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[PDF] Top 20 Using Language Modeling to Select Useful Annotation Data

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Using Language Modeling to Select Useful Annotation Data

Using Language Modeling to Select Useful Annotation Data

... the language model would have to be learned from and applied to different corpora: it would be trained on the source corpus and used to compute probabilities for the instances in the target corpus that needs to be ... See full document

6

Natural Language Processing (Almost) from Scratch

Natural Language Processing (Almost) from Scratch

... induced useful word embeddings by applying our architecture to a language modeling task trained using a large amount of unlabeled text ...related language model ap- proach inspired from ... See full document

45

The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources

The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources

... surrogate data by asking workers on Amazon Mechanical Turk to imagine they were a user of an AAC device and having them invent things they might want to ...and useful AAC-like ... See full document

12

Last Words: Natural Language Processing and Linguistic Fieldwork

Last Words: Natural Language Processing and Linguistic Fieldwork

... the data collection work ...a language is spoken, to collect all the data we will ever have for this language, what will we do? I write this on the eve of a one-week visit to the Usarufa ... See full document

6

Fill the GAP: Exploiting BERT for Pronoun Resolution

Fill the GAP: Exploiting BERT for Pronoun Resolution

... without data augmen- ...redundancy; modeling inter- action effects similar to natural language infer- ence models is useful for this task; there is an optimal BERT layer to extract ... See full document

5

Using Similarity Measures to Select Pretraining Data for NER

Using Similarity Measures to Select Pretraining Data for NER

... source data and target task data on the effectiveness of pretrained word vectors for NER ...a useful supple- ment to the literature as a practitioners’ ...Pretrained Language Models Dai and Le ... See full document

11

Exploiting Arabic Diacritization for High Quality Automatic Annotation

Exploiting Arabic Diacritization for High Quality Automatic Annotation

... Arabic language corpora (Maamouri and Cieri, 2002; Maamouri et ...manual annotation and morphological features, which is a time-consuming pro- cess that requires lots of training for ...Linguistic ... See full document

7

Towards Semi Automatic Generation of Proposition Banks for Low Resource Languages

Towards Semi Automatic Generation of Proposition Banks for Low Resource Languages

... Step 1: Crowdsourced data curation. Previous work has experimented with different approaches in crowdsourcing to generate frame-semantic annota- tions over text (Hong and Baker, 2011), including selection tasks ... See full document

6

A modeling language for multi tenant data architecture evolution in cloud applications

A modeling language for multi tenant data architecture evolution in cloud applications

... When using the modeling environment of CadaML, developers design a multi- tenant data architecture in terms of tables and their ...di↵erent data partitioning patterns as configuration options ... See full document

164

Combining Semantic Annotation of Word Sense & Semantic Roles: A Novel Annotation Scheme for VerbNet Roles on German Language Data

Combining Semantic Annotation of Word Sense & Semantic Roles: A Novel Annotation Scheme for VerbNet Roles on German Language Data

... Such co-occurrences can be due to purely semantic reasons, in that one role implies the occurrence of another one, as in the following cases: 1) Experiencer – Stimulus: Both roles are special to perception predicates ... See full document

8

Investigation of annotator’s behaviour using eye tracking data

Investigation of annotator’s behaviour using eye tracking data

... during annotation and elicit useful information for NLP tasks requir- ing deeper linguistic ...gaze data has been widely used in various research fields, including psycholin- guistics and problem ... See full document

9

Noisy SMS Machine Translation in Low Density Languages

Noisy SMS Machine Translation in Low Density Languages

... the raw version, and the second from the clean. We can see that that Ilavach has been broken into two segments, while ki sou has been combined into one. Since we do not necessarily know in advance which segmentation is ... See full document

7

Dimensional Modeling Using Star Schema for Data Warehouse Creation

Dimensional Modeling Using Star Schema for Data Warehouse Creation

... lookup using customer address key explains the uniqueness of the record which results in fast and efficient indexed lookup within a ...ER modeling plays a pivotal role in the success of transaction ... See full document

10

Cross lingual Opinion Analysis via Negative Transfer Detection

Cross lingual Opinion Analysis via Negative Transfer Detection

... √ ( ) ( ) In TTL, m increases linearly, yet η is multi- plied in each iteration. This means the signifi- cance of m to performance is higher at the begin- ning of transfer learning and gradually slows down in later ... See full document

6

Part of Speech Annotation of English Assamese code mixed texts: Two Approaches

Part of Speech Annotation of English Assamese code mixed texts: Two Approaches

... code-mixed data performs the ...of data that was used for training. However, with similar amount of data, the other 2 classifiers performed comparatively ...code-mixed data and thus ... See full document

10

Dual Supervised Learning for Natural Language Understanding and Generation

Dual Supervised Learning for Natural Language Understanding and Generation

... estimate data distri- bution, the data properties should be considered, because different data types have different struc- tural ...natural language has sequential structures and temporal ... See full document

6

Bidirectional Data Import to Hive Using SQOOP

Bidirectional Data Import to Hive Using SQOOP

... of data in one Hadoop cluster, you can configure the Hadoop cluster to be one unit of a larger system, connecting it to other systems of Hadoop clusters or even connecting it to the cloud for broader interactions ... See full document

6

A Framework for Evaluating Model-driven Architecture

A Framework for Evaluating Model-driven Architecture

... Abstract: In the last few years, Model Driven Development (MDD) has become an interesting alternative for designing the self-adaptive software systems. In general, the ultimate goal of this technology is to be able to ... See full document

13

Adaptation of games as a teaching aid in grammar classroom

Adaptation of games as a teaching aid in grammar classroom

... see language games as time-consuming, they have a special role in any foreign language teaching program because they facilitate foreign language learning, especially for young ...communicative ... See full document

5

Hindi Language Interface to Database Using Semantic Matching

Hindi Language Interface to Database Using Semantic Matching

... local language so that user can easily use that system without the knowledge of English ...Natural language Interface to ...natural language like English, Hindi, Telgu, ...(DB) using natural ... See full document

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