Questionable answers in question answering research: Reproducibility and variability of published results

M Crane - Transactions of the Association for Computational …, 2018 - direct.mit.edu
Abstract “Based on theoretical reasoning it has been suggested that the reliability of findings
published in the scientific literature decreases with the popularity of a research field”(Pfeiffer …

Deep just-in-time inconsistency detection between comments and source code

S Panthaplackel, JJ Li, M Gligoric… - Proceedings of the AAAI …, 2021 - ojs.aaai.org
Natural language comments convey key aspects of source code such as implementation,
usage, and pre-and post-conditions. Failure to update comments accordingly when the …

Contextual dialogue act classification for open-domain conversational agents

A Ahmadvand, JI Choi, E Agichtein - … of the 42nd international acm sigir …, 2019 - dl.acm.org
Classifying the general intent of the user utterance in a conversation, also known as
Dialogue Act (DA), eg, open-ended question, statement of opinion, or request for an opinion …

Cross-lingual knowledge distillation for answer sentence selection in low-resource languages

S Gupta, Y Matsubara, A Chadha… - arXiv preprint arXiv …, 2023 - arxiv.org
While impressive performance has been achieved on the task of Answer Sentence Selection
(AS2) for English, the same does not hold for languages that lack large labeled datasets. In …

Collaborative learning for answer selection in question answering

T Shao, X Kui, P Zhang, H Chen - IEEE Access, 2018 - ieeexplore.ieee.org
Answer selection is an essential step in a question answering (QA) system. Traditional
methods for this task mainly focus on developing linguistic features that are limited in …

Ranking via partial ordering for answer selection

ZX Jin, BW Zhang, F Zhou, J Qin, XC Yin - Information Sciences, 2020 - Elsevier
Answer selection with deep neural networks has been studied extensively owing to its
strong capability of encoding semantic features. Most previous work has treated the …

A passage-based approach to learning to rank documents

E Sheetrit, A Shtok, O Kurland - Information Retrieval Journal, 2020 - Springer
According to common relevance-judgments regimes, such as TREC's, a document can be
deemed relevant to a query even if it contains a very short passage of text with pertinent …

Towards recognition of textual entailment in the biomedical domain

NS Tawfik, MR Spruit - … : 24th International Conference on Applications of …, 2019 - Springer
The medical literature suffers from disagreements among authors discussing the same topic
or treatment. With thousands of articles published daily, there is a need to detect inconsistent …

Semantic linking in convolutional neural networks for answer sentence selection

M Nicosia, A Moschitti - Proceedings of the 2018 Conference on …, 2018 - aclanthology.org
State-of-the-art networks that model relations between two pieces of text often use complex
architectures and attention. In this paper, instead of focusing on architecture engineering, we …

Related or duplicate: Distinguishing similar CQA questions via convolutional neural networks

WE Zhang, QZ Sheng, Z Tang, W Ruan - The 41st international ACM …, 2018 - dl.acm.org
Plenty of research attempts target the automatic duplicate detection in Community Question
Answering (CQA) systems and frame the task as a supervised learning problem on the …