[PDF] Top 20 A Sequence Model Approach to Relation Extraction in Portuguese

... It is difficult to make a comparison with other works for English, since the languages and data sets are dif- ferent (Abreu et al., 2013). In Table 8 we show the results achieved in other open RE systems for English ... See full document

... tion Extraction in English, which have been presented in the previous ...for Relation Extraction in ...approaching Relation Extraction in Portuguese that are available in the ... See full document

... semantic relation extraction is a task for which existing systems still don’t have high performance (Girju et ...the Portuguese language, the situation is even more dire, with few studies done about ... See full document

... to relation ex- traction (GuoDong et ...proposed relation extraction in the paradigm of distant su- ...this approach, given a database of facts ... See full document

... Each relation extraction instance consists of a sentence containing a question entity ...the relation of interest. The standard approach is to learn a binary classifier (possibly as part of a ... See full document

... the relation top- ics for a relation detector. We map relation instances in the new domains to the relation topic space, re- sulting in a set of new features characterizing the relationship ... See full document

... network model for simultaneous sentence-level extraction of related ...Our model exploits target and context pair-specific representations and creates pair rep- resentations that encode up-to ... See full document

... Settings We use Freebase as our knowledge base. It can be freely downloaded 1 . text corpus used con- tains 33 million English news articles that we down- loaded between January 2004 and December 2011. A random sample of ... See full document

... the Portuguese available at P RE T EX T [76], together with the conjugations of the verb TO BE as well as the words composed of only one ...the sequence, they applied statistical measures, as follow: for ... See full document

... our model against all 41 relations and thus replicated the actual KBP ...our model consistently outperforms all six algorithms at almost all recall levels and im- proves the maximum F -score by more than ... See full document

... this model yields substantially better results on encyclopedia relation extraction over the current state-of-the-art probabilistic rela- tion extraction model, such as Conditional ... See full document

... ery approach (Li et ...relation extraction. Using PCNN+ATT (Lin et al., 2016) as base model, they show that ad- versarial training can improve its performance by a good ...base model ... See full document

... for relation extraction, we concentrate on the supervised systems in this ...(DS) approach for relation extraction. This approach is essentially sim- ilar to the traditional ... See full document

... for Relation Extraction (RE), aim- ing at a dual goal: obtaining an applicative evaluation scheme for paraphrase acquisi- tion and obtaining a generic and largely unsupervised configuration for ...our ... See full document

... the Portuguese and other Romanic Languages, linguistic rule-based systems should provide a good coverage of the association between letters and sounds ...This approach to G2P conversion is based on the idea ... See full document

... The grapheme to phone(me) conversion (G2P), also called letter-to-sound conversion, maps a written text into a string of symbols which represent the speech sounds exactly and unequivocally. Several frameworks have been ... See full document

... event extraction/semantic role labeling models induced from other training corpora [10–13] and then transform these structures to BEL ...CNN model from training cor- pus but complex relations and biomedical ... See full document

... For the Argument Span Extraction of explicit relations the search space is limited to a single sentence; thus, all multi sentence arguments are missed. This constraint has a little effect on Argu- ment 2 spans. ... See full document

... Their model utilized character embeddings to create a hierarchical LSTM model with cor- pus entities attributes as input into the embed- ding layer of their neural ... See full document

... Relation Extraction is the task of identifying entity mention spans in raw text and then iden- tifying relations between pairs of the entity ...cannot model overlapping entity mentions and have ... See full document