LSTM Model

method ID: lstmmodel

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Improving Japanese semantic-role-labeling performance with transfer learning as case for limited resources of tagged corpora on aggregated language

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

In this paper we proposed the use of effective features and transfer leaning to improve the accuracies of neural-network-based models for accurate semantic role labeling (SRL) of Japanese, which is …...

18712

Lyb3b at SemEval-2018 Task 11: Machine Comprehension Task using Deep Learning Models

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DOI: nan

AbstractMachine Comprehension of text is a typical Natural Language Processing task which remains an elusive challenge. This paper is to solve the task 11 of SemEval-2018, Machine Comprehension using Commonsense …...

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Lyb3b at SemEval-2018 Task 12: Ensemble-based Deep Learning Models for Argument Reasoning Comprehension Task

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Publication: TIPSTER (2018)

DOI: nan

AbstractReasoning is a crucial part of natural language argumentation. In order to comprehend an argument, we have to reconstruct and analyze its reasoning. In this task, given a natural language …...

25933

Whodunnit? Crime Drama as a Case for Natural Language Understanding

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Publication: TIPSTER (2018)

DOI: nan

AbstractIn this paper we argue that crime drama exemplified in television programs such as CSI: Crime Scene Investigation is an ideal testbed for approximating real-world natural language understanding and the …...

27253

Overestimation of Syntactic Representation in Neural Language Models

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Publication: TIPSTER (2020)

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AbstractWith the advent of powerful neural language models over the last few years, research attention has increasingly focused on what aspects of language they represent that make them so successful. …...

38121

Which Model Should We Use for a Real-World Conversational Dialogue System? a Cross-Language Relevance Model or a Deep Neural Net?

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe compare two models for corpus-based selection of dialogue responses: one based on cross-language relevance with a cross-language LSTM model. Each model is tested on multiple corpora, collected from two …...

15834

You May Like This Hotel Because ...: Identifying Evidence for Explainable Recommendations

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractExplainable recommendation is a good way to improve user satisfaction. However, explainable recommendation in dialogue is challenging since it has to handle natural language as both input and output. To …...

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