Pre Trained Transformer

method ID: pretrainedtransformer

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Chinese Discourse Parsing: Model and Evaluation

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Publication: TIPSTER (2020)

DOI: nan

AbstractChinese discourse parsing, which aims to identify the hierarchical relationships of Chinese elementary discourse units, has not yet a consistent evaluation metric. Although Parseval is commonly used, variations of evaluation …...

15722

A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

In this paper, we propose a novel edge-editing approach to extract relation information from a document. We treat the relations in a doc- ument as a relation graph among entities …...

33949

A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation

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DOI: nan

AbstractConditioned dialogue generation suffers from the scarcity of labeled responses. In this work, we exploit labeled non-dialogue text data related to the condition, which are much easier to collect. We …...

21469

MMTL: The Meta Multi-Task Learning for Aspect Category Sentiment Analysis

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Publication: TIPSTER (2021)

DOI: nan

AbstractAspect Category Sentiment Analysis (ACSA), which aims to identify fine-grained sentiment polarities of the aspect categories discussed in user reviews. ACSA is challenging and costly when conducting it into real-world …...

1057

Who Blames or Endorses Whom? Entity-to-Entity Directed Sentiment Extraction in News Text

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Publication: TIPSTER (2021)

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Understanding who blames or supports whom in news text is a critical research question in computational social science. Traditional methods and datasets for sentiment analysis are, however, not suitable for …...

33827

SLPL-Sentiment at SemEval-2022 Task 10: Making Use of Pre-Trained Model’s Attention Values in Structured Sentiment Analysis

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractSentiment analysis is a useful problem which could serve a variety of fields from business intelligence to social studies and even health studies. Using SemEval 2022 Task 10 formulation of …...

24986