[PDF] Top 20 Cross lingual Structure Transfer for Relation and Event Extraction

... novel cross-lingual struc- ture transfer learning framework to project source language (SL) training data and target language (TL) test data into the common semantic space, so that we can train a ... See full document

... on event extraction, we chose a subset of the ERE (Entity, Relation, Event) corpus (Song et ...annotated event mentions of 40 types. We selected the top-6 most popular event ... See full document

... tant event attributes are not expressed by explicit textual ...protest event, the system identifies two additional implicit attributes that derive from social movement theo- ries (Della Porta and Diani, ... See full document

... Information Extraction (IE) is to construct “Information Networks” (Li et ...a relation. We pro- pose a novel task to construct a new layer of event- centric Information Networks across multiple doc- ... See full document

... Relation extraction (RE) seeks to detect and classify semantic relationships between enti- ties, which provides useful information for many NLP ...to transfer an RE model of a resource-rich language ... See full document

... Zhengzhong Liu, Teruko Mitamura, and Eduard Hovy. 2015. Evaluation algorithms for event nugget detec- tion: A pilot study. In Proceedings of the 3rd Work- shop on EVENTS at the NAACL-HLT, pages 53–57. Di Lu, ... See full document

... The processing methods of texts and images/videos are typically organized into two separate pipelines. Each pipeline has been studied separately and quite intensively over the past decade. It is critical to move away ... See full document

... In Unstructured Information Management Architec- ture (UIMA) (Ferrucci and Lally, 2004) interoper- ability is provided by platform independent data rep- resentations and interfaces. Information is repre- sented in the ... See full document

... main relation extraction system, and Verga et ...multi-lingual relation extraction. Both the works focus on multi-lingual transfer learning and learn a predictive model on ... See full document

... We explore ways of identifying terms from monolingual texts and integrate them into investigating the contribution of terminology to translation quality.The researchers proposed a supervised learning method using common ... See full document

... trigger extraction is an information ex- traction task of practical utility, yet it is chal- lenging due to the difficulty of disambiguating word sense ...language transfer using BERT for event ... See full document

... a cross-lingual knowledge extraction framework, which leverags rich knowl- edge in the other language to improve extraction performance in the target ... See full document

... of extraction patterns used in the Italian, Spanish and Portuguese system varies from 100 to circa 400, whereas the English, French and Russian system deploy thousands of extraction patterns, mainly re- ... See full document

... work, the MRP data is not very well suited for training and testing new systems modeling IS- TERE. Indeed, almost all inter-sentence pairs of time/event contain members that (i) are corefer- ence of either the ... See full document

... Tseng et al. (2014) describe an open RE for Chi- nese that employs word segmentation, POS-tagging, dependency parsing. Lewis and Steedman (2013) learn clusters of semantically equivalent relations across French and ... See full document

... Our work has made use of dictionaries that are automatically extracted from bilingual corpora. An alternative approach would be to use hand-crafted translation lexicons, for example, PanLex (Bald- win et al., 2010) (e.g. ... See full document

... We show that it is possible to reliably dis- criminate whether a syntactic construction is meant literally or metaphorically using lexical semantic features of the words that participate in the construction. Our model is ... See full document

... Our transfer language rankers are trained on a few languages for the particular ...exhaustive transfer experiments on a new task or set of languages will not always be ...choosing transfer lan- ... See full document

... extensive experiments on two standard datasets, using English, Chinese, and Spanish as experi- mental languages respectively. The experimen- tal results demonstrate that: 1) our model can perform ... See full document

... The association of NE classes in the matched pat- terns and slots in the template is made automati- cally; Person, Organization, Post (slots) correspond to C-PERSON, C-ORG, C-POST (NE-classes), re- spectively, in the ... See full document