Using the Web in Machine Learning for Other-Anaphora Resolution
نویسندگان
چکیده
We present a machine learning framework for resolving other-anaphora. Besides morpho-syntactic, recency, and semantic features based on existing lexical knowledge resources, our algorithm obtains additional semantic knowledge from the Web. We search the Web via lexico-syntactic patterns that are specific to other-anaphors. Incorporating this innovative feature leads to an 11.4 percentage point improvement in the classifier’s F -measure (25% improvement relative to results without this feature).
منابع مشابه
Other-Anaphora Resolution in Biomedical Texts with Automatically Mined Patterns
This paper proposes an other-anaphora resolution approach in bio-medical texts. It utilizes automatically mined patterns to discover the semantic relation between an anaphor and a candidate antecedent. The knowledge from lexical patterns is incorporated in a machine learning framework to perform anaphora resolution. The experiments show that machine learning approach combined with the auto-mine...
متن کاملUsing the Web for Nominal Anaphora Resolution
We present a novel method for resolving non-pronominal anaphora. Instead of using handcrafted lexical resources, we search the Web with shallow patterns which can be predetermined for the type of anaphoric phenomenon. In experiments for other-anaphora and bridging, our shallow, almost knowledge-free and unsupervised method achieves state-ofthe-art results.
متن کاملCorpus based coreference resolution for Farsi text
"Coreference resolution" or "finding all expressions that refer to the same entity" in a text, is one of the important requirements in natural language processing. Two words are coreference when both refer to a single entity in the text or the real world. So the main task of coreference resolution systems is to identify terms that refer to a unique entity. A coreference resolution tool could be...
متن کاملGeoreferencing Semi-Structured Place-Based Web Resources Using Machine Learning
In recent years, the shared content on the web has had significant growth. A great part of these information are publicly available in the form of semi-strunctured data. Moreover, a significant amount of these information are related to place. Such types of information refer to a location on the earth, however, they do not contain any explicit coordinates. In this research, we tried to georefer...
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 کامل