Báo cáo khoa học: "Exploiting Morphology in Turkish Named Entity Recognition System" pptx

... morphological information is not helpful in NER tasks. Morphemes in Turkish words are giving the necessary syntactic meaning to the word which may not be useful in named entity finding. Another ... Proceedings of the ACL-HLT 2011 Student Session, pages 105–110, Portland, OR, USA 19-24 June 2011. c 2011 Association for Computational Linguistics Exploiting Morphology in Turkish...

Ngày tải lên: 30/03/2014, 21:20

... generally organized as pipelines, using dedicated APIs and different taxonomy for extracting, classifying and disambiguating named entities. Integrating one of these services in a particular application ... France raphael.troncy@eurecom.fr Abstract Named Entity Extraction is a mature task in the NLP field that has yielded numerous services gaining popularity in the Seman- tic Web c...

Ngày tải lên: 08/03/2014, 21:20

... texts: large corpora become rich hunting grounds for investors in linguistic ob- jets trouvés. This proposal is demonstrated in computa- tional form in the following sections. We show how a rich ... ADJ 1 and ADJ 2 to be mutu- ally reinforcing properties, since they can be seen to work together as a single complex property in a single comparison. Thus, using the full comple- ment of...

Ngày tải lên: 20/02/2014, 05:20

... done in NLP research (section 3). We then explain why implementing morphology in the context of ma- chine translation (MT) is a real challenge and what kind of aspects need to be taken into ... im- plementation. In the project presented in this pa- per, we propose to implement lexical morphol- ogy phenomena in MT. 3 Related work Implementing lexical morphology in a MT con...

Ngày tải lên: 22/02/2014, 02:20

... training and testing tasks. Fur- thermore, this assumption leads us to faster train- ing in the inducing procedure because we can only consider additional trigger features. Now, we start the inducing ... to exploit non-local information in the next section. 3 Incorporating Non-local Information 3.1 Using Trigger Features To exploit non-local information to sequential la- beling for a stat...

Ngày tải lên: 20/02/2014, 12:20

... pointed out in (Gardent et al., 1996), is that a HOU algorithm can take world know- ledge into account, which is sometimes necessary for determining contrast. For instance, the contrast in ... knowledge that kicking the ball into the wrong goal implies scoring a goal for the opposing team. In a HOU approach, the contrast in this example might be predicted by unifying the represe...

Ngày tải lên: 22/02/2014, 03:20

... training examples were a combination of the labeled and unlabeled data. In their studies, 57 Collins and Singer compared several learning models using this style of semi-supervised training. ... degradation in accuracy on unfamiliar test cases is low, suggesting that the trained classifier generalizes well. 1 Introduction Named entity (NE) tagging is the task of recogniz- ing an...

Ngày tải lên: 20/02/2014, 15:20

... demonstrates intuitive support for tagging user-defined NE types. The differences of this approach from the co-training-based NE bootstrapping are also discussed. 1 Introduction Named Entity (NE) ... constructed in section 4. During the training, each sample string sequence is regarded as an independent sentence. The training process is similar to (Bikel 1997). The HMM is defi...

Ngày tải lên: 20/02/2014, 16:20

... repeating patterns in the data which are used to focus the training process by as- signing weights to features corresponding to the ob- served patterns. Finally, a linear model is trained us- ing ... pairing a NE in the source language with its counterpart in the tar- get language is then used. Negative training samples are generated by reshuffling the terms in these pairs. Once the tr...

Ngày tải lên: 31/03/2014, 00:20

... generalisations here. The main challenge in this reduction is finding a way of expressing the non-linguistic information as part of the strings that serve as the grammatical in- ference procedure’s input. Here ... child is looking at child.hands objects child is touching mom.eyes objects care-giver is looking at mom.hands objects care-giver is touching mom.point objects care-giver is point...

Ngày tải lên: 19/02/2014, 19:20