In recent years, there has been a resurgence in research on empirical methods in natural
language processing. These methods employ learning techniques to automatically extract …

This article describes three statistical models for natural language parsing. The models
extend methods from probabilistic context-free grammars to lexicalized grammars, leading to …

Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted
entirely to techniques for producing knowledge from the vast body of unstructured Web data …

Memory-based language processing (MBLP) views language processing as being based on
the direct reuse of previous experience rather than on the use of rules or other structures …

from any type of computer printer. Page 1 INFORMATION TO USERS This manuscript has
been reproduced from the microfilm master. UMI films the text directly from the original or copy …

Broad coverage, high quality parsers are available for only a handful of languages. A
prerequisite for develo** broad coverage parsers for more languages is the annotation of …

Toward Semantics-Based Answer Pinpointing Page 1 Toward Semantics-Based Answer
Pinpointing Eduard Hovy, Laurie Gerber, Ulf Hermjakob, Chin-Yew Lin, Deepak Ravichandran …

IR techniques have proven quite successful at locating within large collections of documents
those relevant to a user's query. Often, however, the user wants not whole documents but …

This paper presents a machine learning system for parsing natural language that learns
from manually parsed example sentences, and parses unseen data at state-of-the-art …

This paper describes machine learning based parsing and question classification for
question answering. We demonstrate that for this type of application, parse trees have to be …