Контекстуалданған Енгізу

material ID: contextualizedembedding

Related Papers

Yimmon at SemEval-2019 Task 9: Suggestion Mining with Hybrid Augmented Approaches

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractSuggestion mining task aims to extract tips, advice, and recommendations from unstructured text. The task includes many challenges, such as class imbalance, figurative expressions, context dependency, and long and complex …...

25432

DirectProbe: Studying Representations without Classifiers

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractUnderstanding how linguistic structure is encoded in contextualized embedding could help explain their impressive performance across NLP. Existing approaches for probing them usually call for training classifiers and use the …...

21424

Event Time Extraction and Propagation via Graph Attention Networks

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractGrounding events into a precise timeline is important for natural language understanding but has received limited attention in recent work. This problem is challenging due to the inherent ambiguity of …...

21866

Contextualized embeddings for semantic change detection: Lessons learned

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWe present a qualitative analysis of the (potentially erroneous) outputs of contextualized embedding-based methods for detecting diachronic semantic change. First, we introduce an ensemble method outperforming previously described contextualized approaches. …...

18300

Effect of Post-processing on Contextualized Word Representations

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractPost-processing of static embedding has been shown to improve their performance on both lexical and sequence-level tasks. However, post-processing for contextualized embeddings is an under-studied problem. In this work, we …...

4945