Supervised Distributional Hypernym Discovery via Domain Adaptation

2016-11-01 · EMNLP 2016 11 · Luis Espinosa-Anke, Jose Camacho-Collados, Claudio Delli Bovi, Horacio Saggion

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Tasks

ClusteringDomain Adaptation Hypernym Discovery Information Retrieval Knowledge Graphs Natural Language Inference Open Information Extraction Question Answering Word Sense Disambiguation

EXPR at SemEval-2018 Task 9: A Combined Approach for Hypernym Discovery

2018-06-01 · SEMEVAL 2018 6 · Ahmad Issa Alaa Aldine, Mounira Harzallah, Giuseppe Berio, Nicolas B{\'e}chet 외

In this paper, we present our proposed system (EXPR) to participate in the hypernym discovery task of SemEval 2018. The task addresses the challenge of discovering hypernym relations from a text corpus. Our proposal is a…

Hypernym Discovery Information Retrieval Machine Translation Question Answering

The Effectiveness of Simple Hybrid Systems for Hypernym Discovery

2019-07-01 · ACL 2019 7 · William Held, Nizar Habash

Hypernymy modeling has largely been separated according to two paradigms, pattern-based methods and distributional methods. However, recent works utilizing a mix of these strategies have yielded state-of-the-art results.…

Hypernym Discovery

Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection

2017-10-02 · NAACL 2018 6 · Haw-Shiuan Chang, ZiYun Wang, Luke Vilnis, Andrew McCallum

Modeling hypernymy, such as poodle is-a dog, is an important generalization aid to many NLP tasks, such as entailment, coreference, relation extraction, and question answering. Supervised learning from labeled hypernym s…

Hypernym Discovery Question Answering Relation Extraction

BabelDomains: Large-Scale Domain Labeling of Lexical Resources

2017-04-01 · EACL 2017 4 · Jose Camacho-Collados, Roberto Navigli

In this paper we present BabelDomains, a unified resource which provides lexical items with information about domains of knowledge. We propose an automatic method that uses knowledge from various lexical resources, explo…

Clustering Domain Adaptation Hypernym Discovery Sentiment Analysis+2

ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora

2018-06-01 · SEMEVAL 2018 6 · Alfredo Maldonado, Filip Klubi{\v{c}}ka

This paper describes a simple but competitive unsupervised system for hypernym discovery. The system uses skip-gram word embeddings with negative sampling, trained on specialised corpora. Candidate hypernyms for an input…

Hypernym Discovery Word Embeddings