Báo cáo khoa học: "Automatic Event Extraction with Structured Preference Modeling" ppt

... show empirically that the structured preferences are crucial to the suc- cess of our task. Our model, trained with- out annotated data and with a small number of structured preferences, yields performance competitive ... approach using preference model- ing for the event extraction task. 6 Related Work Structured prediction with limited supervision is a popular topic in natu...

Ngày tải lên: 30/03/2014, 17:20

... report L2P performance without any syllabification infor- mation, with perfect dictionary syllabification, and with our small learned models of syllabification. L2P performance with dictionary syllabification ... explained in far more detail in (Tsochantaridis et al., 2004). 4 Syllabification with Structured SVMs In this paper we apply structured SVMs to the syl- labification problem. S...

Ngày tải lên: 17/03/2014, 02:20

... Detailed information extraction with different models. Results (see Table 3) show that compared with SVM, HMM achieves better recall. In our cascaded framework, the extraction range of detailed ... problem for HMMs. Such problems may occur when estimating either P(T|L) with unknown word w i or P(L) with unknown events. Bikel et al. (1999) mapped all unknown words to one...

Ngày tải lên: 20/02/2014, 15:20

... of event mentions which is gradually updated. Figure 1. Cross-doc Inference for Event Extraction 4.2 Within-Sentence Event Extraction For each event ... pro- vided for each event type. 2 Task and Baseline System 2.1 ACE Event Extraction Task The event extraction task we are addressing is that of the Automatic Content Ext...

Ngày tải lên: 23/03/2014, 17:20

... alignments, where each source word is aligned with zero or one target words, and therefore each target word can be aligned with many source words. Each source word is labelled with the index of its aligned target, ... aligned with zero or more source words. Many-to-many alignments are recoverable using the standard techniques for superimposing pre- dicted alignments in both translatio...

Ngày tải lên: 20/02/2014, 11:21

... dis- tributions of unbounded size with a dynamic param- eter set that grows with the size of the training data. One method of TSG induction is to represent a prob- abilistic TSG with Dirichlet Process priors ... baseline systems with this approach. 193 2.2 TSG induction One inherent difficulty in the use of TSGs is con- trolling the size of grammars automatically in- duced from data, w...

Ngày tải lên: 07/03/2014, 18:20

... classification simply deals with the is/is-not relationship and will have difficulty when two responses with similar feature values are clas- sified differently. With preference ranking, viola- tions ... be easily and usefully incorporated into a complete QA system. A discriminative preference ranking model with a preference for appropriate answers is trained and applied to unseen...

Ngày tải lên: 08/03/2014, 21:20

... 2011. c 2011 Association for Computational Linguistics Discovering Sociolinguistic Associations with Structured Sparsity Jacob Eisenstein Noah A. Smith Eric P. Xing School of Computer Science Carnegie ... paper, we present a method to acquire such patterns from raw data. Us- ing multi-output regression with structured sparsity, our method identifies a small subset of lexical items tha...

Ngày tải lên: 17/03/2014, 00:20

... develop a novel structured label propagation method for structured learning problems, such as machine translation. Note that, the structured label propagation can be applied to other structured ... training. The entire process starts with a decoder without consensus features. Then a graph is constructed out of all training, dev, and test data. The subsequent structured label...

Ngày tải lên: 23/03/2014, 14:20

... case, the relatively simple morphological construction of acronyms may be treated with a simple pattern matching with the corresponding text. Moreover, acronyms are widespread ambiguous forms ... etc. 50 such themes have currently been developed. They rely on precise filtering of dispatches with highlight- ing of sentences for fast reading. Exoseme is composed of several modules...

Ngày tải lên: 24/03/2014, 05:21