A Character-Word Compositional Neural Language Model for Finnish

1 code implementation • 10 Dec 2016 • Matti Lankinen, Hannes Heikinheimo, Pyry Takala, Tapani Raiko, Juha Karhunen

Inspired by recent research, we explore ways to model the highly morphological Finnish language at the level of characters while maintaining the performance of word-level models.

Language Modelling

DopeLearning: A Computational Approach to Rap Lyrics Generation

1 code implementation • 18 May 2015 • Eric Malmi, Pyry Takala, Hannu Toivonen, Tapani Raiko, Aristides Gionis

First, we develop a prediction model to identify the next line of existing lyrics from a set of candidate next lines.

Gold-standard for Topic-specific Sentiment Analysis of Economic Texts

no code implementations • LREC 2014 • Pyry Takala, Pekka Malo, Ankur Sinha, Oskar Ahlgren

The annotations of 297 documents and over 9000 sentences can be used for research purposes when developing methods for detecting topic-wise sentiment in financial text.

Sentence Sentiment Analysis

Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts

2 code implementations • 19 Jul 2013 • Pekka Malo, Ankur Sinha, Pyry Takala, Pekka Korhonen, Jyrki Wallenius

The objective of this article is to investigate how semantic orientations can be better detected in financial and economic news by accommodating the overall phrase-structure information and domain-specific use of language.

Sentence Sentiment Analysis