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 …
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
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 …
usage, and pre-and post-conditions. Failure to update comments accordingly when the …
Contextual dialogue act classification for open-domain conversational agents
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 …
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
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 …
(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 …
methods for this task mainly focus on developing linguistic features that are limited in …
Ranking via partial ordering for answer selection
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 …
strong capability of encoding semantic features. Most previous work has treated the …
A passage-based approach to learning to rank documents
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 …
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
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 …
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 …
architectures and attention. In this paper, instead of focusing on architecture engineering, we …
Related or duplicate: Distinguishing similar CQA questions via convolutional neural networks
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 …
Answering (CQA) systems and frame the task as a supervised learning problem on the …