Towards scalable and reliable capsule networks for challenging NLP applications
Obstacles hindering the development of capsule networks for challenging NLP applications
include poor scalability to large output spaces and less reliable routing processes. In this …
include poor scalability to large output spaces and less reliable routing processes. In this …
Exploring new frontiers in agricultural nlp: Investigating the potential of large language models for food applications
This paper explores new frontiers in agricultural natural language processing (NLP) by
investigating the effectiveness of food-related text corpora for pretraining transformer-based …
investigating the effectiveness of food-related text corpora for pretraining transformer-based …
Nonfactoid question answering as query-focused summarization with graph-enhanced multihop inference
Nonfactoid question answering (QA) is one of the most extensive yet challenging
applications and research areas in natural language processing (NLP). Existing methods fall …
applications and research areas in natural language processing (NLP). Existing methods fall …
[PDF][PDF] AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition.
Pretraining domain-specific language models remains an important challenge which limits
their applicability in various areas such as agriculture. This paper investigates the …
their applicability in various areas such as agriculture. This paper investigates the …
Joint learning of answer selection and answer summary generation in community question answering
Community question answering (CQA) gains increasing popularity in both academy and
industry recently. However, the redundancy and lengthiness issues of crowdsourced …
industry recently. However, the redundancy and lengthiness issues of crowdsourced …
Sending or not? A multimodal framework for Danmaku comment prediction
D Xi, W Xu, R Chen, Y Zhou, Z Yang - Information Processing & …, 2021 - Elsevier
Danmaku is an emerging comment design for videos that allows real-time, interactive
comments from viewers. Danmaku increases viewers' interaction with other viewers and …
comments from viewers. Danmaku increases viewers' interaction with other viewers and …
Multicqa: Zero-shot transfer of self-supervised text matching models on a massive scale
We study the zero-shot transfer capabilities of text matching models on a massive scale, by
self-supervised training on 140 source domains from community question answering forums …
self-supervised training on 140 source domains from community question answering forums …
TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site
Technical Q&A sites, such as Stack Overflow and Ask Ubuntu, have been widely utilized by
software engineers to seek support for development challenges. However, not all the raised …
software engineers to seek support for development challenges. However, not all the raised …
Bridging hierarchical and sequential context modeling for question-driven extractive answer summarization
Non-factoid question answering (QA) is one of the most extensive yet challenging
application and research areas of retrieval-based question answering. In particular, answers …
application and research areas of retrieval-based question answering. In particular, answers …
Neural duplicate question detection without labeled training data
Supervised training of neural models to duplicate question detection in community Question
Answering (cQA) requires large amounts of labeled question pairs, which are costly to …
Answering (cQA) requires large amounts of labeled question pairs, which are costly to …