activity
20172021
most citedTurkish PoS Tagging by Reducing Sparsity with Morpheme Tags in Small Datasets

3 citations · 3 across the 1 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2021

Probing Multilingual Language Models for Discourse

Murathan Kurfalı, Robert Östling

Pre-trained multilingual language models have become an important building block in multilingual natural language processing. In the present paper, we investigate a range of such m…

cs.CL2021

Let's be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction

Murathan Kurfalı, Robert Östling

In implicit discourse relation classification, we want to predict the relation between adjacent sentences in the absence of any overt discourse connectives. This is challenging eve…

cs.CL2020

Labeling Explicit Discourse Relations using Pre-trained Language Models

Murathan Kurfalı

Labeling explicit discourse relations is one of the most challenging sub-tasks of the shallow discourse parsing where the goal is to identify the discourse connectives and the boun…

cs.CL2019

Zero-shot transfer for implicit discourse relation classification

Murathan Kurfalı, Robert Östling

Automatically classifying the relation between sentences in a discourse is a challenging task, in particular when there is no overt expression of the relation. It becomes even more…

cs.CL20173 cited

Turkish PoS Tagging by Reducing Sparsity with Morpheme Tags in Small Datasets

Burcu Can, Ahmet Üstün, Murathan Kurfalı

Sparsity is one of the major problems in natural language processing. The problem becomes even more severe in agglutinating languages that are highly prone to be inflected. We deal…