Add to ORKGThis paper will introduce a procedure that we call pair annotation after pair programming. We describe initial annotation procedure of the TDB, followed by the inception of the pair annotation idea and how it came to be used in the Turkish Discourse Bank. We discuss the observed benefits and issues encountered during the process, and conclude by discussing the major benefit of pair annotation, namely higher inter-annotator agreement values
An entity linking dataset created from the social media website, Reddit. The dataset contains 619 po...
a good language model is essential to a postprocessing algorithm for recognition systems. Trigger pa...
In this paper we explain how we annotated subordinators in the Turkish Discourse Bank (TDB), an effo...
In this chapter, we provide an overview of Turkish Discourse Bank, a resource of ∼ 400,000 words b...
In this paper, we report on the annotation procedures we developed for annotating the Turkish Discou...
In this paper we present the recent developments on Turkish Discourse Bank (TDB). We first summarize...
This paper describes the European MATE project and its work towards speech corpus annotation standar...
This paper describes on-going efforts to annotate a corpus of almost 16,000 answer pairs with an est...
In this paper, we describe an annotation environment developed for the marking of discourse structur...
In this paper, we describe an annotation environment developed for the marking of discourse structur...
In this paper, the METU Turkish Discourse Bank Browser, a tool developed for browsing the annotated ...
The Turkish Discourse Bank (TDB) is a resource of approximately 400,000 words in its current release...
This paper describes the current state of the Turkish Discourse Bank, the first publicly available a...
International audienceIn this abstract we present a methodology to improve Argument annotation guide...
The paper proposes a new complex method of corpus creation under the constraint of bounded, short pe...
An entity linking dataset created from the social media website, Reddit. The dataset contains 619 po...
a good language model is essential to a postprocessing algorithm for recognition systems. Trigger pa...
In this paper we explain how we annotated subordinators in the Turkish Discourse Bank (TDB), an effo...
In this chapter, we provide an overview of Turkish Discourse Bank, a resource of ∼ 400,000 words b...
In this paper, we report on the annotation procedures we developed for annotating the Turkish Discou...
In this paper we present the recent developments on Turkish Discourse Bank (TDB). We first summarize...
This paper describes the European MATE project and its work towards speech corpus annotation standar...
This paper describes on-going efforts to annotate a corpus of almost 16,000 answer pairs with an est...
In this paper, we describe an annotation environment developed for the marking of discourse structur...
In this paper, we describe an annotation environment developed for the marking of discourse structur...
In this paper, the METU Turkish Discourse Bank Browser, a tool developed for browsing the annotated ...
The Turkish Discourse Bank (TDB) is a resource of approximately 400,000 words in its current release...
This paper describes the current state of the Turkish Discourse Bank, the first publicly available a...
International audienceIn this abstract we present a methodology to improve Argument annotation guide...
The paper proposes a new complex method of corpus creation under the constraint of bounded, short pe...
An entity linking dataset created from the social media website, Reddit. The dataset contains 619 po...
a good language model is essential to a postprocessing algorithm for recognition systems. Trigger pa...
In this paper we explain how we annotated subordinators in the Turkish Discourse Bank (TDB), an effo...