Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction

2013-08-01 · ACL 2013 8 · Barbara Plank, Aless Moschitti, ro

Code (0)

등록된 구현이 없습니다.

Tasks

Dependency Parsing Domain AdaptationRelationRelation Extraction Semantic Similarity Semantic Textual Similarity Transfer Learning

Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information

2017-08-01 · CONLL 2017 8 · Massimo Nicosia, Aless Moschitti, ro

Tree kernels (TKs) and neural networks are two effective approaches for automatic feature engineering. In this paper, we combine them by modeling context word similarity in semantic TKs. This way, the latter can operate …

Feature Engineering Question Answering Relation Extraction Semantic Similarity+5

Sentence Similarity based on Dependency Tree Kernels for Multi-document Summarization

2016-05-01 · LREC 2016 5 · {\c{S}}aziye Bet{\"u}l {\"O}zate{\c{s}}, Arzucan {\"O}zg{\"u}r, Dragomir Radev

We introduce an approach based on using the dependency grammar representations of sentences to compute sentence similarity for extractive multi-document summarization. We adapt and investigate the effects of two untyped …

Document Summarization Multi-Document Summarization Relation Extraction Sentence+1

Automated essay scoring with string kernels and word embeddings

2018-04-21 · ACL 2018 7 · Mădălina Cozma, Andrei M. Butnaru, Radu Tudor Ionescu

In this work, we present an approach based on combining string kernels and word embeddings for automatic essay scoring. String kernels capture the similarity among strings based on counting common character n-grams, whic…

Automated Essay Scoring Dialect Identification General Classification Language Identification+4

Unsupervised Sentence Textual Similarity with Compositional Phrase Semantics

2022-10-05 · COLING 2022 10 · ZiHao Wang, Jiaheng Dou, Yong Zhang

Measuring Sentence Textual Similarity (STS) is a classic task that can be applied to many downstream NLP applications such as text generation and retrieval. In this paper, we focus on unsupervised STS that works on vario…

Retrieval Sentence Sentence Embeddings STS+1

Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels

2021-06-08 · Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka

Graph is an usual representation of relational data, which are ubiquitous in manydomains such as molecules, biological and social networks. A popular approach to learningwith graph structured data is to make use of graph…

Graph Classification