UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures

2016-06-01 · SEMEVAL 2016 6 · Timothy Baldwin, HuiZhi Liang, Bahar Salehi, Doris Hoogeveen, Yitong Li, Long Duong

Code (0)

등록된 구현이 없습니다.

Tasks

Community Question Answering Machine Translation Natural Language Inference Question Answering Semantic Textual SimilarityWord Embeddings

UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment Classification

2016-06-01 · SEMEVAL 2016 6 · Steven Xu, HuiZhi Liang, Timothy Baldwin

Document Classification Language Modeling Language Modelling Question Answering+3

Talla at SemEval-2017 Task 3: Identifying Similar Questions Through Paraphrase Detection

2017-08-01 · SEMEVAL 2017 8 · Byron Galbraith, Bhanu Pratap, Daniel Shank

This paper describes our approach to the SemEval-2017 shared task of determining question-question similarity in a community question-answering setting (Task 3B). We extracted both syntactic and semantic similarity featu…

Community Question Answering General Classification Information Retrieval Question Answering+3

UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing

2018-06-01 · SEMEVAL 2018 6 · Anirudh Joshi, Tim Baldwin, Richard O. Sinnott, Cecile Paris

This paper describes a warrant classification system for SemEval 2018 Task 12, that attempts to learn semantic representations of reasons, claims and warrants. The system consists of 3 stacked LSTMs: one for the reason, …

General Classification Multi-Task Learning Semantic Similarity Semantic Textual Similarity+1

UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution

2019-06-01 · SEMEVAL 2019 6 · Haonan Li, Minghan Wang, Timothy Baldwin, Martin Tomko 외

This paper describes our submission to SemEval-2019 Task 12 on toponym resolution over scientific articles. We train separate NER models for toponym detection over text extracted from tables vs. text from the body of the…

Articles NER Toponym Resolution

UniMelb\_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity

2013-06-01 · SEMEVAL 2013 6 · Sp Gella, ana, Bahar Salehi, Marco Lui 외

Information Retrieval Machine Translation Question Answering Semantic Textual Similarity+1