multi-lingual
Conceptual text representation for multi lingual generation and translation
... This paper presents some ideas and preliminary results o f a project aim ed a t autom atic generation and translation o f text horn conceptual (interlingual) representations. In the first part we give some argum ents for ...
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Adversarial Multi lingual Neural Relation Extraction
... for multi-feature fusion. Park and Im (2016) propose a multi-modal representation learning model based on adversarial ...a multi-task learning model for text classification by extending the original ...
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Supporting young children in multi lingual settings
... This extract is taken from the fieldnotes of an ethnographic study set within a reception class of an inner city school, Sunnyside, in the North of England where the majority of pupils are from North and Sub-Saharan ...
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Multi task and Multi lingual Joint Learning of Neural Lexical Utterance Classification based on Partially shared Modeling
... addition, multi-task and multi-lingual joint learning outperformed multi- task joint learning and multi-lingual joint ...of multi-task and multi-lingual ...
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The SUMMA Platform: A Scalable Infrastructure for Multi lingual Multi media Monitoring
... cross- lingual multi-document summarization of related media items, and last but not least, extraction and storage of factual claims in these news ...
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A Multi lingual Multi task Architecture for Low resource Sequence Labeling
... When we use supervised learning to solve Natu- ral Language Processing (NLP) problems, we typ- ically train an individual model for each task with task-specific labeled data. However, our target task may be intrinsically ...
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Phylogenic Multi Lingual Dependency Parsing
... Table 1 reports parsing results for languages that have a training set. Note that a few languages do not have a separate developpement set, then we used the training set for both training and valida- tion. The training ...
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Aggression Identification and Multi Lingual Word Embeddings
... the multi language condition, the fastText embeddings for English and Hindi were aligned after being loaded, making our embedding matrix consistent for both ...
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MMQA: A Multi domain Multi lingual Question Answering Framework for English and Hindi
... In this paper, we propose a new multilingual QA dataset: MMQA. The dataset has wide coverage of various entities as the answer. It can be used to build a monolingual (EN: English, HI: Hindi), cross-lingual (EN → ...
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The CAMOMILE Collaborative Annotation Platform for Multi modal, Multi lingual and Multi media Documents
... Web. Multi- modal, multimedia, multilingual (3M) data can be collected and explored to gain new insights in social sciences, lin- guistics, economics, behavioural studies as well as artifi- cial intelligence and ...
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OntoSem and SIMPLE: Two multi lingual world views
... a multi- lingual text processing environment that takes as input unrestricted text and, using a suite of static resources and processors, automatically creates text-meaning representations (TMRs) which can ...
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PAWS: A Multi lingual Parallel Treebank with Anaphoric Relations
... in multi- lingual approaches to both theoretical and compu- tational ...a multi-lingual parallel treebank annotated with full-fledged coreference ...
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Enhancing Multi lingual Information Extraction via Cross Media Inference and Fusion
... The video concept extraction system was developed by IBM for the TREC Video Retrieval Evaluation (TRECVID-2005) (Naphade et al., 2005). This system can extract 2617 concepts defined by TRECVID, such as ...
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Neural Relation Extraction with Multi lingual Attention
... a multi-lingual neural relation ex- traction framework, which employs mono- lingual attention to utilize the information within mono-lingual texts and further pro- poses cross-lingual ...
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A Multi Document Multi Lingual Automatic Summarization System
... new multi- document multi-lingual text summarization technique, based on singular value decom- position and hierarchical clustering, is pro- ...
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Aligning Cross Lingual Entities with Multi Aspect Information
... Recently, Bidirectional Encoder Representa- tions from Transformer (BERT) (Devlin et al., 2019) has advanced the state-of-the-art in vari- ous NLP tasks by heavily exploiting pretraining based on language modeling. Of ...
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How to construct a multi-lingual domain ontology
... since many of the domain’s concepts consisted of more than one word, we concentrated on collocation (sequences of words that occur frequently), hoping that they will help us identify relevant multi-word ...
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Multi lingual and Cross genre Discourse Unit Segmentation
... pora). More recently, the 2015 and 2016 CoNLL shared tasks, following the PDTB framework, sparked interest for the task of shallow discourse parsing, with Wang and Lan (2015) and Oepen et al. (2016) as winning systems, ...
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Multi lingual neural title generation for e Commerce browse pages
... To provide better access of the inventory to buyers and better search engine optimization, e-Commerce websites are automatically gen- erating millions of easily searchable browse pages. A browse page groups multiple ...
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An API for Multi-lingual Ontology Matching
... Most of the matching systems apply some kind of string- based method. Despite the fact that these methods can be not ideal for matching ontologies written in different lan- guages, they can be seen as a starting point ...
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