Search Results for author: Varada Kolhatkar

Found 9 papers, 1 papers with code

Classifying Constructive Comments

2 code implementations11 Apr 2020 Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada

The quality of the annotation scheme and the resulting dataset is evaluated using measurements of inter-annotator agreement, expert assessment of a sample, and by the constructiveness sub-characteristics, which we show provide a proxy for the general constructiveness concept.

Domain Adaptation

Survey: Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey

no code implementations CL 2018 Varada Kolhatkar, Adam Roussel, Stefanie Dipper, Heike Zinsmeister

Most of the existing approaches to anaphora annotation and resolution focus on nominal-antecedent anaphora, classifying many of the cases where the antecedents are syntactically non-nominal as non-anaphoric.

Machine Translation Question Answering +1

Anaphora Resolution with the ARRAU Corpus

no code implementations WS 2018 Massimo Poesio, Yulia Grishina, Varada Kolhatkar, Nafise Moosavi, Ina Roesiger, Adam Roussel, Fabian Simonjetz, Alex Uma, ra, Olga Uryupina, Juntao Yu, Heike Zinsmeister

The most distinctive feature of the corpus is the annotation of a wide range of anaphoric relations, including bridging references and discourse deixis in addition to identity (coreference).

Using New York Times Picks to Identify Constructive Comments

no code implementations WS 2017 Varada Kolhatkar, Maite Taboada

We examine the extent to which we are able to automatically identify constructive online comments.

Constructive Language in News Comments

no code implementations WS 2017 Varada Kolhatkar, Maite Taboada

We discuss the characteristics of constructive news comments, and present methods to identify them.

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