Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics Demonstrations

NAACL HLT 2009 Human Language Technologies : The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics

Creating Local Coherence: An Empirical Assessment

Two of the mechanisms for creating natural transitions between adjacent sentences in a text, resulting in local coherence, involve discourse relations and switches of focus of attention between discourse entities. These two aspects of local coherence have been traditionally discussed and studied separately. But some empirical studies have given strong evidence for the necessity of understanding...

Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics Proceedings of the Doctoral Consortium

Structural information in language is important for obtaining a better understanding of a human communication (e.g., sentence segmentation, speaker turns, and topic segmentation). Human communication involves a variety of multimodal behaviors that signal both propositional content and structure, e.g., gesture, gaze, and body posture. These non-verbal signals have tight temporal and semantic lin...

Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics Short Papers

We present a new type of neural probabilistic language model that learns a mapping from both words and explicit word features into a continuous space that is then used for word prediction. Additionally, we investigate several ways of deriving continuous word representations for unknown words from those of known words. The resulting model significantly reduces perplexity on sparse-data tasks whe...

NAACL HLT 2009 Human Language Technologies : The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics

This paper examines the applicability of classifier combination approaches such as bagging and boosting for coreference resolution. To the best of our knowledge, this is the first effort that utilizes such techniques for coreference resolution. In this paper, we provide experimental evidence which indicates that the accuracy of the coreference engine can potentially be increased by use of baggi...