Using Collocation Statistics in Information Extraction

The main objective in participating MUC-7 is to investigate and experiment with the use of collocation statistics in information extraction, which refers to the frequency counts of the collocational relations extracted from a parsed corpus.

Abstract

INTRODUCTION Our main objective in participating MUC-7 is to investigate and experiment with the use of collocation statistics in information extraction. A collocation is a habitual word combination, such as "weather a storm", "file a lawsuit", and "the falling yen". Collocation statistics refers to the frequency counts of the collocational relations extracted from a parsed corpus. For example, out of 6577 instances of "addition" in a corpus, 5190 was used as the object of "in". Out of 3214 instances of "hire", 12 of them take "alien" as the object. We participated in two tasks: Named Entity and Coreference. In both tasks, the input text is processed in two passes. During the first pass we use the parse trees of input texts, combined with collocation statistics obtained from a large corpus, to automatically acquire or enrich lexical entries which are then used in the second pass. COLLOCATION DATABASE We define a collocation to be a dependency triple that cons