Gold Standard Data

In this paper we describe the structure, organisa- tion and results of the SENSEVAL exercise for Span- ish. We present several design decisions we taked for the exercise, we describe …...

Active learning has been applied to dif- ferent NLP tasks, with the aim of limit- ing the amount of time and cost for human annotation. Most studies on active learn- …...

We consider the task of classifying chat con- tributions by dialogue act in a multi-party set- ting. This extends the problem significantly over the 1-1 chat scenario due to the …...

This task focuses on evaluating word similari- ty computation in Chinese. We follow the way of Finkelstein et al. (2002) to select word pairs. Then we organize twenty under- graduates …...

AbstractMost current approaches in phylogenetic linguistics require as input multilingual word lists partitioned into sets of etymologically related words (cognates). Cognate identification is so far done manually by experts, which …...

AbstractIn this paper, we address the problem of predicting one of three functions for the English pronoun ‘it’: anaphoric, event reference or pleonastic. This disambiguation is valuable in the context …...

AbstractWhile rule-based detection of subject-verb agreement (SVA) errors is sensitive to syntactic parsing errors and irregularities and exceptions to the main rules, neural sequential labelers have a tendency to overfit …...

AbstractThis paper describes the Duluth systems that participated in SemEval–2020 Task 12, Multilingual Offensive Language Identification in Social Media (OffensEval–2020). We participated in the three English language tasks. Our systems …...

AbstractCross-document event coreference resolution (CDCR) is the task of identifying which event mentions refer to the same events throughout a collection of documents. Annotating CDCR data is an arduous and …...

Modern text simplification (TS) heavily relies on the availability of gold standard data to build machine learning models. However, ex- isting studies show that parallel TS corpora contain inaccurate simplifications …...