FBK-HLT-NLP at SemEval-2016 Task 2: A Multitask, Deep Learning Approach for Interpretable Semantic Textual Similarity
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Image CaptioningSemantic Textual SimilarityTask 2Similar Papers 제목 키워드 기반
SemEval-2016 Task 2: Interpretable Semantic Textual Similarity
2016-06-01 · SEMEVAL 2016 6
· Eneko Agirre, Aitor Gonzalez-Agirre, I{\~n}igo Lopez-Gazpio, Montse Maritxalar 외
Image CaptioningSemantic Textual SimilarityTask 2
UWB at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity with Distributional Semantics for Chunks
2016-06-01 · SEMEVAL 2016 6
· Miloslav Konop{\'\i}k, Ond{\v{r}}ej Pra{\v{z}}{\'a}k, David Steinberger, Tom{\'a}{\v{s}} Brychc{\'\i}n
Semantic Textual SimilarityTask 2Word Alignment
Inspire at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity Alignment based on Answer Set Programming
2016-06-01 · SEMEVAL 2016 6
· Mishal Kazmi, Peter Sch{\"u}ller
ChunkingSemantic Textual SimilarityTask 2
Learning Semantic Textual Similarity from Conversations
2018-04-20 · WS 2018 7
· Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-yi Kong 외
We present a novel approach to learn representations for sentence-level semantic similarity using conversational data. Our method trains an unsupervised model to predict conversational input-response pairs. The resulting…
Community Question AnsweringNatural Language InferenceQuestion AnsweringQuestion Similarity+6Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies
2020-04-30
· Maryam Aminian, Mohammad Sadegh Rasooli, Mona Diab
We describe a method for developing broad-coverage semantic dependency parsers for languages for which no semantically annotated resource is available. We leverage a multitask learning framework coupled with an annotatio…
Cross-Lingual Transfer