Deep Learning for Answer Sentence Selection
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Abstract (arXiv)
Answer sentence selection is the task of identifying sentences that contain the answer to a given question. This is an important problem in its own right as well as in the larger context of open domain question answering. We propose a novel approach to solving this task via means of distributed representations, and learn to match questions with answers by considering their semantic encoding. This contrasts prior work on this task, which typically relies on classifiers with large numbers of hand-crafted syntactic and semantic features and various external resources. Our approach does not require any feature engineering nor does it involve specialist linguistic data, making this model easily applicable to a wide range of domains and languages. Experimental results on a standard benchmark dataset from TREC demonstrate that---despite its simplicity---our model matches state of the art performance on the answer sentence selection task.
Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Dec 2014.
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Citing papers per year: 2021: 5; 2022: 2; 2023: 7; 2024: 0; 2025: 2; 2026: 1.
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- 2023Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generationcited by 795
- 2023Learning to Filter Context for Retrieval-Augmented Generationcited by 82
- 2022Paraphrase Identification with Deep Learning: A Review of Datasets and Methodscited by 13
- 2021KOHTD: Kazakh Offline Handwritten Text Datasetcited by 10
- 2022Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Modelscited by 9
- 2025Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Modelscited by 7
- 2021Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive Learningcited by 4
- 2026Semantic Uncertainty Quantification of Hallucinations in LLMs: A Quantum Tensor Network Based Methodcited by 4
- 2023RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithmcited by 3
- 2023Customer Profiling, Segmentation, and Sales Prediction using AI in Direct Marketingcited by 3
- 2021A Coarse to Fine Question Answering System based on Reinforcement Learningcited by 2
- 2023Machine Reading Comprehension using Case-based Reasoningcited by 2
5 more
- 2023Feature Engineering in Learning-to-Rank for Community Question Answering Taskcited by 2
- 2025Efficient semantic uncertainty quantification in language models via diversity-steered samplingcited by 2
- 2021A Multi-Size Neural Network with Attention Mechanism for Answer Selectioncited by 1
- 2021Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identificationcited by 0
- 2023Beyond Accuracy: Measuring Representation Capacity of Embeddings to Preserve Structural and Contextual Informationcited by 0
- 2026Semantic Uncertainty Quantification of Hallucinations in LLMs: A Quantum Tensor Network Based Method27 Jan 2026
- 2025Efficient semantic uncertainty quantification in language models via diversity-steered sampling24 Oct 2025
- 2025Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models10 Jan 2025
- 2023Learning to Filter Context for Retrieval-Augmented Generation14 Nov 2023
- 2023Beyond Accuracy: Measuring Representation Capacity of Embeddings to Preserve Structural and Contextual Information20 Sep 2023
- 2023Feature Engineering in Learning-to-Rank for Community Question Answering Task14 Sep 2023
- 2023Machine Reading Comprehension using Case-based Reasoning24 May 2023
- 2023Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation19 Feb 2023
- 2023Customer Profiling, Segmentation, and Sales Prediction using AI in Direct Marketing3 Feb 2023
- 2023RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm7 Jan 2023
- 2022Paraphrase Identification with Deep Learning: A Review of Datasets and Methods13 Dec 2022
- 2022Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models4 May 2022
5 more
- 2021Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive Learning2 Nov 2021
- 2021KOHTD: Kazakh Offline Handwritten Text Dataset22 Sep 2021
- 2021Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identification3 Sep 2021
- 2021A Coarse to Fine Question Answering System based on Reinforcement Learning1 Jun 2021
- 2021A Multi-Size Neural Network with Attention Mechanism for Answer Selection24 Apr 2021
- 2023Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generationcited by 795
- 2022Paraphrase Identification with Deep Learning: A Review of Datasets and Methodscited by 13
- 2021KOHTD: Kazakh Offline Handwritten Text Datasetcited by 10
- 2021Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive Learningcited by 4
- 2026Semantic Uncertainty Quantification of Hallucinations in LLMs: A Quantum Tensor Network Based Methodcited by 4
- 2023RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithmcited by 3
- 2023Customer Profiling, Segmentation, and Sales Prediction using AI in Direct Marketingcited by 3
- 2021A Coarse to Fine Question Answering System based on Reinforcement Learningcited by 2
- 2023Machine Reading Comprehension using Case-based Reasoningcited by 2
- 2023Feature Engineering in Learning-to-Rank for Community Question Answering Taskcited by 2
- 2025Efficient semantic uncertainty quantification in language models via diversity-steered samplingcited by 2
- 2021A Multi-Size Neural Network with Attention Mechanism for Answer Selectioncited by 1
12 most cited of 14 All 14 (JSON)
- 2026Semantic Uncertainty Quantification of Hallucinations in LLMs: A Quantum Tensor Network Based Method27 Jan 2026
- 2025Efficient semantic uncertainty quantification in language models via diversity-steered sampling24 Oct 2025
- 2023Beyond Accuracy: Measuring Representation Capacity of Embeddings to Preserve Structural and Contextual Information20 Sep 2023
- 2023Feature Engineering in Learning-to-Rank for Community Question Answering Task14 Sep 2023
- 2023Machine Reading Comprehension using Case-based Reasoning24 May 2023
- 2023Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation19 Feb 2023
- 2023Customer Profiling, Segmentation, and Sales Prediction using AI in Direct Marketing3 Feb 2023
- 2023RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm7 Jan 2023
- 2022Paraphrase Identification with Deep Learning: A Review of Datasets and Methods13 Dec 2022
- 2021Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive Learning2 Nov 2021
- 2021KOHTD: Kazakh Offline Handwritten Text Dataset22 Sep 2021
- 2021Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identification3 Sep 2021
12 newest of 14 All 14 (JSON)