SemEval-2017 Task 3: Community Question Answering
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Abstract (arXiv)
We describe SemEval-2017 Task 3 on Community Question Answering. This year, we reran the four subtasks from SemEval-2016:(A) Question-Comment Similarity,(B) Question-Question Similarity,(C) Question-External Comment Similarity, and (D) Rerank the correct answers for a new question in Arabic, providing all the data from 2015 and 2016 for training, and fresh data for testing. Additionally, we added a new subtask E in order to enable experimentation with Multi-domain Question Duplicate Detection in a larger-scale scenario, using StackExchange subforums. A total of 23 teams participated in the task, and submitted a total of 85 runs (36 primary and 49 contrastive) for subtasks A-D. Unfortunately, no teams participated in subtask E. A variety of approaches and features were used by the participating systems to address the different subtasks. The best systems achieved an official score (MAP) of 88.43, 47.22, 15.46, and 61.16 in subtasks A, B, C, and D, respectively. These scores are better than the baselines, especially for subtasks A-C.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Dec 2019.
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Citing papers per year: 2021: 6; 2022: 4; 2023: 1; 2024: 2.
13 papers.
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- 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
- 2021Biomedical Question Answering: A Survey of Approaches and Challengescited by 46
- 2021TWEAC: Transformer with Extendable QA Agent Classifierscited by 37
- 2021Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Modelscited by 22
- 2022ELQA: A Corpus of Metalinguistic Questions and Answers about Englishcited by 8
- 2023CPopQA: Ranking Cultural Concept Popularity by LLMscited by 8
- 2022"Mama Always Had a Way of Explaining Things So I Could Understand'': A Dialogue Corpus for Learning to Construct Explanationscited by 6
- 2021PerCQA: Persian Community Question Answering Datasetcited by 5
- 2024Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text Summarizationcited by 4
- 2021Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Taskscited by 2
- 2024Modeling the Quality of Dialogical Explanationscited by 2
- 2022Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variablescited by 0
1 more
- 2024Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text Summarization8 Apr 2024
- 2024Modeling the Quality of Dialogical Explanations1 Mar 2024
- 2023CPopQA: Ranking Cultural Concept Popularity by LLMs14 Nov 2023
- 2022Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables7 Nov 2022
- 2022Answer ranking in Community Question Answering: a deep learning approach16 Oct 2022
- 2022"Mama Always Had a Way of Explaining Things So I Could Understand'': A Dialogue Corpus for Learning to Construct Explanations6 Sep 2022
- 2022ELQA: A Corpus of Metalinguistic Questions and Answers about English1 May 2022
- 2021PerCQA: Persian Community Question Answering Dataset25 Dec 2021
- 2021Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks10 Oct 2021
- 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension27 Jul 2021
- 2021TWEAC: Transformer with Extendable QA Agent Classifiers14 Apr 2021
- 2021Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models11 Apr 2021
1 more
- 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehensioncited by 91
- 2021Biomedical Question Answering: A Survey of Approaches and Challengescited by 46
- 2021TWEAC: Transformer with Extendable QA Agent Classifierscited by 37
- 2021Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Modelscited by 22
- 2022ELQA: A Corpus of Metalinguistic Questions and Answers about Englishcited by 8
- 2023CPopQA: Ranking Cultural Concept Popularity by LLMscited by 8
- 2022"Mama Always Had a Way of Explaining Things So I Could Understand'': A Dialogue Corpus for Learning to Construct Explanationscited by 6
- 2021PerCQA: Persian Community Question Answering Datasetcited by 5
- 2024Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text Summarizationcited by 4
- 2021Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Taskscited by 2
- 2024Modeling the Quality of Dialogical Explanationscited by 2
- 2022Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variablescited by 0
12 most cited of 13 All 13 (JSON)
- 2024Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in Abstractive Text Summarization8 Apr 2024
- 2024Modeling the Quality of Dialogical Explanations1 Mar 2024
- 2023CPopQA: Ranking Cultural Concept Popularity by LLMs14 Nov 2023
- 2022Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables7 Nov 2022
- 2022Answer ranking in Community Question Answering: a deep learning approach16 Oct 2022
- 2022"Mama Always Had a Way of Explaining Things So I Could Understand'': A Dialogue Corpus for Learning to Construct Explanations6 Sep 2022
- 2022ELQA: A Corpus of Metalinguistic Questions and Answers about English1 May 2022
- 2021PerCQA: Persian Community Question Answering Dataset25 Dec 2021
- 2021Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks10 Oct 2021
- 2021QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension27 Jul 2021
- 2021TWEAC: Transformer with Extendable QA Agent Classifiers14 Apr 2021
- 2021Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models11 Apr 2021
12 newest of 13 All 13 (JSON)