Dependency parsing is a central NLP task. In this paper we show that the common evaluation for unsupervised dependency parsing is highly sensitive to problematic annotations. We s...
Roy Schwartz, Omri Abend, Roi Reichart, Ari Rappop...
In this paper, we present an unsupervized segmentation system tested on Mandarin Chinese. Following Harris's Hypothesis in Kempe (1999) and Tanaka-Ishii's (2005) reformu...
We present a Bayesian nonparametric model for estimating tree insertion grammars (TIG), building upon recent work in Bayesian inference of tree substitution grammars (TSG) via Dir...
We present an evaluation framework for plagiarism detection.1 The framework provides performance measures that address the specifics of plagiarism detection, and the PAN-PC-10 cor...
In a previous work of ours Chinnakotla et al. (2010) we introduced a novel framework for Pseudo-Relevance Feedback (PRF) called MultiPRF. Given a query in one language called Sour...