of early English correspondence, from 1640--1660 and 1760--1780. Of especial interest are the early adopters of new vocabulary, the social gro…
Endangered Languages are not Low-Resourced!
Mika Hämäläinen
The term low-resourced has been tossed around in the field of natural language processing to a degree that almost any language that is not English can be called "low-resourced"; so…
Speech Recognition for Endangered and Extinct Samoyedic languages
Niko Partanen, Mika Hämäläinen, Tiina Klooster
Our study presents a series of experiments on speech recognition with endangered and extinct Samoyedic languages, spoken in Northern and Southern Siberia. To best of our knowledge,…
Normalization of Different Swedish Dialects Spoken in Finland
Mika Hämäläinen, Niko Partanen, Khalid Alnajjar
Our study presents a dialect normalization method for different Finland Swedish dialects covering six regions. We tested 5 different models, and the best model improved the word er…
Ve'rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement
Khalid Alnajjar, Mika Hämäläinen, Jack Rueter +1
We present an open-source online dictionary editing system, Ve'rdd, that offers a chance to re-evaluate and edit grassroots dictionaries that have been exposed to multiple amateur…
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnish
Quan Duong, Mika Hämäläinen, Simon Hengchen
Historical corpora are known to contain errors introduced by OCR (optical character recognition) methods used in the digitization process, often said to be degrading the performanc…
Automated Prediction of Medieval Arabic Diacritics
Khalid Alnajjar, Mika Hämäläinen, Niko Partanen +1
This study uses a character level neural machine translation approach trained on a long short-term memory-based bi-directional recurrent neural network architecture for diacritizat…
Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity
Mika Hämäläinen, Niko Partanen, Khalid Alnajjar +2
We present a novel approach for adapting text written in standard Finnish to different dialects. We experiment with character level NMT models both by using a multi-dialectal and t…
Morphological Disambiguation of South Sámi with FSTs and Neural Networks
Mika Hämäläinen, Linda Wiechetek
We present a method for conducting morphological disambiguation for South Sámi, which is an endangered language. Our method uses an FST-based morphological analyzer to produce an a…
FST Morphology for the Endangered Skolt Sami Language
Jack Rueter, Mika Hämäläinen
We present advances in the development of a FST-based morphological analyzer and generator for Skolt Sami. Like other minority Uralic languages, Skolt Sami exhibits a rich morpholo…
Let's FACE it. Finnish Poetry Generation with Aesthetics and Framing
Mika Hämäläinen, Khalid Alnajjar
We present a creative poem generator for the morphologically rich Finnish language. Our method falls into the master-apprentice paradigm, where a computationally creative genetic a…
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction
Mika Hämäläinen, Simon Hengchen
A great deal of historical corpora suffer from errors introduced by the OCR (optical character recognition) methods used in the digitization process. Correcting these errors manual…