paper-with-me

홈 › Papers

The Impact of Selectional Preference Agreement on Semantic Relational Similarity

2013-03-01 · WS 2013 3 · Bryan Rink, S Harabagiu, a
📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

Transfer Learning

Similar Papers 제목 키워드 기반

Modeling selectional restrictions in a relational type system

2016-07-28 · Erkki Luuk

Selectional restrictions are semantic constraints on forming certain complex types in natural language. The paper gives an overview of modeling selectional restrictions in a relational type system with morphological and …

Vocal Bursts Type Prediction

Multiplex Word Embeddings for Selectional Preference Acquisition

2020-01-09 · IJCNLP 2019 11 · Hongming Zhang, Jiaxin Bai, Yan Song, Kun Xu 외

Conventional word embeddings represent words with fixed vectors, which are usually trained based on co-occurrence patterns among words. In doing so, however, the power of such representations is limited, where the same w…

Word EmbeddingsWord Similarity

Improving Statistical Machine Translation with Selectional Preferences

2016-12-01 · COLING 2016 12 · Haiqing Tang, Deyi Xiong, Min Zhang, ZhengXian Gong

Long-distance semantic dependencies are crucial for lexical choice in statistical machine translation. In this paper, we study semantic dependencies between verbs and their arguments by modeling selectional preferences i…

Machine TranslationSemantic Role LabelingTranslationWord Sense Disambiguation

Concept-based Selectional Preferences and Distributional Representations from Wikipedia Articles

2012-05-01 · LREC 2012 5 · Alex Judea, Vivi Nastase, Michael Strube

This paper describes the derivation of distributional semantic representations for open class words relative to a concept inventory, and of concepts relative to open class words through grammatical relations extracted fr…

ArticlesSemantic Role LabelingTopic ModelsWord Sense Disambiguation

ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities

2021-04-05 · Hongming Zhang, Xin Liu, Haojie Pan, Haowen Ke 외

Commonsense knowledge acquisition and reasoning have long been a core artificial intelligence problem. However, in the past, there has been a lack of scalable methods to collect commonsense knowledge. In this paper, we p…

Discourse Parsing