Noun Phrase Chunking and Categorization for Authoring Aids
نویسندگان
چکیده
Effective authoring aids, whether for novice, secondlanguage, or experienced writers, require linguistic knowledge. With respect to depth of analysis, authoring aids that aim to support revising and editing go beyond POS-tagging but cannot work on complete, mostly well-formed sentences to perform deep syntactic analysis, since a text undergoing revision is in a constant state of flux. In order to cope with incomplete and changing text, authoring aids for revising and editing thus have to use shallow analyses, which are fast and robust. In this paper, we discuss noun phrase chunking for German as resource for language-aware editing functions as developed in the LingURed project. We will identify requirements for resources with respect to availability, interactivity, performance and quality of results. From our experiments we also provide some information concerning ambiguity of German noun phrases.
منابع مشابه
Phrase Chunking Using Entropy Guided Transformation Learning
Entropy Guided Transformation Learning (ETL) is a new machine learning strategy that combines the advantages of decision trees (DT) and Transformation Based Learning (TBL). In this work, we apply the ETL framework to four phrase chunking tasks: Portuguese noun phrase chunking, English base noun phrase chunking, English text chunking and Hindi text chunking. In all four tasks, ETL shows better r...
متن کاملAutomatic Evaluation Method for Machine Translation Using Noun-Phrase Chunking
As described in this paper, we propose a new automatic evaluation method for machine translation using noun-phrase chunking. Our method correctly determines the matching words between two sentences using corresponding noun phrases. Moreover, our method determines the similarity between two sentences in terms of the noun-phrase order of appearance. Evaluation experiments were conducted to calcul...
متن کاملJointly Labeling Multiple Sequences: A Factorial HMM Approach
We present new statistical models for jointly labeling multiple sequences and apply them to the combined task of partof-speech tagging and noun phrase chunking. The model is based on the Factorial Hidden Markov Model (FHMM) with distributed hidden states representing partof-speech and noun phrase sequences. We demonstrate that this joint labeling approach, by enabling information sharing betwee...
متن کاملWeak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text
This paper introduces a new annotated corpus based on an existing informal text corpus: the NUS SMS Corpus (Chen and Kan, 2013). The new corpus includes 76,490 noun phrases from 26,500 SMS messages, annotated by university students. We then explored several graphical models, including a novel variant of the semi-Markov conditional random fields (semi-CRF) for the task of noun phrase chunking. W...
متن کاملNoun Phrase Chunking in Hebrew: Influence of Lexical and Morphological Features
We present a method for Noun Phrase chunking in Hebrew. We show that the traditional definition of base-NPs as nonrecursive noun phrases does not apply in Hebrew, and propose an alternative definition of Simple NPs. We review syntactic properties of Hebrew related to noun phrases, which indicate that the task of Hebrew SimpleNP chunking is harder than base-NP chunking in English. As a confirmat...
متن کامل