2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2016
Unsupervised Dialogue Act Induction using Gaussian Mixtures
Tomáš Brychcín, Pavel Král
This paper introduces a new unsupervised approach for dialogue act induction. Given the sequence of dialogue utterances, the task is to assign them the labels representing their fu…
cs.CL2016★ 2 cited
New word analogy corpus for exploring embeddings of Czech words
Lukáš Svoboda, Tomáš Brychcín
The word embedding methods have been proven to be very useful in many tasks of NLP (Natural Language Processing). Much has been investigated about word embeddings of English words…
cs.CL2016
Latent Tree Language Model
Tomas Brychcin
In this paper we introduce Latent Tree Language Model (LTLM), a novel approach to language modeling that encodes syntax and semantics of a given sentence as a tree of word roles. T…