Robotic machine learning of anaphora
نویسندگان
چکیده
Our contribution tackles the problem of learning to understand anaphoric references in the context of robotic machine learning; e.g. Get the large screw Put it in the left hole. Our solution assumes the probabilistic theory of learning spelt out in earlier publications. Associations are formed probabilistically between constituents of the verbal command and constituents of a presupposed internal representation. The theory is extended, as a first step, to anaphora by learning how to distinguish between incorrect surface depth and the correct tree-structure depth of the anaphoric references.
منابع مشابه
A Machine Learning Approach to Resolve Event Anaphora
Anaphora Resolution is considered as one of the important area in the field of Natural Language Processing. A lot of research has been done in anaphora resolution for English Language, but in Hindi language the research is limited. Most of the researches for Hindi anaphora resolution work for entity anaphora resolution. This paper presents a machine learning approach which can works for event a...
متن کاملMachine Learning Approach for Resolving Pronominal Anaphora Using Hindi Dependency Treebank
Machine Learning facilitates the computers to mimic human intelligence by applying a set of rules to massive amounts of trained data and identifying patterns to make decisions and adapt based on what patterns are still uncovered. A number of applications ranging from spam detection, facial recognition, product recommendations to credit-card fraud detection, all of them apply machine learning pr...
متن کاملDetermination of Features for a Machine Learning Approach to Pronominal Anaphora Resolution in Basque
In this paper we present the preliminaries for a machine learning approach to resolve the pronominal anaphora in Basque language. In this work we determine the appropriate features to be used in this task.
متن کاملMachine Learning for Anaphora Resolution
We compare the performance of the Kennedy and Boguraev [12] anaphora resolution algorithm to the performance of a memory-based machine learning algorithm. For each pronoun, the machine learning algorithm is given the Kennedy and Boguraev feature set for a list of candidate antecedents, but it does not have access to the salience weights for the features. Nevertheless, a statistical analysis sho...
متن کاملIKAR: An Improved Kit for Anaphora Resolution for Polish
This paper presents Improved Kit for Anaphora resolution (IKAR) – a hybrid system for anaphora resolution for Polish that combines machine learning methods with hand written rules. We give an overview of anaphora types annotated in the corpus and inner workings of the system. The preliminary experiments evaluating IKAR resolution performance are discussed. We have achieved promising results usi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Robotica
دوره 16 شماره
صفحات -
تاریخ انتشار 1998