EMNLP
2004
13 years 5 months ago
2004
We present a data and error analysis for semantic role labelling. In a first experiment, we build a generic statistical model for semantic role assignment in the FrameNet paradigm...
EMNLP
2004
13 years 5 months ago
2004
This paper takes a critical look at the features used in the semantic role tagging literature and show that the information in the input, generally a syntactic parse tree, has yet...
EMNLP
2004
13 years 5 months ago
2004
Chinese part-of-speech (POS) tagging assigns one POS tag to each word in a Chinese sentence. However, since words are not demarcated in a Chinese sentence, Chinese POS tagging req...
EMNLP
2004
13 years 5 months ago
2004
In this paper we investigate whether paragraphs can be identified automatically in different languages and domains. We propose a machine learning approach which exploits textual a...
EMNLP
2004
13 years 5 months ago
2004
We perform Noun Phrase Bracketing by using a local, maximum entropy-based tagging model, which produces bracketing hypotheses. These hypotheses are subsequently fed into a reranki...
EMNLP
2004
13 years 5 months ago
2004
Active learning (AL) promises to reduce the cost of annotating labeled datasets for trainable human language technologies. Contrary to expectations, when creating labeled training...
EMNLP
2004
13 years 5 months ago
2004
We describe experiments carried out with adaptive language and translation models in the context of an interactive computer-assisted translation program. We developed cache-based ...
EMNLP
2004
13 years 5 months ago
2004
Traditional word alignment approaches cannot come up with satisfactory results for Named Entities. In this paper, we propose a novel approach using a maximum entropy model for nam...
EMNLP
2004
13 years 5 months ago
2004
Broad-coverage repositories of semantic relations between verbs could benefit many NLP tasks. We present a semi-automatic method for extracting fine-grained semantic relations bet...
EMNLP
2004
13 years 5 months ago
2004
We address the issue of judging the significance of rare events as it typically arises in statistical naturallanguage processing. We first define a general approach to the problem...