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Mika Hämäläinen

3 accepted papers

2022

When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and Its Intensity

COLING 2022main

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 automatically detecting humor in the Friends TV show using multimodal data. Our model is capable of recognizing whether an utteranc…

2021

Finnish Dialect Identification: The Effect of Audio and Text

EMNLP 2021main

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 present the first approach to automatically detect the dialect of a speaker based on a dialect transcript and transcrip…

2020

Ve’rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement

COLING 2020system demonstrations

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. The idea is to incorporate community activities into a state-of-the-art finite-state language description of a…