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NOMLEX (NOMinalization Lexicon) is a dictionary of English nominalizations currently under development at New York University. NOMLEX seeks not only to describe the allowed complements for a nominalization, but also to relate the nominal complements to the arguments of the corresponding verb. We consider both the main verbal arguments (subject, direct(More)
When complete, NomBank will provide annotation of noun arguments in Penn Treebank II (PTB). In PropBank, University of Pennsylva-nia annotators provide similar information for verbs. Given nominalization/verb mappings, the combination of NomBank and PropBank allows for generalization of arguments across parts of speech. This paper describes our annotation(More)
Especially for English, the number of hand-coded electronic resources available to the Natural Language Processing Community keeps growing: annotated corpora, treebanks, lexicons, wordnets, etc. Unfortunately, initial funding for such projects is much easier to obtain than the additional funding needed to enlarge or improve upon such resources. Thus once(More)
1 Introduction Automatic acquisition of translation rules from parallel sentence-Migned text takes a variety of forms. Some machine translation (MT) svstems treat aligned sentences as unstructured word sequences. Other systems, including our own ((Gr-ishman, 1994) and (Meyers et al., 1996)), syntactically analyze sentences (parse) before acquiring transfer(More)
The importance and role of multi-word expressions (MWE) in the description and processing of natural language has been long recognized. However, multi-word information has often been relegated to the marginal role of idiosyncratic lexical information. The need for MWE lexicons grows even more acute for multilingual applications, for which (sometimes(More)
This paper describes how NOMLEX, a dictionary of nominalizations, can be used in Information Extraction (IE). This paper details a procedure which maps syntactic and semantic information designed for writing an IE pattern for an active clause (IBM appointed Alice Smith as vice president) into a set of patterns for nominaliza-tions (e.g., IBM's appointment(More)
The availability of large files of manually-reviewed parse trees from the University of Pennsylvania "tree bank", along with a program for comparing system-generated parses against these "standard" parses, provides a new opportunity for evaluating different parsing strategies. We discuss some of the restructuring required to the output of our parser so that(More)