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Related Papers

Japanese Sentiment Classification with Stacked Denoising Auto-Encoder using Distributed Word Representation

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

Traditional sentiment classification methods often require polarity dictionaries or crafted features to utilize machine learning. How- ever, those approaches incur high costs in the making of dictionaries and/or features, which …...

19220

Investigating Language Universal and Specific Properties in Word Embeddings

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

Recently, many NLP tasks have benefit- ed from distributed word representation. However, it remains unknown whether embedding models are really immune to the typological diversity of languages, despite the language-independent …...

40375

Semantic Tagging with Deep Residual Networks

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractWe propose a novel semantic tagging task, semtagging, tailored for the purpose of multilingual semantic parsing, and present the first tagger using deep residual networks (ResNets). Our tagger uses both …...

3673

Learning to Generate Word Representations using Subword Information

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractDistributed representations of words play a major role in the field of natural language processing by encoding semantic and syntactic information of words. However, most existing works on learning word …...

5301

Subword-augmented Embedding for Cloze Reading Comprehension

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractRepresentation learning is the foundation of machine reading comprehension. In state-of-the-art models, deep learning methods broadly use word and character level representations. However, character is not naturally the minimal linguistic …...

5365

Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractWe propose a simple yet effective approach for improving Korean word representations using additional linguistic annotation (i.e. Hanja). We employ cross-lingual transfer learning in training word representations by leveraging the …...

9156

NL-FIIT at SemEval-2019 Task 9: Neural Model Ensemble for Suggestion Mining

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractIn this paper, we present neural model architecture submitted to the SemEval-2019 Task 9 competition: “Suggestion Mining from Online Reviews and Forums”. We participated in both subtasks for domain specific …...

25458

Syntax-aware Multilingual Semantic Role Labeling

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractRecently, semantic role labeling (SRL) has earned a series of success with even higher performance improvements, which can be mainly attributed to syntactic integration and enhanced word representation. However, most …...

8976

Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractIn this paper, we study how word-like units are represented and activated in a recurrent neural model of visually grounded speech. The model used in our experiments is trained to …...

41717