12 citations · 16 across the 9 of their papers we have counts for
6 papers · 1 filter
Mixtures of Unsupervised Lexicon Classification
Peratham Wiriyathammabhum
This paper presents a mixture version of the method-of-moment unsupervised lexicon classification by an incorporation of a Dirichlet process.
ClassBases at CASE-2022 Multilingual Protest Event Detection Tasks: Multilingual Protest News Detection and Automatically Replicating Manually Created Event Datasets
Peratham Wiriyathammabhum
In this report, we describe our ClassBases submissions to a shared task on multilingual protest event detection. For the multilingual protest news detection, we participated in sub…
PromptShots at the FinNLP-2022 ERAI Tasks: Pairwise Comparison and Unsupervised Ranking
Peratham Wiriyathammabhum
This report describes our PromptShots submissions to a shared task on Evaluating the Rationales of Amateur Investors (ERAI). We participated in both pairwise comparison and unsuper…
TEDB System Description to a Shared Task on Euphemism Detection 2022
Peratham Wiriyathammabhum
In this report, we describe our Transformers for euphemism detection baseline (TEDB) submissions to a shared task on euphemism detection 2022. We cast the task of predicting euphem…
Is Sluice Resolution really just Question Answering?
Peratham Wiriyathammabhum
Sluice resolution is a problem where a system needs to output the corresponding antecedents of wh-ellipses. The antecedents are elided contents behind the wh-words but are implicit…
Applying Deep Belief Networks to Word Sense Disambiguation
Peratham Wiriyathammabhum, Boonserm Kijsirikul, Hiroya Takamura +1
In this paper, we applied a novel learning algorithm, namely, Deep Belief Networks (DBN) to word sense disambiguation (WSD). DBN is a probabilistic generative model composed of mul…