[PDF] Top 20 Cross lingual Information Extraction System Evaluation

... in information extraction (IE) and its re- lated fields has led to a wide range of applications in many ...and extraction patterns (Yangarber, 2003), which require the user to pro- vide only a small ... See full document

... first system to autonomously ex- tract the missing infoboxes from the correspond- ing article texts by using a self-supervised learn- ing method (Wu and Weld, ...a cross-lingual knowledge ... See full document

... vast information resources are available in less-frequently-taught languages such as Swahili or ...end-to-end cross-lingual information retrieval (CLIR) and summarization system for ... See full document

... noisy information that may confuse RE sys- ...with cross-lingual at- tention, MNRE can identify the second and fourth sentences that unambiguously express the relation PlaceOfBirth with higher ... See full document

... Cross-Lingual and Zero-Shot Learning for Se- quence Labelling With the CLOpinionMiner, Zhou et al. (2015) present a method for cross- lingual opinion target extraction that relies on ... See full document

... Our cross-lingual structure transfer approach (see Figure 2) consists of four steps: (1) Convert each sentence in any language into a language-universal tree structure based on universal dependency pars- ... See full document

... Inspired by the recent success of neural models in machine translation (Kalchbrenner and Blun- som, 2013; Cho et al., 2014; Bahdanau et al., 2014), syntactic parsing (Vinyals et al., 2015; Choe and Charniak, 2016), and ... See full document

... overall system archi- tecture and the baseline ...extracting cross- lingual predicate ...using cross-lingual clusters to im- prove event ... See full document

... all information available for QA over knowledge ...to cross lin- gual resources, existing in well-known open domain KBs, can be exploited to overcome many translation errors and our experiences corroborate ... 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

... trigger extraction is an information ex- traction task of practical utility, yet it is chal- lenging due to the difficulty of disambiguating word sense ...a cross-lingual framework for ... See full document

... We find that the NYT-base model tends to copy heavily from the beginning of its input documents. Since it was trained entirely on clean English news articles, it is understandable that it tries to copy the lead sentence, ... See full document

... Results are compared with two pivoting ap- proaches, checking for entailment between the orig- inal English texts and the translated German hy- potheses. 4 The first (Pivot-EDITS), uses an op- timized distance-based ... See full document

... context-sensitive information such as the lan- guage model and reordering ...experimental evaluation of retrieval performance is done on Wikipedia cross-lingual arti- cle retrieval (Bai et ... See full document

... A widely used, although quite dated, system of concepts is Roget’s Thesaurus (Chapman, 1977). Its digitally avail- able third edition contains 990 semantic categories, each further partitioned along five ... See full document

... In order to evaluate projected parsers, any dif- ferences in the source and target annotations need to be consolidated. A straightforward way of doing so is by means of tree transformations. Naturally, this begs the ... See full document

... of cross-lingual POS tagger evaluation in absence of man- ually annotated test ...and system ranking, we reveal that these met- rics are reliable enough to approximate test set-based ... See full document

... lexicon extraction from parallel and comparable corpora, while the paper by Rapp et ...for cross language question answering applications by combining a number of different sources, namely, machine ... See full document

... using cross-lingual information fu- sion to improve the recall/precision of a large- scale multilingual event extraction ...mono- lingual systems could be refined, and a gain of 6,4% ... See full document

... By comparing BERT with other models we are not only comparing different architectures but dif- ferent techniques of training. The baseline model uses no additional information. The recurrent models use only a soft ... See full document