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This paper describes NomBank, a project that will provide argument structure for instances of common nouns in the Penn Treebank II corpus. NomBank is part of a larger effort to add additional layers of annotation to the Penn Tree-bank II corpus. The University of Pennsylva-nia's PropBank, NomBank and other annotation projects taken together should lead to(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)
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)
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)