Свитчборд

We apply a decision tree based approach to pronoun resolution in spoken dialogue. Our system deals with pronouns with NP- and non-NP-antecedents. We present a set of features designed for …...

We present STIR (STrongly Incremen- tal Repair detection), a system that de- tects speech repairs and edit terms on transcripts incrementally with minimal la- tency. STIR uses information-theoretic measures from …...

We present an approach to speech recogni- tion that uses only a neural network to map acoustic input to characters, a character-level language model, and a beam search decoding procedure. …...

AbstractIn this paper, we present a taxonomy of stories told in dialogue. We based our scheme on prior work analyzing narrative structure and method of telling, relation to storyteller identity, …...

AbstractWe propose a novel hierarchical Recurrent Neural Network (RNN) for learning sequences of Dialogue Acts (DAs). The input in this task is a sequence of utterances (i.e., conversational contributions) comprising …...

AbstractThis paper introduces a novel training/decoding strategy for sequence labeling. Instead of greedily choosing a label at each time step, and using it for the next prediction, we retain the …...