Predicting the Resolution of Referring Expressions from User Behavior
نویسندگان
چکیده
We present a statistical model for predicting how the user of an interactive, situated NLP system resolved a referring expression. The model makes an initial prediction based on the meaning of the utterance, and revises it continuously based on the user’s behavior. The combined model outperforms its components in predicting reference resolution and when to give feedback.
منابع مشابه
The Value of Perfectionism in Predicting Coping Strategies in Drug-User Women
Background: Positive perfectionism helps the individual to experience fewer worries and less anxiety. The aim of the present study was to assess the value of coping strategies to predict perfectionism in drug-user women. Methods: This cross-sectional study was performed on 361 consecutive drug-user women who were randomly selected from a total of 6237 women referring to the Drug Abuse Centers o...
متن کاملResolving Referring Expressions in Conversational Dialogs for Natural User Interfaces
Unlike traditional over-the-phone spoken dialog systems (SDSs), modern dialog systems tend to have visual rendering on the device screen as an additional modality to communicate the system’s response to the user. Visual display of the system’s response not only changes human behavior when interacting with devices, but also creates new research areas in SDSs. Onscreen item identification and res...
متن کاملCognitive Status and Form of Reference in Multimodal Human-Computer Interaction
We analyze a corpus of referring expressions collected from user interactions with a multimodal travel guide application. The analysis suggests that, in dramatic contrast to normal modes of human-human interaction, the interpretation of referring expressions can be computed with very high accuracy using a model which pairs an impoverished notion of discourse state with a simple set of rules tha...
متن کاملCoordination of referring expressions in multimodal human-computer dialogue
This study examines coordination of referring expressions in multimodal human-computer dialogue, i.e. to what extent users’ choices of referring expressions are affected by the referring expressions that the system is designed to use. An experiment was conducted, using a semi-automatic multimodal dialogue system for apartment seeking. The user and the system could refer to areas and apartments ...
متن کاملLearning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems
We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to understand in technical domains where users may not know the technical ‘jargon’ names of the domain entities. In such cases, dialogue systems must be able to model the user’s (lexical) domain knowledge and use appropriate ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013