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Found 40 papers, 14 papers with code
¡Qué maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and a Baseline
We construct the first ever multimodal sarcasm dataset for Spanish.
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).
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.
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.
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.
Automatic Generation of Factual News Headlines in Finnish
We present a novel approach to generating news headlines in Finnish for a given news story.
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.
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%.
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.
When Word Embeddings Become Endangered
In this paper, we present a method for constructing word embeddings for endangered languages using existing word embeddings of different resource-rich languages and the translation dictionaries of resource-poor languages.
Corpona – The Pythonic Way of Processing Corpora
Every NLP researcher has to work with different XML or JSON encoded files.
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.
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.
Generating Modern Poetry Automatically in Finnish
We present a novel approach for generating poetry automatically for the morphologically rich Finnish language by using a genetic algorithm.
Dialect Text Normalization to Normative Standard Finnish
We compare different LSTMs and transformer models in terms of their effectiveness in normalizing dialectal Finnish into the normative standard Finnish.
Let's FACE it. Finnish Poetry Generation with Aesthetics and Framing
We present a creative poem generator for the morphologically rich Finnish language.
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.
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.
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.
A Master-Apprentice Approach to Automatic Creation of Culturally Satirical Movie Titles
Satire has played a role in indirectly expressing critique towards an authority or a person from time immemorial.
