Search Results for author:
Found 54 papers, 22 papers with code
Linguistic change and historical periodization of Old Literary Finnish
In this study, we have normalized and lemmatized an Old Literary Finnish corpus using a lemmatization model trained on texts from Agricola.
Using Graph-Based Methods to Augment Online Dictionaries of Endangered Languages
Many endangered Uralic languages have multilingual machine readable dictionaries saved in an XML format.
¡Qué maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and a Baseline
We construct the first ever multimodal sarcasm dataset for Spanish.
Rules Ruling Neural Networks - Neural vs. Rule-Based Grammar Checking for a Low Resource Language
The precision of the rule-based model tested on a corpus with real errors (81. 0%) is slightly better than the neural model (79. 4%).
Morphosyntactic Disambiguation in an Endangered Language Setting
Endangered Uralic languages present a high variety of inflectional forms in their morphology.
Processing M.A. Castrén’s Materials: Multilingual Historical Typed and Handwritten Manuscripts
The study forms a technical report of various tasks that have been performed on the materials collected and published by Finnish ethnographer and linguist, Matthias Alexander Castrén (1813–1852).
Predicting Sustainable Development Goals Using Course Descriptions -- from LLMs to Conventional Foundation Models
We present our work on predicting United Nations sustainable development goals (SDG) for university courses.
Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages
Furthermore, we align these word embeddings and present a novel neural network model that is trained on English data to conduct sentiment analysis and then applied on endangered language data through the aligned word embeddings.
Ring That Bell: A Corpus and Method for Multimodal Metaphor Detection in Videos
We present the first openly available multimodal metaphor annotated corpus.
Emotion Conditioned Creative Dialog Generation
We present a DialGPT based model for generating creative dialog responses that are conditioned based on one of the following emotions: anger, disgust, fear, happiness, pain, sadness and surprise.
Modern French Poetry Generation with RoBERTa and GPT-2
We present a novel neural model for modern poetry generation in French.
Video Games as a Corpus: Sentiment Analysis using Fallout New Vegas Dialog
We conduct experiments on multilingual, multilabel sentiment analysis on the extracted data set using multilingual BERT, XLMRoBERTa and language specific BERT models.
Automatic Generation of Factual News Headlines in Finnish
We present a novel approach to generating news headlines in Finnish for a given news story.
When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and its Intensity
Our results show that the model is capable of correctly detecting whether an utterance is humorous 78% of the time and how long the audience's laughter reaction should last with a mean absolute error of 600 milliseconds.
Multilingual Persuasion Detection: Video Games as an Invaluable Data Source for NLP
Role-playing games (RPGs) have a considerable amount of text in video game dialogues.
Harnessing Multilingual Resources to Question Answering in Arabic
Our approach consists of two steps, first we train a BERT model to predict a set of possible answers in a passage.
Processing M.A. Castrén's Materials: Multilingual Typed and Handwritten Manuscripts
The study forms a technical report of various tasks that have been performed on the materials collected and published by Finnish ethnographer and linguist, Matthias Alexander Castr\'en (1813-1852).
TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language
Measuring the semantic similarity of different texts has many important applications in Digital Humanities research such as information retrieval, document clustering and text summarization.
Detecting Depression in Thai Blog Posts: a Dataset and a Baseline
We present the first openly available corpus for detecting depression in Thai.
Finnish Dialect Identification: The Effect of Audio and Text
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.
The Current State of Finnish NLP
There are a lot of tools and resources available for processing Finnish.
When a Computer Cracks a Joke: Automated Generation of Humorous Headlines
Automated news generation has become a major interest for new agencies in the past.
How Cute is Pikachu? Gathering and Ranking Pokémon Properties from Data with Pokémon Word Embeddings
Based on our experiments, it is better to train a model with domain specific data than to use a pretrained model.
Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers
We survey human evaluation in papers presenting work on creative natural language generation that have been published in INLG 2020 and ICCC 2020.
Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography
Texts written in Old Literary Finnish represent the first literary work ever written in Finnish starting from the 16th century.
Never guess what I heard... Rumor Detection in Finnish News: a Dataset and a Baseline
However, a model fine-tuned on Multilingual BERT reaches the best factual label accuracy of 97. 2%.
Apurinã Universal Dependencies Treebank
The construction of the treebank has also served as an opportunity to develop finite-state description of the language and facilitate the transfer of open-source infrastructure possibilities to an endangered language of the Amazon.
Neural Morphology Dataset and Models for Multiple Languages, from the Large to the Endangered
We train neural models for morphological analysis, generation and lemmatization for morphologically rich languages.
!Qué maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and a Baseline
We construct the first ever multimodal sarcasm dataset for Spanish.
The Great Misalignment Problem in Human Evaluation of NLP Methods
These results highlight that the Great Misalignment Problem is a major one and it affects the validity and reproducibility of results obtained by a human evaluation.
Corpona – The Pythonic Way of Processing Corpora
Every NLP researcher has to work with different XML or JSON encoded files.
Endangered Languages are not Low-Resourced!
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"; sometimes even just for the sake of making a mundane or mediocre paper appear more interesting and insightful.
From Plenipotentiary to Puddingless: Users and Uses of New Words in Early English Letters
We study neologism use in two samples of early English correspondence, from 1640--1660 and 1760--1780.
Speech Recognition for Endangered and Extinct Samoyedic languages
Our study presents a series of experiments on speech recognition with endangered and extinct Samoyedic languages, spoken in Northern and Southern Siberia.
Normalization of Different Swedish Dialects Spoken in Finland
Our study presents a dialect normalization method for different Finland Swedish dialects covering six regions.
Ve'rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement
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 editors.
Open-Source Morphology for Endangered Mordvinic Languages
This document describes shared development of finite-state description of two closely related but endangered minority languages, Erzya and Moksha.
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnish
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 performance of NLP systems.
Automated Prediction of Medieval Arabic Diacritics
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 diacritization of Medieval Arabic.
Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity
The models are tested with over 20 different dialects.
Morphological Disambiguation of South Sámi with FSTs and Neural Networks
We present a method for conducting morphological disambiguation for South S\'ami, which is an endangered language.
FST Morphology for the Endangered Skolt Sami Language
We present advances in the development of a FST-based morphological analyzer and generator for Skolt Sami.
Let's FACE it. Finnish Poetry Generation with Aesthetics and Framing
We present a creative poem generator for the morphologically rich Finnish language.
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction
A great deal of historical corpora suffer from errors introduced by the OCR (optical character recognition) methods used in the digitization process.
An Open Online Dictionary for Endangered Uralic Languages
This makes it possible to integrate the system with the existing open-source Giellatekno infrastructure that provides and utilizes XML formatted dictionaries for use in a variety of NLP tasks.
A Creative Dialog Generator for Fallout 4
This software demonstration describes a mod for Fallout 4 that will adapt in-game dialog to the context of the current state of the game.
Creative Contextual Dialog Adaptation in an Open World RPG
Role playing games rely typically on hand-written dialog that has no flexibility in adapting to the game state such as the level of the player.
Modelling the Socialization of Creative Agents in a Master-Apprentice Setting: The Case of Movie Title Puns
This paper presents work on modelling the social psychological aspect of socialization in the case of a computationally creative master-apprentice system.
UralicNLP: An NLP Library for Uralic Languages
UralicNLP is a natural language processing library for small Uralic languages.
Extracting a Semantic Database with Syntactic Relations for Finnish to Boost Resources for Endangered Uralic Languages
This paper introduces the second version of SemFi, a semantic database for Finnish with syntactic relations.
Harnessing NLG to create Finnish poetry automatically
This paper presents a new, NLG based approach to poetry generation in Finnish for use as a part of a bigger Poem Machine system the objective of which is to provide a platform for human computer co-creativity.
Reconocimiento automático del sarcasmo: ¡Esto va a funcionar bien!
El objetivo de este trabajo es, en primer lugar, analizar el sarcasmo en el corpus elegido, y en segundo lugar, basándose en este análisis, elaborar un algoritmo de aprendizaje automático supervisado capaz de distinguir entre un input sarcástico y uno no sarcástico.
