[PDF] Top 20 Distributed Word Representations Improve NER for e Commerce
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Distributed Word Representations Improve NER for e Commerce
... an NER task) distributed word representations based on unstructured e-commerce item title ...The word representations that we train on a rel- atively small amount ... See full document
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Is “Universal Syntax” Universally Useful for Learning Distributed Word Representations?
... The main aim of the “universal initiative” is to facilitate cross-lingual and multilingual learn- ing (e.g., multilingual parser development, typolo- gies) by capturing structural similarities across languages and by ... See full document
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Cross Lingual Syntactically Informed Distributed Word Representations
... cross-lingual word vector space (SCLVS), which leads to improvements on monolingual tasks (typ- ically word similarity) (Faruqui and Dyer, 2014; Rastogi et ...(DEPS) word vector spaces in monolingual ... See full document
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Improving Twitter Named Entity Recognition using Word Representations
... generating word rep- resentations from large amount of unla- beled newswire data and ...from word representations significantly improve Twitter NER perfor- ... See full document
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Polyglot: Distributed Word Representations for Multilingual NLP
... to improve the performance of NLP ap- plications. Word clustering has been used to learn classes of words that have similar semantic fea- tures to improve language modeling (Brown et ...unilaterally ... See full document
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Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network
... as word segmen- tation, named entity recognition and part-of-speech tagging can be formalized as a tagging task (Zhao et ...use distributed representation of words to involve word level infor- ... See full document
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Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation
... These improve- ments over the Baseline method demonstrate that the induced latent features do alleviate feature sparsity issue across the two domains and help the trained NLP system generalize well in the target ... See full document
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Evaluating distributed word representations for capturing semantics of biomedical concepts
... vector representations of words using huge corpus in unsupervised man- ...Such word vector representations, also known as word embedding, have been shown to improve the performance of ... See full document
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Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
... where word boundaries are not readily identified in text, word segmentation is a key first step to generating features for an NER ...using word boundary tags as features are helpful, the ... See full document
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Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation
... presents a method for text simplification using phrase based machine translation with re-ranking the outputs. Kauchak (2013) proposes a text sim- plification corpus, and evaluates language model- ing for text ... See full document
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A Walk Based Semantically Enriched Tree Kernel Over Distributed Word Representations
... Table 3: Results on MSR Paraphrase corpus On the MSR paraphrase corpus, VTK performs competitively against state-of-the-art-methods. We expected paraphrasing to be challenging to our method, since it can involve little ... See full document
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Multimedia Lab @ ACL WNUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations
... The model was trained in two phases. First, the look-up table containing per-word feature vec- tors was constructed. To that end, we applied the word2vec software (v0.1c) of Mikolov et al. (2013) on our ... See full document
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Spanish NER with Word Representations and Conditional Random Fields
... Word Representations work better the more data they are ...Cross-lingual Word Representations have been shown to improve sev- eral NLP tasks, such as model learning(Bhattarai, 2013; Yu ... See full document
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A Computational Study on Word Meanings and Their Distributed Representations via Polymodal Embedding
... A distributed representation has become a popular approach to capturing a word ...true word meaning and its distributed ...a word mean- ...of word meanings which can be sig- ... See full document
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Contextualized Word Representations from Distant Supervision with and for NER
... We use a model (Figure 1) composed of a multi- layer bidirectional encoder that produces hidden states for each token in the input sequence. At the output layer, the last hidden states are fed into a softmax layer for ... See full document
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Co learning of Word Representations and Morpheme Representations
... The word similarity task was tested on five evaluation sets: WS353 (Finkelstein et ...The word distributions of these datasets are shown in Figure 3, from which we can see that RW contains the largest ... See full document
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The Impact of ICT on Public and Private Sectors in Lithuania
... of e-Government ...of e-Government projects is crucial for the successful operation of e-Government ...of e- Government projects (modernization of public administration) are and will be very ... See full document
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Unsupervised Topic Modeling for Short Texts Using Distributed Representations of Words
... over distributed representations of ...dense distributed representations of words using Gaussian mixture models (GMMs) whose components capture the notion of latent ...use word co- ... See full document
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Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
... Statistical machine learning methods are em- ployed to train a Named Entity Recognizer from annotated data. Methods like Maxi- mum Entropy and Conditional Random Fields make use of features for the training purpose. ... See full document
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Improving NER for Clinical Texts by Ensemble Approach using Segment Representations
... that word is the first word of a NE of class ...multiple word NEs and nested ...first word of each NE (Ratna- parkhi, ...tag E to the last token of NEs (Kudo and Matsumoto, ...and ... See full document
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