8 citations · 22 across the 20 of their papers we have counts for
8 papers · 1 filter
Ring That Bell: A Corpus and Method for Multimodal Metaphor Detection in Videos
Khalid Alnajjar, Mika Hämäläinen, Shuo Zhang
We present the first openly available multimodal metaphor annotated corpus. The corpus consists of videos including audio and subtitles that have been annotated by experts. Further…
Modern French Poetry Generation with RoBERTa and GPT-2
Mika Hämäläinen, Khalid Alnajjar, Thierry Poibeau
We present a novel neural model for modern poetry generation in French. The model consists of two pretrained neural models that are fine-tuned for the poem generation task. The enc…
Emotion Conditioned Creative Dialog Generation
Khalid Alnajjar, Mika Hämäläinen
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, sadnes…
Automatic Generation of Factual News Headlines in Finnish
Maximilian Koppatz, Khalid Alnajjar, Mika Hämäläinen +1
We present a novel approach to generating news headlines in Finnish for a given news story. We model this as a summarization task where a model is given a news article, and its tas…
Video Games as a Corpus: Sentiment Analysis using Fallout New Vegas Dialog
Mika Hämäläinen, Khalid Alnajjar, Thierry Poibeau
We present a method for extracting a multilingual sentiment annotated dialog data set from Fallout New Vegas. The game developers have preannotated every line of dialog in the game…
When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and its Intensity
Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann +2
Prerecorded laughter accompanying dialog in comedy TV shows encourages the audience to laugh by clearly marking humorous moments in the show. We present an approach for automatical…
Multilingual Persuasion Detection: Video Games as an Invaluable Data Source for NLP
Teemu Pöyhönen, Mika Hämäläinen, Khalid Alnajjar
Role-playing games (RPGs) have a considerable amount of text in video game dialogues. Quite often this text is semi-annotated by the game developers. In this paper, we extract a mu…
Harnessing Multilingual Resources to Question Answering in Arabic
Khalid Alnajjar, Mika Hämäläinen
The goal of the paper is to predict answers to questions given a passage of Qur'an. The answers are always found in the passage, so the task of the model is to predict where an ans…